diff --git a/tensorflow/BUILD b/tensorflow/BUILD
index e13a5cf802e..f8cd6820244 100644
--- a/tensorflow/BUILD
+++ b/tensorflow/BUILD
@@ -584,6 +584,7 @@ exports_files(
gen_api_init_files(
name = "tensorflow_python_api_gen",
srcs = ["api_template.__init__.py"],
+ api_version = 1,
root_init_template = "api_template.__init__.py",
)
diff --git a/tensorflow/tools/api/golden/BUILD b/tensorflow/tools/api/golden/BUILD
index ebdf42df2c0..1f041ef1936 100644
--- a/tensorflow/tools/api/golden/BUILD
+++ b/tensorflow/tools/api/golden/BUILD
@@ -7,6 +7,11 @@ package(
licenses(["notice"]) # Apache 2.0
filegroup(
- name = "api_golden",
- srcs = glob(["*.pbtxt"]),
+ name = "api_golden_v1",
+ srcs = glob(["v1/*.pbtxt"]),
+)
+
+filegroup(
+ name = "api_golden_v2",
+ srcs = glob(["v1/*.pbtxt"]),
)
diff --git a/tensorflow/tools/api/golden/tensorflow.-aggregation-method.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-aggregation-method.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-aggregation-method.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-aggregation-method.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-attr-value.-list-value.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-attr-value.-list-value.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-attr-value.-list-value.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-attr-value.-list-value.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-attr-value.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-attr-value.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-attr-value.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-attr-value.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-conditional-accumulator-base.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator-base.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-conditional-accumulator-base.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator-base.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-conditional-accumulator.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-config-proto.-device-count-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-device-count-entry.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-config-proto.-device-count-entry.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-device-count-entry.pbtxt
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt
new file mode 100644
index 00000000000..eb41deee13d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt
@@ -0,0 +1,24 @@
+path: "tensorflow.ConfigProto.Experimental"
+tf_proto {
+ descriptor {
+ name: "Experimental"
+ field {
+ name: "collective_group_leader"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "client_handles_error_formatting"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "executor_type"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt
new file mode 100644
index 00000000000..e565b903d22
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt
@@ -0,0 +1,148 @@
+path: "tensorflow.ConfigProto"
+tf_proto {
+ descriptor {
+ name: "ConfigProto"
+ field {
+ name: "device_count"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ConfigProto.DeviceCountEntry"
+ }
+ field {
+ name: "intra_op_parallelism_threads"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "inter_op_parallelism_threads"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "use_per_session_threads"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "session_inter_op_thread_pool"
+ number: 12
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ThreadPoolOptionProto"
+ }
+ field {
+ name: "placement_period"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "device_filters"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ field {
+ name: "gpu_options"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GPUOptions"
+ }
+ field {
+ name: "allow_soft_placement"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "log_device_placement"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "graph_options"
+ number: 10
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GraphOptions"
+ }
+ field {
+ name: "operation_timeout_in_ms"
+ number: 11
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "rpc_options"
+ number: 13
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.RPCOptions"
+ }
+ field {
+ name: "cluster_def"
+ number: 14
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ClusterDef"
+ }
+ field {
+ name: "isolate_session_state"
+ number: 15
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "experimental"
+ number: 16
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ConfigProto.Experimental"
+ }
+ nested_type {
+ name: "DeviceCountEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ options {
+ map_entry: true
+ }
+ }
+ nested_type {
+ name: "Experimental"
+ field {
+ name: "collective_group_leader"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "client_handles_error_formatting"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "executor_type"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.-d-type.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-d-type.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-d-type.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-d-type.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-device-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-device-spec.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-device-spec.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-device-spec.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-dimension.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-dimension.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-dimension.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-dimension.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-event.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-event.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-event.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-event.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-f-i-f-o-queue.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-f-i-f-o-queue.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-f-i-f-o-queue.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-fixed-len-feature.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-feature.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-fixed-len-feature.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-feature.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-fixed-len-sequence-feature.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-sequence-feature.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-fixed-len-sequence-feature.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-sequence-feature.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-fixed-length-record-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-length-record-reader.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-fixed-length-record-reader.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-fixed-length-record-reader.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-g-p-u-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-g-p-u-options.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-g-p-u-options.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-g-p-u-options.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-gradient-tape.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-gradient-tape.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-gradient-tape.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-gradient-tape.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-graph-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph-def.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-graph-def.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-graph-def.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-graph-keys.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph-keys.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-graph-keys.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-graph-keys.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-graph-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph-options.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-graph-options.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-graph-options.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-graph.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-graph.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-graph.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-histogram-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-histogram-proto.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-histogram-proto.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-histogram-proto.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-identity-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-identity-reader.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-identity-reader.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-identity-reader.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-indexed-slices.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-indexed-slices.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-indexed-slices.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-indexed-slices.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-interactive-session.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-interactive-session.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.-interactive-session.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.-interactive-session.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.-l-m-d-b-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-l-m-d-b-reader.pbtxt
similarity index 100%
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diff --git a/tensorflow/tools/api/golden/tensorflow.-log-message.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-log-message.pbtxt
similarity index 100%
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diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt
similarity index 100%
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diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-meta-info-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-meta-info-def.pbtxt
similarity index 100%
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diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt
similarity index 100%
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similarity index 100%
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diff --git a/tensorflow/tools/api/golden/tensorflow.-name-attr-list.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.-attr-entry.pbtxt
similarity index 100%
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new file mode 100644
index 00000000000..4f0147a5238
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-iterator.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.data.Iterator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_classes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shapes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'iterator_resource\', \'initializer\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_string_handle"
+ argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "from_structure"
+ argspec: "args=[\'output_types\', \'output_shapes\', \'shared_name\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_next"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "make_initializer"
+ argspec: "args=[\'self\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "string_handle"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
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rename from tensorflow/tools/api/golden/tensorflow.errors.-op-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-op-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-out-of-range-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-out-of-range-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-out-of-range-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-out-of-range-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-permission-denied-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-permission-denied-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-permission-denied-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-permission-denied-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-resource-exhausted-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-resource-exhausted-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-resource-exhausted-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-resource-exhausted-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unauthenticated-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unauthenticated-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-unauthenticated-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-unauthenticated-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unavailable-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unavailable-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-unavailable-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-unavailable-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unimplemented-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unimplemented-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-unimplemented-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-unimplemented-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unknown-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unknown-error.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.-unknown-error.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.-unknown-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-baseline-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-classifier.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-baseline-classifier.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-classifier.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-baseline-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-regressor.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-baseline-regressor.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-regressor.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-best-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-best-exporter.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-best-exporter.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-best-exporter.pbtxt
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt
new file mode 100644
index 00000000000..c23b04b4ef8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.BoostedTreesClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesClassifier\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt
new file mode 100644
index 00000000000..6878d28fffa
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.BoostedTreesRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesRegressor\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-classifier.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-classifier.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-classifier.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-regressor.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-estimator-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator-spec.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-estimator-spec.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator-spec.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-estimator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-estimator.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-eval-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-eval-spec.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-eval-spec.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-eval-spec.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-exporter.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-exporter.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-exporter.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-final-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-final-exporter.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-final-exporter.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-final-exporter.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-latest-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-latest-exporter.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-latest-exporter.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-latest-exporter.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-linear-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-classifier.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-linear-classifier.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-classifier.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-linear-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-regressor.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-linear-regressor.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-regressor.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-mode-keys.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-mode-keys.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-mode-keys.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-mode-keys.pbtxt
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-run-config.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-run-config.pbtxt
new file mode 100644
index 00000000000..bf1f94b6aed
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-run-config.pbtxt
@@ -0,0 +1,105 @@
+path: "tensorflow.estimator.RunConfig"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.run_config.RunConfig\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "cluster_spec"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "device_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "eval_distribute"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "evaluation_master"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "global_id_in_cluster"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_chief"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "keep_checkpoint_every_n_hours"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "keep_checkpoint_max"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "log_step_count_steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "master"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "num_ps_replicas"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "num_worker_replicas"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "protocol"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_checkpoints_secs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_checkpoints_steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_summary_steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "service"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "session_config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "task_id"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "task_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tf_random_seed"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "train_distribute"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_dir\', \'tf_random_seed\', \'save_summary_steps\', \'save_checkpoints_steps\', \'save_checkpoints_secs\', \'session_config\', \'keep_checkpoint_max\', \'keep_checkpoint_every_n_hours\', \'log_step_count_steps\', \'train_distribute\', \'device_fn\', \'protocol\', \'eval_distribute\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'100\', \'<object object instance>\', \'<object object instance>\', \'None\', \'5\', \'10000\', \'100\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "replace"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-train-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-train-spec.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-train-spec.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-train-spec.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-vocab-info.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-vocab-info.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-vocab-info.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-warm-start-settings.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-warm-start-settings.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.-warm-start-settings.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.-warm-start-settings.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-serving-input-receiver.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-serving-input-receiver.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-serving-input-receiver.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.export.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.export.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.inputs.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.inputs.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.inputs.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.inputs.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.estimator.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.estimator.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.feature_column.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.feature_column.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.feature_column.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.feature_column.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.-fast-g-file.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-fast-g-file.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.gfile.-fast-g-file.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.gfile.-fast-g-file.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.-g-file.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-g-file.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.gfile.-g-file.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.gfile.-g-file.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.-open.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-open.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.gfile.-open.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.gfile.-open.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.gfile.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.gfile.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.graph_util.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.graph_util.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.graph_util.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.graph_util.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.image.-resize-method.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.image.-resize-method.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.image.-resize-method.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.image.-resize-method.pbtxt
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.image.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.image.pbtxt
new file mode 100644
index 00000000000..5c46dc5ee7d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.image.pbtxt
@@ -0,0 +1,251 @@
+path: "tensorflow.image"
+tf_module {
+ member {
+ name: "ResizeMethod"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "adjust_brightness"
+ argspec: "args=[\'image\', \'delta\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "adjust_contrast"
+ argspec: "args=[\'images\', \'contrast_factor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "adjust_gamma"
+ argspec: "args=[\'image\', \'gamma\', \'gain\'], varargs=None, keywords=None, defaults=[\'1\', \'1\'], "
+ }
+ member_method {
+ name: "adjust_hue"
+ argspec: "args=[\'image\', \'delta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "adjust_jpeg_quality"
+ argspec: "args=[\'image\', \'jpeg_quality\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "adjust_saturation"
+ argspec: "args=[\'image\', \'saturation_factor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "central_crop"
+ argspec: "args=[\'image\', \'central_fraction\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "convert_image_dtype"
+ argspec: "args=[\'image\', \'dtype\', \'saturate\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "crop_and_resize"
+ argspec: "args=[\'image\', \'boxes\', \'box_ind\', \'crop_size\', \'method\', \'extrapolation_value\', \'name\'], varargs=None, keywords=None, defaults=[\'bilinear\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "crop_to_bounding_box"
+ argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "decode_and_crop_jpeg"
+ argspec: "args=[\'contents\', \'crop_window\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], "
+ }
+ member_method {
+ name: "decode_bmp"
+ argspec: "args=[\'contents\', \'channels\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
+ }
+ member_method {
+ name: "decode_gif"
+ argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "decode_image"
+ argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'uint8\'>\", \'None\'], "
+ }
+ member_method {
+ name: "decode_jpeg"
+ argspec: "args=[\'contents\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], "
+ }
+ member_method {
+ name: "decode_png"
+ argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'uint8\'>\", \'None\'], "
+ }
+ member_method {
+ name: "draw_bounding_boxes"
+ argspec: "args=[\'images\', \'boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "encode_jpeg"
+ argspec: "args=[\'image\', \'format\', \'quality\', \'progressive\', \'optimize_size\', \'chroma_downsampling\', \'density_unit\', \'x_density\', \'y_density\', \'xmp_metadata\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'95\', \'False\', \'False\', \'True\', \'in\', \'300\', \'300\', \'\', \'None\'], "
+ }
+ member_method {
+ name: "encode_png"
+ argspec: "args=[\'image\', \'compression\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
+ }
+ member_method {
+ name: "extract_glimpse"
+ argspec: "args=[\'input\', \'size\', \'offsets\', \'centered\', \'normalized\', \'uniform_noise\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'True\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "extract_image_patches"
+ argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "extract_jpeg_shape"
+ argspec: "args=[\'contents\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
+ }
+ member_method {
+ name: "flip_left_right"
+ argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flip_up_down"
+ argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "grayscale_to_rgb"
+ argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "hsv_to_rgb"
+ argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "image_gradients"
+ argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_jpeg"
+ argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "non_max_suppression"
+ argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], "
+ }
+ member_method {
+ name: "non_max_suppression_overlaps"
+ argspec: "args=[\'overlaps\', \'scores\', \'max_output_size\', \'overlap_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], "
+ }
+ member_method {
+ name: "non_max_suppression_padded"
+ argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'pad_to_max_output_size\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "pad_to_bounding_box"
+ argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "per_image_standardization"
+ argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "psnr"
+ argspec: "args=[\'a\', \'b\', \'max_val\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_brightness"
+ argspec: "args=[\'image\', \'max_delta\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_contrast"
+ argspec: "args=[\'image\', \'lower\', \'upper\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_flip_left_right"
+ argspec: "args=[\'image\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_flip_up_down"
+ argspec: "args=[\'image\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_hue"
+ argspec: "args=[\'image\', \'max_delta\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_jpeg_quality"
+ argspec: "args=[\'image\', \'min_jpeg_quality\', \'max_jpeg_quality\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "random_saturation"
+ argspec: "args=[\'image\', \'lower\', \'upper\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "resize_area"
+ argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "resize_bicubic"
+ argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "resize_bilinear"
+ argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "resize_image_with_crop_or_pad"
+ argspec: "args=[\'image\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "resize_image_with_pad"
+ argspec: "args=[\'image\', \'target_height\', \'target_width\', \'method\'], varargs=None, keywords=None, defaults=[\'0\'], "
+ }
+ member_method {
+ name: "resize_images"
+ argspec: "args=[\'images\', \'size\', \'method\', \'align_corners\', \'preserve_aspect_ratio\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\'], "
+ }
+ member_method {
+ name: "resize_nearest_neighbor"
+ argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "rgb_to_grayscale"
+ argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "rgb_to_hsv"
+ argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "rgb_to_yiq"
+ argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "rgb_to_yuv"
+ argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "rot90"
+ argspec: "args=[\'image\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], "
+ }
+ member_method {
+ name: "sample_distorted_bounding_box"
+ argspec: "args=[\'image_size\', \'bounding_boxes\', \'seed\', \'seed2\', \'min_object_covered\', \'aspect_ratio_range\', \'area_range\', \'max_attempts\', \'use_image_if_no_bounding_boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0.1\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "sobel_edges"
+ argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "ssim"
+ argspec: "args=[\'img1\', \'img2\', \'max_val\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "ssim_multiscale"
+ argspec: "args=[\'img1\', \'img2\', \'max_val\', \'power_factors\'], varargs=None, keywords=None, defaults=[\'(0.0448, 0.2856, 0.3001, 0.2363, 0.1333)\'], "
+ }
+ member_method {
+ name: "total_variation"
+ argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "transpose_image"
+ argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "yiq_to_rgb"
+ argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "yuv_to_rgb"
+ argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.constant.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.constant.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.constant.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.identity.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.identity.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.identity.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.ones.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.ones.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.ones.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.orthogonal.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.orthogonal.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.orthogonal.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.random_normal.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.random_normal.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.random_normal.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.random_uniform.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.random_uniform.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.random_uniform.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.truncated_normal.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.truncated_normal.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.truncated_normal.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.uniform_unit_scaling.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.uniform_unit_scaling.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.uniform_unit_scaling.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.uniform_unit_scaling.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.variance_scaling.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.variance_scaling.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.variance_scaling.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.variance_scaling.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.zeros.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.initializers.zeros.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.initializers.zeros.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.io.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.io.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.io.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.io.pbtxt
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.-model.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.-model.pbtxt
new file mode 100644
index 00000000000..e579fe6a1ae
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.-model.pbtxt
@@ -0,0 +1,268 @@
+path: "tensorflow.keras.Model"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_spec"
+ mtype: "<type \'property\'>"
+ }
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.-sequential.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.-sequential.pbtxt
new file mode 100644
index 00000000000..6f05cdd093d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.-sequential.pbtxt
@@ -0,0 +1,289 @@
+path: "tensorflow.keras.Sequential"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.sequential.Sequential\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_spec"
+ mtype: "<type \'property\'>"
+ }
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+ name: "layers"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "state_updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "stateful"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "uses_learning_phase"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'layers\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
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+ name: "add_loss"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
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+ }
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+ name: "add_weight"
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+ }
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+ }
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+ name: "compile"
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+ }
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+ }
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+ }
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+ name: "fit"
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+ }
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+ }
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+ }
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+ }
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+ }
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+ name: "save_weights"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
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+ name: "set_weights"
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+ }
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+ }
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+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "to_json"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "to_yaml"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
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+ name: "train_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.activations.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.activations.pbtxt
new file mode 100644
index 00000000000..2e9de9ebb21
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.activations.pbtxt
@@ -0,0 +1,55 @@
+path: "tensorflow.keras.activations"
+tf_module {
+ member_method {
+ name: "deserialize"
+ argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "elu"
+ argspec: "args=[\'x\', \'alpha\'], varargs=None, keywords=None, defaults=[\'1.0\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "hard_sigmoid"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "linear"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "relu"
+ argspec: "args=[\'x\', \'alpha\', \'max_value\', \'threshold\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'0\'], "
+ }
+ member_method {
+ name: "selu"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "serialize"
+ argspec: "args=[\'activation\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "sigmoid"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "softmax"
+ argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "softplus"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "softsign"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "tanh"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.densenet.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.applications.densenet.pbtxt
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diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-model.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-model.pbtxt
new file mode 100644
index 00000000000..56914e1746b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-model.pbtxt
@@ -0,0 +1,268 @@
+path: "tensorflow.keras.models.Model"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_spec"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "layers"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-sequential.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-sequential.pbtxt
new file mode 100644
index 00000000000..4c1c54001d5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-sequential.pbtxt
@@ -0,0 +1,289 @@
+path: "tensorflow.keras.models.Sequential"
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diff --git a/tensorflow/tools/api/golden/tensorflow.keras.models.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.keras.models.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.keras.models.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adadelta.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adadelta.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adadelta.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adadelta.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adagrad.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adagrad.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adagrad.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adagrad.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adam.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adam.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adam.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adam.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adamax.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adamax.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adamax.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adamax.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-nadam.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-nadam.pbtxt
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rename to tensorflow/tools/api/golden/v1/tensorflow.train.-nan-loss-during-training-error.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-nan-tensor-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-nan-tensor-hook.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-nan-tensor-hook.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-nan-tensor-hook.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-optimizer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-optimizer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-optimizer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-profiler-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-profiler-hook.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-profiler-hook.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-profiler-hook.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-proximal-adagrad-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-queue-runner.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-queue-runner.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-queue-runner.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-r-m-s-prop-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-r-m-s-prop-optimizer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-r-m-s-prop-optimizer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-r-m-s-prop-optimizer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-saver-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-saver-def.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-saver-def.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-saver-def.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-saver.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-saver.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-saver.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-saver.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-scaffold.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-scaffold.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-scaffold.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-scaffold.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-second-or-step-timer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-second-or-step-timer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-second-or-step-timer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-second-or-step-timer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-sequence-example.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-sequence-example.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-sequence-example.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-sequence-example.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-server-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-server-def.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-server-def.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-server-def.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-server.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-server.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-server.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-server.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-session-creator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-session-creator.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-session-creator.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-session-creator.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-session-manager.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-session-manager.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-session-manager.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-session-manager.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-session-run-args.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-args.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-session-run-args.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-args.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-session-run-context.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-context.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-session-run-context.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-context.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-session-run-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-hook.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-session-run-hook.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-hook.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-session-run-values.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-values.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-session-run-values.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-session-run-values.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-singular-monitored-session.-step-context.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-singular-monitored-session.-step-context.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-singular-monitored-session.-step-context.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-singular-monitored-session.-step-context.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-singular-monitored-session.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-singular-monitored-session.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-singular-monitored-session.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-singular-monitored-session.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-step-counter-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-step-counter-hook.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-step-counter-hook.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-step-counter-hook.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-stop-at-step-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-stop-at-step-hook.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-stop-at-step-hook.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-stop-at-step-hook.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-summary-saver-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-summary-saver-hook.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-summary-saver-hook.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-summary-saver-hook.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-supervisor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-supervisor.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-supervisor.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-supervisor.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-sync-replicas-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-sync-replicas-optimizer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-sync-replicas-optimizer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-sync-replicas-optimizer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-vocab-info.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-vocab-info.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-vocab-info.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.-worker-session-creator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-worker-session-creator.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.-worker-session-creator.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.-worker-session-creator.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.queue_runner.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.-queue-runner.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.queue_runner.-queue-runner.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.-queue-runner.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.train.queue_runner.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.train.queue_runner.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.truncated_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.truncated_normal_initializer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.truncated_normal_initializer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.truncated_normal_initializer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.uniform_unit_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.uniform_unit_scaling_initializer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.uniform_unit_scaling_initializer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.uniform_unit_scaling_initializer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.variable_scope.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.variable_scope.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.variable_scope.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.variable_scope.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.variance_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.variance_scaling_initializer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.variance_scaling_initializer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.variance_scaling_initializer.pbtxt
diff --git a/tensorflow/tools/api/golden/tensorflow.zeros_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.zeros_initializer.pbtxt
similarity index 100%
rename from tensorflow/tools/api/golden/tensorflow.zeros_initializer.pbtxt
rename to tensorflow/tools/api/golden/v1/tensorflow.zeros_initializer.pbtxt
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt
new file mode 100644
index 00000000000..f79029d3fe0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt
@@ -0,0 +1,24 @@
+path: "tensorflow.AggregationMethod"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.gradients_impl.AggregationMethod\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "ADD_N"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "DEFAULT"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "EXPERIMENTAL_ACCUMULATE_N"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "EXPERIMENTAL_TREE"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.-list-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.-list-value.pbtxt
new file mode 100644
index 00000000000..f1dffd59528
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.-list-value.pbtxt
@@ -0,0 +1,70 @@
+path: "tensorflow.AttrValue.ListValue"
+tf_proto {
+ descriptor {
+ name: "ListValue"
+ field {
+ name: "s"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_BYTES
+ }
+ field {
+ name: "i"
+ number: 3
+ label: LABEL_REPEATED
+ type: TYPE_INT64
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "f"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_FLOAT
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "b"
+ number: 5
+ label: LABEL_REPEATED
+ type: TYPE_BOOL
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "type"
+ number: 6
+ label: LABEL_REPEATED
+ type: TYPE_ENUM
+ type_name: ".tensorflow.DataType"
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "shape"
+ number: 7
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ }
+ field {
+ name: "func"
+ number: 9
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.NameAttrList"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.pbtxt
new file mode 100644
index 00000000000..6ccd64f428c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.pbtxt
@@ -0,0 +1,151 @@
+path: "tensorflow.AttrValue"
+tf_proto {
+ descriptor {
+ name: "AttrValue"
+ field {
+ name: "s"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "i"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ oneof_index: 0
+ }
+ field {
+ name: "f"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ oneof_index: 0
+ }
+ field {
+ name: "b"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ oneof_index: 0
+ }
+ field {
+ name: "type"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.DataType"
+ oneof_index: 0
+ }
+ field {
+ name: "shape"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ oneof_index: 0
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ oneof_index: 0
+ }
+ field {
+ name: "list"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.AttrValue.ListValue"
+ oneof_index: 0
+ }
+ field {
+ name: "func"
+ number: 10
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.NameAttrList"
+ oneof_index: 0
+ }
+ field {
+ name: "placeholder"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ oneof_index: 0
+ }
+ nested_type {
+ name: "ListValue"
+ field {
+ name: "s"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_BYTES
+ }
+ field {
+ name: "i"
+ number: 3
+ label: LABEL_REPEATED
+ type: TYPE_INT64
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "f"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_FLOAT
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "b"
+ number: 5
+ label: LABEL_REPEATED
+ type: TYPE_BOOL
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "type"
+ number: 6
+ label: LABEL_REPEATED
+ type: TYPE_ENUM
+ type_name: ".tensorflow.DataType"
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "shape"
+ number: 7
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ }
+ field {
+ name: "func"
+ number: 9
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.NameAttrList"
+ }
+ }
+ oneof_decl {
+ name: "value"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator-base.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator-base.pbtxt
new file mode 100644
index 00000000000..c9a32c16b34
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator-base.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.ConditionalAccumulatorBase"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "accumulator_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'shape\', \'accumulator_ref\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "num_accumulated"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_global_step"
+ argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator.pbtxt
new file mode 100644
index 00000000000..d23b3bd0cae
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator.pbtxt
@@ -0,0 +1,38 @@
+path: "tensorflow.ConditionalAccumulator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulator\'>"
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "accumulator_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'conditional_accumulator\'], "
+ }
+ member_method {
+ name: "apply_grad"
+ argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
+ }
+ member_method {
+ name: "num_accumulated"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_global_step"
+ argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "take_grad"
+ argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-device-count-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-device-count-entry.pbtxt
new file mode 100644
index 00000000000..d9b14268289
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-device-count-entry.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.ConfigProto.DeviceCountEntry"
+tf_proto {
+ descriptor {
+ name: "DeviceCountEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-experimental.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-experimental.pbtxt
new file mode 100644
index 00000000000..ef9fe096a11
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-experimental.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.ConfigProto.Experimental"
+tf_proto {
+ descriptor {
+ name: "Experimental"
+ field {
+ name: "collective_group_leader"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "client_handles_error_formatting"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.pbtxt
new file mode 100644
index 00000000000..eeef15515d7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.pbtxt
@@ -0,0 +1,142 @@
+path: "tensorflow.ConfigProto"
+tf_proto {
+ descriptor {
+ name: "ConfigProto"
+ field {
+ name: "device_count"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ConfigProto.DeviceCountEntry"
+ }
+ field {
+ name: "intra_op_parallelism_threads"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "inter_op_parallelism_threads"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "use_per_session_threads"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "session_inter_op_thread_pool"
+ number: 12
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ThreadPoolOptionProto"
+ }
+ field {
+ name: "placement_period"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "device_filters"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ field {
+ name: "gpu_options"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GPUOptions"
+ }
+ field {
+ name: "allow_soft_placement"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "log_device_placement"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "graph_options"
+ number: 10
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GraphOptions"
+ }
+ field {
+ name: "operation_timeout_in_ms"
+ number: 11
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "rpc_options"
+ number: 13
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.RPCOptions"
+ }
+ field {
+ name: "cluster_def"
+ number: 14
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ClusterDef"
+ }
+ field {
+ name: "isolate_session_state"
+ number: 15
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "experimental"
+ number: 16
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ConfigProto.Experimental"
+ }
+ nested_type {
+ name: "DeviceCountEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ options {
+ map_entry: true
+ }
+ }
+ nested_type {
+ name: "Experimental"
+ field {
+ name: "collective_group_leader"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "client_handles_error_formatting"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-d-type.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-d-type.pbtxt
new file mode 100644
index 00000000000..0b5b88bba80
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-d-type.pbtxt
@@ -0,0 +1,77 @@
+path: "tensorflow.DType"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.dtypes.DType\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "as_datatype_enum"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "as_numpy_dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "base_dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_bool"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_complex"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_floating"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_integer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_numpy_compatible"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_quantized"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_unsigned"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "limits"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "max"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "min"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "real_dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "size"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'type_enum\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_compatible_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-device-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-device-spec.pbtxt
new file mode 100644
index 00000000000..92e535c3414
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-device-spec.pbtxt
@@ -0,0 +1,37 @@
+path: "tensorflow.DeviceSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.device.DeviceSpec\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "job"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "replica"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "task"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'job\', \'replica\', \'task\', \'device_type\', \'device_index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "from_string"
+ argspec: "args=[\'spec\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "merge_from"
+ argspec: "args=[\'self\', \'dev\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "parse_from_string"
+ argspec: "args=[\'self\', \'spec\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "to_string"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-dimension.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-dimension.pbtxt
new file mode 100644
index 00000000000..a9ab27719b4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-dimension.pbtxt
@@ -0,0 +1,25 @@
+path: "tensorflow.Dimension"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.tensor_shape.Dimension\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "value"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "assert_is_compatible_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_compatible_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "merge_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-event.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-event.pbtxt
new file mode 100644
index 00000000000..3b75a1735be
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-event.pbtxt
@@ -0,0 +1,74 @@
+path: "tensorflow.Event"
+tf_proto {
+ descriptor {
+ name: "Event"
+ field {
+ name: "wall_time"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "step"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "file_version"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ oneof_index: 0
+ }
+ field {
+ name: "graph_def"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "summary"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary"
+ oneof_index: 0
+ }
+ field {
+ name: "log_message"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.LogMessage"
+ oneof_index: 0
+ }
+ field {
+ name: "session_log"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SessionLog"
+ oneof_index: 0
+ }
+ field {
+ name: "tagged_run_metadata"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TaggedRunMetadata"
+ oneof_index: 0
+ }
+ field {
+ name: "meta_graph_def"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "what"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-f-i-f-o-queue.pbtxt
new file mode 100644
index 00000000000..a095616c00c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-f-i-f-o-queue.pbtxt
@@ -0,0 +1,66 @@
+path: "tensorflow.FIFOQueue"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.FIFOQueue\'>"
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtypes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "names"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shapes"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'capacity\', \'dtypes\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'fifo_queue\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "dequeue"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_many"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_up_to"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue_many"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "from_list"
+ argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_closed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-feature.pbtxt
new file mode 100644
index 00000000000..6933814a7b6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-feature.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.FixedLenFeature"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenFeature\'>"
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenFeature\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "default_value"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-sequence-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-sequence-feature.pbtxt
new file mode 100644
index 00000000000..c5387879519
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-sequence-feature.pbtxt
@@ -0,0 +1,31 @@
+path: "tensorflow.FixedLenSequenceFeature"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenSequenceFeature\'>"
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenSequenceFeature\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "allow_missing"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "default_value"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-fixed-length-record-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-length-record-reader.pbtxt
new file mode 100644
index 00000000000..260c796fd65
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-length-record-reader.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.FixedLengthRecordReader"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.FixedLengthRecordReader\'>"
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'record_bytes\', \'header_bytes\', \'footer_bytes\', \'hop_bytes\', \'name\', \'encoding\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-g-p-u-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-g-p-u-options.pbtxt
new file mode 100644
index 00000000000..353e63127de
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-g-p-u-options.pbtxt
@@ -0,0 +1,92 @@
+path: "tensorflow.GPUOptions"
+tf_proto {
+ descriptor {
+ name: "GPUOptions"
+ field {
+ name: "per_process_gpu_memory_fraction"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "allow_growth"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "allocator_type"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "deferred_deletion_bytes"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "visible_device_list"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "polling_active_delay_usecs"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "polling_inactive_delay_msecs"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "force_gpu_compatible"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "experimental"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GPUOptions.Experimental"
+ }
+ nested_type {
+ name: "Experimental"
+ field {
+ name: "virtual_devices"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GPUOptions.Experimental.VirtualDevices"
+ }
+ field {
+ name: "use_unified_memory"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "num_dev_to_dev_copy_streams"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ nested_type {
+ name: "VirtualDevices"
+ field {
+ name: "memory_limit_mb"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_FLOAT
+ }
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-gradient-tape.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-gradient-tape.pbtxt
new file mode 100644
index 00000000000..cbf655498c0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-gradient-tape.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.GradientTape"
+tf_class {
+ is_instance: "<class \'tensorflow.python.eager.backprop.GradientTape\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'persistent\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "gradient"
+ argspec: "args=[\'self\', \'target\', \'sources\', \'output_gradients\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "stop_recording"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "watch"
+ argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "watched_variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph-def.pbtxt
new file mode 100644
index 00000000000..19eccff03d2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph-def.pbtxt
@@ -0,0 +1,36 @@
+path: "tensorflow.GraphDef"
+tf_proto {
+ descriptor {
+ name: "GraphDef"
+ field {
+ name: "node"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.NodeDef"
+ }
+ field {
+ name: "versions"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.VersionDef"
+ }
+ field {
+ name: "version"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ options {
+ deprecated: true
+ }
+ }
+ field {
+ name: "library"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.FunctionDefLibrary"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph-keys.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph-keys.pbtxt
new file mode 100644
index 00000000000..ffe47909339
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph-keys.pbtxt
@@ -0,0 +1,140 @@
+path: "tensorflow.GraphKeys"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.GraphKeys\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "ACTIVATIONS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "ASSET_FILEPATHS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "BIASES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "CONCATENATED_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "COND_CONTEXT"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "EVAL_STEP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "GLOBAL_STEP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "GLOBAL_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "INIT_OP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "LOCAL_INIT_OP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "LOCAL_RESOURCES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "LOCAL_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "LOSSES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "METRIC_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "MODEL_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "MOVING_AVERAGE_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "QUEUE_RUNNERS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "READY_FOR_LOCAL_INIT_OP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "READY_OP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "REGULARIZATION_LOSSES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "RESOURCES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SAVEABLE_OBJECTS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SAVERS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SUMMARIES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SUMMARY_OP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TABLE_INITIALIZERS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TRAINABLE_RESOURCE_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TRAINABLE_VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TRAIN_OP"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "UPDATE_OPS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "VARIABLES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "WEIGHTS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "WHILE_CONTEXT"
+ mtype: "<type \'str\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph-options.pbtxt
new file mode 100644
index 00000000000..a9f99bc171c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph-options.pbtxt
@@ -0,0 +1,67 @@
+path: "tensorflow.GraphOptions"
+tf_proto {
+ descriptor {
+ name: "GraphOptions"
+ field {
+ name: "enable_recv_scheduling"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "optimizer_options"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.OptimizerOptions"
+ }
+ field {
+ name: "build_cost_model"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "build_cost_model_after"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "infer_shapes"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "place_pruned_graph"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "enable_bfloat16_sendrecv"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "timeline_step"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "rewrite_options"
+ number: 10
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.RewriterConfig"
+ }
+ reserved_range {
+ start: 1
+ end: 2
+ }
+ reserved_name: "skip_common_subexpression_elimination"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph.pbtxt
new file mode 100644
index 00000000000..cdaeb55e308
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph.pbtxt
@@ -0,0 +1,141 @@
+path: "tensorflow.Graph"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.Graph\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "building_function"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "collections"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "finalized"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_def_versions"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "seed"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "version"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "add_to_collection"
+ argspec: "args=[\'self\', \'name\', \'value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "add_to_collections"
+ argspec: "args=[\'self\', \'names\', \'value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_default"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_graph_def"
+ argspec: "args=[\'self\', \'from_version\', \'add_shapes\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
+ member_method {
+ name: "as_graph_element"
+ argspec: "args=[\'self\', \'obj\', \'allow_tensor\', \'allow_operation\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+ }
+ member_method {
+ name: "clear_collection"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "colocate_with"
+ argspec: "args=[\'self\', \'op\', \'ignore_existing\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "container"
+ argspec: "args=[\'self\', \'container_name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "control_dependencies"
+ argspec: "args=[\'self\', \'control_inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "create_op"
+ argspec: "args=[\'self\', \'op_type\', \'inputs\', \'dtypes\', \'input_types\', \'name\', \'attrs\', \'op_def\', \'compute_shapes\', \'compute_device\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\', \'True\'], "
+ }
+ member_method {
+ name: "device"
+ argspec: "args=[\'self\', \'device_name_or_function\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "finalize"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_all_collection_keys"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_collection"
+ argspec: "args=[\'self\', \'name\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_collection_ref"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_name_scope"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_operation_by_name"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_operations"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_tensor_by_name"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "gradient_override_map"
+ argspec: "args=[\'self\', \'op_type_map\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_feedable"
+ argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_fetchable"
+ argspec: "args=[\'self\', \'tensor_or_op\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "name_scope"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prevent_feeding"
+ argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prevent_fetching"
+ argspec: "args=[\'self\', \'op\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "switch_to_thread_local"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "unique_name"
+ argspec: "args=[\'self\', \'name\', \'mark_as_used\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-histogram-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-histogram-proto.pbtxt
new file mode 100644
index 00000000000..d4402f330b8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-histogram-proto.pbtxt
@@ -0,0 +1,54 @@
+path: "tensorflow.HistogramProto"
+tf_proto {
+ descriptor {
+ name: "HistogramProto"
+ field {
+ name: "min"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "max"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "num"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "sum"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "sum_squares"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "bucket_limit"
+ number: 6
+ label: LABEL_REPEATED
+ type: TYPE_DOUBLE
+ options {
+ packed: true
+ }
+ }
+ field {
+ name: "bucket"
+ number: 7
+ label: LABEL_REPEATED
+ type: TYPE_DOUBLE
+ options {
+ packed: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-identity-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-identity-reader.pbtxt
new file mode 100644
index 00000000000..2eda320d636
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-identity-reader.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.IdentityReader"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.IdentityReader\'>"
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-indexed-slices.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-indexed-slices.pbtxt
new file mode 100644
index 00000000000..fee84d85307
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-indexed-slices.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.IndexedSlices"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.IndexedSlices\'>"
+ is_instance: "<class \'tensorflow.python.framework.ops._TensorLike\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dense_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "device"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "indices"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "values"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'values\', \'indices\', \'dense_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-interactive-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-interactive-session.pbtxt
new file mode 100644
index 00000000000..0a3b81bf829
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-interactive-session.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.InteractiveSession"
+tf_class {
+ is_instance: "<class \'tensorflow.python.client.session.InteractiveSession\'>"
+ is_instance: "<class \'tensorflow.python.client.session.BaseSession\'>"
+ is_instance: "<class \'tensorflow.python.client.session.SessionInterface\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "sess_str"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'target\', \'graph\', \'config\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "as_default"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "list_devices"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "make_callable"
+ argspec: "args=[\'self\', \'fetches\', \'feed_list\', \'accept_options\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
+ member_method {
+ name: "partial_run"
+ argspec: "args=[\'self\', \'handle\', \'fetches\', \'feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "partial_run_setup"
+ argspec: "args=[\'self\', \'fetches\', \'feeds\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-l-m-d-b-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-l-m-d-b-reader.pbtxt
new file mode 100644
index 00000000000..f9b7e9bbca8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-l-m-d-b-reader.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.LMDBReader"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.LMDBReader\'>"
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-log-message.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-log-message.pbtxt
new file mode 100644
index 00000000000..5023aa96bf3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-log-message.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.LogMessage"
+tf_proto {
+ descriptor {
+ name: "LogMessage"
+ field {
+ name: "level"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.LogMessage.Level"
+ }
+ field {
+ name: "message"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ enum_type {
+ name: "Level"
+ value {
+ name: "UNKNOWN"
+ number: 0
+ }
+ value {
+ name: "DEBUGGING"
+ number: 10
+ }
+ value {
+ name: "INFO"
+ number: 20
+ }
+ value {
+ name: "WARN"
+ number: 30
+ }
+ value {
+ name: "ERROR"
+ number: 40
+ }
+ value {
+ name: "FATAL"
+ number: 50
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt
new file mode 100644
index 00000000000..0ba09bec4b3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.MetaGraphDef.CollectionDefEntry"
+tf_proto {
+ descriptor {
+ name: "CollectionDefEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.CollectionDef"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-meta-info-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-meta-info-def.pbtxt
new file mode 100644
index 00000000000..41c62a407b8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-meta-info-def.pbtxt
@@ -0,0 +1,50 @@
+path: "tensorflow.MetaGraphDef.MetaInfoDef"
+tf_proto {
+ descriptor {
+ name: "MetaInfoDef"
+ field {
+ name: "meta_graph_version"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "stripped_op_list"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.OpList"
+ }
+ field {
+ name: "any_info"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".google.protobuf.Any"
+ }
+ field {
+ name: "tags"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ field {
+ name: "tensorflow_version"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tensorflow_git_version"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "stripped_default_attrs"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt
new file mode 100644
index 00000000000..73dc414a779
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.MetaGraphDef.SignatureDefEntry"
+tf_proto {
+ descriptor {
+ name: "SignatureDefEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SignatureDef"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.pbtxt
new file mode 100644
index 00000000000..d71c2358c93
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.pbtxt
@@ -0,0 +1,133 @@
+path: "tensorflow.MetaGraphDef"
+tf_proto {
+ descriptor {
+ name: "MetaGraphDef"
+ field {
+ name: "meta_info_def"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.MetaGraphDef.MetaInfoDef"
+ }
+ field {
+ name: "graph_def"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GraphDef"
+ }
+ field {
+ name: "saver_def"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SaverDef"
+ }
+ field {
+ name: "collection_def"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.MetaGraphDef.CollectionDefEntry"
+ }
+ field {
+ name: "signature_def"
+ number: 5
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.MetaGraphDef.SignatureDefEntry"
+ }
+ field {
+ name: "asset_file_def"
+ number: 6
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.AssetFileDef"
+ }
+ nested_type {
+ name: "MetaInfoDef"
+ field {
+ name: "meta_graph_version"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "stripped_op_list"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.OpList"
+ }
+ field {
+ name: "any_info"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".google.protobuf.Any"
+ }
+ field {
+ name: "tags"
+ number: 4
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ field {
+ name: "tensorflow_version"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tensorflow_git_version"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "stripped_default_attrs"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ }
+ nested_type {
+ name: "CollectionDefEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.CollectionDef"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ nested_type {
+ name: "SignatureDefEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SignatureDef"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.-attr-entry.pbtxt
new file mode 100644
index 00000000000..b119b208772
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.-attr-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.NameAttrList.AttrEntry"
+tf_proto {
+ descriptor {
+ name: "AttrEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.AttrValue"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.pbtxt
new file mode 100644
index 00000000000..fcdb411ffce
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.pbtxt
@@ -0,0 +1,38 @@
+path: "tensorflow.NameAttrList"
+tf_proto {
+ descriptor {
+ name: "NameAttrList"
+ field {
+ name: "name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "attr"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.NameAttrList.AttrEntry"
+ }
+ nested_type {
+ name: "AttrEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.AttrValue"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-node-def.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.-attr-entry.pbtxt
new file mode 100644
index 00000000000..622e4c3d0f6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.-attr-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.NodeDef.AttrEntry"
+tf_proto {
+ descriptor {
+ name: "AttrEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.AttrValue"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-node-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.pbtxt
new file mode 100644
index 00000000000..646fa8abb9b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.pbtxt
@@ -0,0 +1,56 @@
+path: "tensorflow.NodeDef"
+tf_proto {
+ descriptor {
+ name: "NodeDef"
+ field {
+ name: "name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "op"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "input"
+ number: 3
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ field {
+ name: "device"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "attr"
+ number: 5
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.NodeDef.AttrEntry"
+ }
+ nested_type {
+ name: "AttrEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.AttrValue"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-op-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-op-error.pbtxt
new file mode 100644
index 00000000000..7e59615534f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-op-error.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.OpError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-operation.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-operation.pbtxt
new file mode 100644
index 00000000000..64240f70698
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-operation.pbtxt
@@ -0,0 +1,69 @@
+path: "tensorflow.Operation"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.Operation\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "control_inputs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "device"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inputs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outputs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "traceback"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "traceback_with_start_lines"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "type"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'g\', \'inputs\', \'output_types\', \'control_inputs\', \'input_types\', \'original_op\', \'op_def\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "colocation_groups"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_attr"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "values"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-optimizer-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-optimizer-options.pbtxt
new file mode 100644
index 00000000000..3ccf9d459b1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-optimizer-options.pbtxt
@@ -0,0 +1,74 @@
+path: "tensorflow.OptimizerOptions"
+tf_proto {
+ descriptor {
+ name: "OptimizerOptions"
+ field {
+ name: "do_common_subexpression_elimination"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "do_constant_folding"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "max_folded_constant_in_bytes"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "do_function_inlining"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "opt_level"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.OptimizerOptions.Level"
+ }
+ field {
+ name: "global_jit_level"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.OptimizerOptions.GlobalJitLevel"
+ }
+ enum_type {
+ name: "Level"
+ value {
+ name: "L1"
+ number: 0
+ }
+ value {
+ name: "L0"
+ number: -1
+ }
+ }
+ enum_type {
+ name: "GlobalJitLevel"
+ value {
+ name: "DEFAULT"
+ number: 0
+ }
+ value {
+ name: "OFF"
+ number: -1
+ }
+ value {
+ name: "ON_1"
+ number: 1
+ }
+ value {
+ name: "ON_2"
+ number: 2
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-padding-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-padding-f-i-f-o-queue.pbtxt
new file mode 100644
index 00000000000..8fed1335615
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-padding-f-i-f-o-queue.pbtxt
@@ -0,0 +1,66 @@
+path: "tensorflow.PaddingFIFOQueue"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.PaddingFIFOQueue\'>"
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtypes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "names"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shapes"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'capacity\', \'dtypes\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'padding_fifo_queue\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "dequeue"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_many"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_up_to"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue_many"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "from_list"
+ argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_closed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-priority-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-priority-queue.pbtxt
new file mode 100644
index 00000000000..ebb017e81bc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-priority-queue.pbtxt
@@ -0,0 +1,66 @@
+path: "tensorflow.PriorityQueue"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.PriorityQueue\'>"
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtypes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "names"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shapes"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'capacity\', \'types\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'priority_queue\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "dequeue"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_many"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_up_to"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue_many"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "from_list"
+ argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_closed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-queue-base.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-queue-base.pbtxt
new file mode 100644
index 00000000000..761f90989f3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-queue-base.pbtxt
@@ -0,0 +1,65 @@
+path: "tensorflow.QueueBase"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtypes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "names"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shapes"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtypes\', \'shapes\', \'names\', \'queue_ref\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "dequeue"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_many"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_up_to"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue_many"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "from_list"
+ argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_closed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-random-shuffle-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-random-shuffle-queue.pbtxt
new file mode 100644
index 00000000000..f3ca8413931
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-random-shuffle-queue.pbtxt
@@ -0,0 +1,66 @@
+path: "tensorflow.RandomShuffleQueue"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.RandomShuffleQueue\'>"
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtypes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "names"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shapes"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'capacity\', \'min_after_dequeue\', \'dtypes\', \'shapes\', \'names\', \'seed\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'random_shuffle_queue\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "dequeue"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_many"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dequeue_up_to"
+ argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "enqueue_many"
+ argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "from_list"
+ argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_closed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-reader-base.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-reader-base.pbtxt
new file mode 100644
index 00000000000..f6a3ce76a15
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-reader-base.pbtxt
@@ -0,0 +1,45 @@
+path: "tensorflow.ReaderBase"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'reader_ref\', \'supports_serialize\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-register-gradient.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-register-gradient.pbtxt
new file mode 100644
index 00000000000..4d6e4137d12
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-register-gradient.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.RegisterGradient"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.RegisterGradient\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'op_type\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-run-metadata.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-run-metadata.pbtxt
new file mode 100644
index 00000000000..1287940326c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-run-metadata.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.RunMetadata"
+tf_proto {
+ descriptor {
+ name: "RunMetadata"
+ field {
+ name: "step_stats"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.StepStats"
+ }
+ field {
+ name: "cost_graph"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.CostGraphDef"
+ }
+ field {
+ name: "partition_graphs"
+ number: 3
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.GraphDef"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-run-options.-experimental.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.-experimental.pbtxt
new file mode 100644
index 00000000000..537e73aa896
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.-experimental.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.RunOptions.Experimental"
+tf_proto {
+ descriptor {
+ name: "Experimental"
+ field {
+ name: "collective_graph_key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-run-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.pbtxt
new file mode 100644
index 00000000000..cec04a2bf09
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.pbtxt
@@ -0,0 +1,83 @@
+path: "tensorflow.RunOptions"
+tf_proto {
+ descriptor {
+ name: "RunOptions"
+ field {
+ name: "trace_level"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.RunOptions.TraceLevel"
+ }
+ field {
+ name: "timeout_in_ms"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "inter_op_thread_pool"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "output_partition_graphs"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "debug_options"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.DebugOptions"
+ }
+ field {
+ name: "report_tensor_allocations_upon_oom"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "experimental"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.RunOptions.Experimental"
+ }
+ nested_type {
+ name: "Experimental"
+ field {
+ name: "collective_graph_key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ }
+ enum_type {
+ name: "TraceLevel"
+ value {
+ name: "NO_TRACE"
+ number: 0
+ }
+ value {
+ name: "SOFTWARE_TRACE"
+ number: 1
+ }
+ value {
+ name: "HARDWARE_TRACE"
+ number: 2
+ }
+ value {
+ name: "FULL_TRACE"
+ number: 3
+ }
+ }
+ reserved_range {
+ start: 4
+ end: 5
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-session-log.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-session-log.pbtxt
new file mode 100644
index 00000000000..259f2418740
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-session-log.pbtxt
@@ -0,0 +1,44 @@
+path: "tensorflow.SessionLog"
+tf_proto {
+ descriptor {
+ name: "SessionLog"
+ field {
+ name: "status"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.SessionLog.SessionStatus"
+ }
+ field {
+ name: "checkpoint_path"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "msg"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ enum_type {
+ name: "SessionStatus"
+ value {
+ name: "STATUS_UNSPECIFIED"
+ number: 0
+ }
+ value {
+ name: "START"
+ number: 1
+ }
+ value {
+ name: "STOP"
+ number: 2
+ }
+ value {
+ name: "CHECKPOINT"
+ number: 3
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-session.pbtxt
new file mode 100644
index 00000000000..1d6b037f9c3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-session.pbtxt
@@ -0,0 +1,55 @@
+path: "tensorflow.Session"
+tf_class {
+ is_instance: "<class \'tensorflow.python.client.session.Session\'>"
+ is_instance: "<class \'tensorflow.python.client.session.BaseSession\'>"
+ is_instance: "<class \'tensorflow.python.client.session.SessionInterface\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "sess_str"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'target\', \'graph\', \'config\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "as_default"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "list_devices"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "make_callable"
+ argspec: "args=[\'self\', \'fetches\', \'feed_list\', \'accept_options\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
+ member_method {
+ name: "partial_run"
+ argspec: "args=[\'self\', \'handle\', \'fetches\', \'feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "partial_run_setup"
+ argspec: "args=[\'self\', \'fetches\', \'feeds\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'target\', \'containers\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-conditional-accumulator.pbtxt
new file mode 100644
index 00000000000..2260279ad2b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-conditional-accumulator.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.SparseConditionalAccumulator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.SparseConditionalAccumulator\'>"
+ is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "accumulator_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'sparse_conditional_accumulator\'], "
+ }
+ member_method {
+ name: "apply_grad"
+ argspec: "args=[\'self\', \'grad_indices\', \'grad_values\', \'grad_shape\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "apply_indexed_slices_grad"
+ argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
+ }
+ member_method {
+ name: "num_accumulated"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_global_step"
+ argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "take_grad"
+ argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "take_indexed_slices_grad"
+ argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-feature.pbtxt
new file mode 100644
index 00000000000..d875394fb5d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-feature.pbtxt
@@ -0,0 +1,35 @@
+path: "tensorflow.SparseFeature"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.SparseFeature\'>"
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.SparseFeature\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "already_sorted"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "index_key"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "size"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "value_key"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor-value.pbtxt
new file mode 100644
index 00000000000..d33fd4d5d7b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor-value.pbtxt
@@ -0,0 +1,26 @@
+path: "tensorflow.SparseTensorValue"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensorValue\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "dense_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "indices"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "values"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor.pbtxt
new file mode 100644
index 00000000000..eac236d4982
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.SparseTensor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensor\'>"
+ is_instance: "<class \'tensorflow.python.framework.ops._TensorLike\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dense_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "indices"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "values"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'indices\', \'values\', \'dense_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "eval"
+ argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "from_value"
+ argspec: "args=[\'cls\', \'sparse_tensor_value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_shape"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.-plugin-data.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.-plugin-data.pbtxt
new file mode 100644
index 00000000000..a66b74b315c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.-plugin-data.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.SummaryMetadata.PluginData"
+tf_proto {
+ descriptor {
+ name: "PluginData"
+ field {
+ name: "plugin_name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "content"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.pbtxt
new file mode 100644
index 00000000000..c02575b9626
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.pbtxt
@@ -0,0 +1,40 @@
+path: "tensorflow.SummaryMetadata"
+tf_proto {
+ descriptor {
+ name: "SummaryMetadata"
+ field {
+ name: "plugin_data"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SummaryMetadata.PluginData"
+ }
+ field {
+ name: "display_name"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "summary_description"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ nested_type {
+ name: "PluginData"
+ field {
+ name: "plugin_name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "content"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.-audio.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-audio.pbtxt
new file mode 100644
index 00000000000..94f712073e0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-audio.pbtxt
@@ -0,0 +1,36 @@
+path: "tensorflow.Summary.Audio"
+tf_proto {
+ descriptor {
+ name: "Audio"
+ field {
+ name: "sample_rate"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ }
+ field {
+ name: "num_channels"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "length_frames"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "encoded_audio_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ field {
+ name: "content_type"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.-image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-image.pbtxt
new file mode 100644
index 00000000000..fc1acb483b3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-image.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.Summary.Image"
+tf_proto {
+ descriptor {
+ name: "Image"
+ field {
+ name: "height"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "width"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "colorspace"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "encoded_image_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-value.pbtxt
new file mode 100644
index 00000000000..feb84b6ee99
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-value.pbtxt
@@ -0,0 +1,74 @@
+path: "tensorflow.Summary.Value"
+tf_proto {
+ descriptor {
+ name: "Value"
+ field {
+ name: "node_name"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tag"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "metadata"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SummaryMetadata"
+ }
+ field {
+ name: "simple_value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ oneof_index: 0
+ }
+ field {
+ name: "obsolete_old_style_histogram"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "image"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Image"
+ oneof_index: 0
+ }
+ field {
+ name: "histo"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.HistogramProto"
+ oneof_index: 0
+ }
+ field {
+ name: "audio"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Audio"
+ oneof_index: 0
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "value"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.pbtxt
new file mode 100644
index 00000000000..b2bdff71718
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.pbtxt
@@ -0,0 +1,144 @@
+path: "tensorflow.Summary"
+tf_proto {
+ descriptor {
+ name: "Summary"
+ field {
+ name: "value"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Value"
+ }
+ nested_type {
+ name: "Image"
+ field {
+ name: "height"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "width"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "colorspace"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "encoded_image_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+ nested_type {
+ name: "Audio"
+ field {
+ name: "sample_rate"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ }
+ field {
+ name: "num_channels"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "length_frames"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "encoded_audio_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ field {
+ name: "content_type"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+ nested_type {
+ name: "Value"
+ field {
+ name: "node_name"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tag"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "metadata"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SummaryMetadata"
+ }
+ field {
+ name: "simple_value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ oneof_index: 0
+ }
+ field {
+ name: "obsolete_old_style_histogram"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "image"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Image"
+ oneof_index: 0
+ }
+ field {
+ name: "histo"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.HistogramProto"
+ oneof_index: 0
+ }
+ field {
+ name: "audio"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Audio"
+ oneof_index: 0
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "value"
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-t-f-record-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-t-f-record-reader.pbtxt
new file mode 100644
index 00000000000..cdf79373919
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-t-f-record-reader.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.TFRecordReader"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.TFRecordReader\'>"
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-array.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-array.pbtxt
new file mode 100644
index 00000000000..ed088c41ed3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-array.pbtxt
@@ -0,0 +1,69 @@
+path: "tensorflow.TensorArray"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.tensor_array_ops.TensorArray\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "flow"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "handle"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'size\', \'dynamic_size\', \'clear_after_read\', \'tensor_array_name\', \'handle\', \'flow\', \'infer_shape\', \'element_shape\', \'colocate_with_first_write_call\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "concat"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "gather"
+ argspec: "args=[\'self\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "grad"
+ argspec: "args=[\'self\', \'source\', \'flow\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "identity"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'index\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "scatter"
+ argspec: "args=[\'self\', \'indices\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "split"
+ argspec: "args=[\'self\', \'value\', \'lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "stack"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "unstack"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "write"
+ argspec: "args=[\'self\', \'index\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.-coo-sparse.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.-coo-sparse.pbtxt
new file mode 100644
index 00000000000..0064c8460cb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.-coo-sparse.pbtxt
@@ -0,0 +1,24 @@
+path: "tensorflow.TensorInfo.CooSparse"
+tf_proto {
+ descriptor {
+ name: "CooSparse"
+ field {
+ name: "values_tensor_name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "indices_tensor_name"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "dense_shape_tensor_name"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.pbtxt
new file mode 100644
index 00000000000..63566c808e5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.pbtxt
@@ -0,0 +1,59 @@
+path: "tensorflow.TensorInfo"
+tf_proto {
+ descriptor {
+ name: "TensorInfo"
+ field {
+ name: "name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ oneof_index: 0
+ }
+ field {
+ name: "coo_sparse"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorInfo.CooSparse"
+ oneof_index: 0
+ }
+ field {
+ name: "dtype"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.DataType"
+ }
+ field {
+ name: "tensor_shape"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ }
+ nested_type {
+ name: "CooSparse"
+ field {
+ name: "values_tensor_name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "indices_tensor_name"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "dense_shape_tensor_name"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+ oneof_decl {
+ name: "encoding"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-shape.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-shape.pbtxt
new file mode 100644
index 00000000000..8e3598fb247
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-shape.pbtxt
@@ -0,0 +1,77 @@
+path: "tensorflow.TensorShape"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.tensor_shape.TensorShape\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dims"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ndims"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dims\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_list"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_proto"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "assert_has_rank"
+ argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "assert_is_compatible_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "assert_is_fully_defined"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "assert_same_rank"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "concatenate"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_compatible_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_fully_defined"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "merge_with"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "most_specific_compatible_shape"
+ argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "num_elements"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_rank"
+ argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_rank_at_least"
+ argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_rank_at_most"
+ argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor.pbtxt
new file mode 100644
index 00000000000..38d19bb5374
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.Tensor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.Tensor\'>"
+ is_instance: "<class \'tensorflow.python.framework.ops._TensorLike\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "OVERLOADABLE_OPERATORS"
+ mtype: "<type \'set\'>"
+ }
+ member {
+ name: "device"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "value_index"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'op\', \'value_index\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "consumers"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "eval"
+ argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_shape"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_shape"
+ argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-text-line-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-text-line-reader.pbtxt
new file mode 100644
index 00000000000..e9779f07620
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-text-line-reader.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.TextLineReader"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.TextLineReader\'>"
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'skip_header_lines\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-var-len-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-var-len-feature.pbtxt
new file mode 100644
index 00000000000..54b66f43f8e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-var-len-feature.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.VarLenFeature"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.VarLenFeature\'>"
+ is_instance: "<class \'tensorflow.python.ops.parsing_ops.VarLenFeature\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable-aggregation.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable-aggregation.pbtxt
new file mode 100644
index 00000000000..36b534af360
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable-aggregation.pbtxt
@@ -0,0 +1,16 @@
+path: "tensorflow.VariableAggregation"
+tf_class {
+ is_instance: "<enum \'VariableAggregation\'>"
+ member {
+ name: "MEAN"
+ mtype: "<enum \'VariableAggregation\'>"
+ }
+ member {
+ name: "NONE"
+ mtype: "<enum \'VariableAggregation\'>"
+ }
+ member {
+ name: "SUM"
+ mtype: "<enum \'VariableAggregation\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable-scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable-scope.pbtxt
new file mode 100644
index 00000000000..c13eb7b8bb9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable-scope.pbtxt
@@ -0,0 +1,105 @@
+path: "tensorflow.VariableScope"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.variable_scope.VariableScope\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "caching_device"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "custom_getter"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "original_name_scope"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "partitioner"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reuse"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "use_resource"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'reuse\', \'name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'name_scope\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\', \'None\', \'None\', \'None\', \'\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_collection"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable"
+ argspec: "args=[\'self\', \'var_store\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'reuse\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
+ }
+ member_method {
+ name: "global_variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "local_variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reuse_variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_caching_device"
+ argspec: "args=[\'self\', \'caching_device\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_custom_getter"
+ argspec: "args=[\'self\', \'custom_getter\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_dtype"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_initializer"
+ argspec: "args=[\'self\', \'initializer\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_partitioner"
+ argspec: "args=[\'self\', \'partitioner\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_regularizer"
+ argspec: "args=[\'self\', \'regularizer\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_use_resource"
+ argspec: "args=[\'self\', \'use_resource\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "trainable_variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt
new file mode 100644
index 00000000000..7589bb28888
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt
@@ -0,0 +1,20 @@
+path: "tensorflow.VariableSynchronization"
+tf_class {
+ is_instance: "<enum \'VariableSynchronization\'>"
+ member {
+ name: "AUTO"
+ mtype: "<enum \'VariableSynchronization\'>"
+ }
+ member {
+ name: "NONE"
+ mtype: "<enum \'VariableSynchronization\'>"
+ }
+ member {
+ name: "ON_READ"
+ mtype: "<enum \'VariableSynchronization\'>"
+ }
+ member {
+ name: "ON_WRITE"
+ mtype: "<enum \'VariableSynchronization\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable.-save-slice-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable.-save-slice-info.pbtxt
new file mode 100644
index 00000000000..ac3ccd468b2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable.-save-slice-info.pbtxt
@@ -0,0 +1,17 @@
+path: "tensorflow.Variable.SaveSliceInfo"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.variables.SaveSliceInfo\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "spec"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'full_name\', \'full_shape\', \'var_offset\', \'var_shape\', \'save_slice_info_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "to_proto"
+ argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable.pbtxt
new file mode 100644
index 00000000000..e841c4ad890
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable.pbtxt
@@ -0,0 +1,110 @@
+path: "tensorflow.Variable"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.variables.Variable\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "SaveSliceInfo"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "device"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "initial_value"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'initial_value\', \'trainable\', \'collections\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'expected_shape\', \'import_scope\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
+ }
+ member_method {
+ name: "assign"
+ argspec: "args=[\'self\', \'value\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "assign_add"
+ argspec: "args=[\'self\', \'delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "assign_sub"
+ argspec: "args=[\'self\', \'delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "count_up_to"
+ argspec: "args=[\'self\', \'limit\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "eval"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "from_proto"
+ argspec: "args=[\'variable_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_shape"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "initialized_value"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "load"
+ argspec: "args=[\'self\', \'value\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_value"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "scatter_sub"
+ argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "set_shape"
+ argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "to_proto"
+ argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "value"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-whole-file-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-whole-file-reader.pbtxt
new file mode 100644
index 00000000000..4ac759891c6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.-whole-file-reader.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.WholeFileReader"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.io_ops.WholeFileReader\'>"
+ is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "reader_ref"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "supports_serialize"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_records_produced"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "num_work_units_completed"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_up_to"
+ argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "restore_state"
+ argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize_state"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.app.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.app.pbtxt
new file mode 100644
index 00000000000..85044a89879
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.app.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.app"
+tf_module {
+ member {
+ name: "flags"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'main\', \'argv\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt
new file mode 100644
index 00000000000..01cbd55c5d2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.bitwise"
+tf_module {
+ member_method {
+ name: "bitwise_and"
+ argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "bitwise_or"
+ argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "bitwise_xor"
+ argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "invert"
+ argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "left_shift"
+ argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "right_shift"
+ argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt
new file mode 100644
index 00000000000..f1d760603e9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt
@@ -0,0 +1,47 @@
+path: "tensorflow.compat"
+tf_module {
+ member {
+ name: "bytes_or_text_types"
+ mtype: "<type \'tuple\'>"
+ }
+ member {
+ name: "complex_types"
+ mtype: "<type \'tuple\'>"
+ }
+ member {
+ name: "integral_types"
+ mtype: "<type \'tuple\'>"
+ }
+ member {
+ name: "real_types"
+ mtype: "<type \'tuple\'>"
+ }
+ member_method {
+ name: "as_bytes"
+ argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
+ }
+ member_method {
+ name: "as_str"
+ argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
+ }
+ member_method {
+ name: "as_str_any"
+ argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_text"
+ argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
+ }
+ member_method {
+ name: "forward_compatibility_horizon"
+ argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "forward_compatible"
+ argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "path_to_str"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.constant_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.constant_initializer.pbtxt
new file mode 100644
index 00000000000..00ec669b168
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.constant_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.constant_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.__metaclass__.pbtxt
new file mode 100644
index 00000000000..af08c88d333
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.data.Dataset.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.pbtxt
new file mode 100644
index 00000000000..834f0954d5b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.pbtxt
@@ -0,0 +1,117 @@
+path: "tensorflow.data.Dataset"
+tf_class {
+ is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "output_classes"
+ mtype: "<class \'abc.abstractproperty\'>"
+ }
+ member {
+ name: "output_shapes"
+ mtype: "<class \'abc.abstractproperty\'>"
+ }
+ member {
+ name: "output_types"
+ mtype: "<class \'abc.abstractproperty\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "batch"
+ argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "cache"
+ argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], "
+ }
+ member_method {
+ name: "concatenate"
+ argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "filter"
+ argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ }
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+ name: "from_generator"
+ argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
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+ }
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+ argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], "
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+ }
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+ name: "prefetch"
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+ }
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+ }
+ member_method {
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+ argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "skip"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ }
+ member_method {
+ name: "zip"
+ argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt
new file mode 100644
index 00000000000..f384323fc89
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.data.FixedLengthRecordDataset.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.pbtxt
new file mode 100644
index 00000000000..4d854a4ceea
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.pbtxt
@@ -0,0 +1,118 @@
+path: "tensorflow.data.FixedLengthRecordDataset"
+tf_class {
+ is_instance: "<class \'tensorflow.python.data.ops.readers.FixedLengthRecordDataset\'>"
+ is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "output_classes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shapes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filenames\', \'record_bytes\', \'header_bytes\', \'footer_bytes\', \'buffer_size\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "batch"
+ argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "cache"
+ argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], "
+ }
+ member_method {
+ name: "concatenate"
+ argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "filter"
+ argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flat_map"
+ argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_generator"
+ argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "from_sparse_tensor_slices"
+ argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_tensor_slices"
+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_tensors"
+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "interleave"
+ argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], "
+ }
+ member_method {
+ name: "list_files"
+ argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "make_initializable_iterator"
+ argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "make_one_shot_iterator"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "map"
+ argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "padded_batch"
+ argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
+ member_method {
+ name: "prefetch"
+ argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "range"
+ argspec: "args=[], varargs=args, keywords=None, defaults=None"
+ }
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+ name: "repeat"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "shard"
+ argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "shuffle"
+ argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ name: "skip"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "take"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "zip"
+ argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-iterator.pbtxt
new file mode 100644
index 00000000000..1f9aeb6ad62
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-iterator.pbtxt
@@ -0,0 +1,45 @@
+path: "tensorflow.data.Iterator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_classes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shapes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'iterator_resource\', \'initializer\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_string_handle"
+ argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "from_structure"
+ argspec: "args=[\'output_types\', \'output_shapes\', \'shared_name\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_next"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "make_initializer"
+ argspec: "args=[\'self\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "string_handle"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt
new file mode 100644
index 00000000000..b12dec8a70b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.data.TFRecordDataset.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.pbtxt
new file mode 100644
index 00000000000..601f095a60a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.pbtxt
@@ -0,0 +1,118 @@
+path: "tensorflow.data.TFRecordDataset"
+tf_class {
+ is_instance: "<class \'tensorflow.python.data.ops.readers.TFRecordDataset\'>"
+ is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "output_classes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shapes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filenames\', \'compression_type\', \'buffer_size\', \'num_parallel_reads\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "batch"
+ argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
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+ name: "cache"
+ argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], "
+ }
+ member_method {
+ name: "concatenate"
+ argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "filter"
+ argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "flat_map"
+ argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_generator"
+ argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ name: "from_sparse_tensor_slices"
+ argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_tensor_slices"
+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_tensors"
+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "interleave"
+ argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], "
+ }
+ member_method {
+ name: "list_files"
+ argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "make_initializable_iterator"
+ argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "make_one_shot_iterator"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "map"
+ argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "padded_batch"
+ argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
+ member_method {
+ name: "prefetch"
+ argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "range"
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+ }
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+ name: "repeat"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "shard"
+ argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ name: "skip"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ name: "zip"
+ argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt
new file mode 100644
index 00000000000..7ddcdce2663
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.data.TextLineDataset.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.pbtxt
new file mode 100644
index 00000000000..587829a4c07
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.pbtxt
@@ -0,0 +1,118 @@
+path: "tensorflow.data.TextLineDataset"
+tf_class {
+ is_instance: "<class \'tensorflow.python.data.ops.readers.TextLineDataset\'>"
+ is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>"
+ is_instance: "<type \'object\'>"
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+ name: "output_classes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shapes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filenames\', \'compression_type\', \'buffer_size\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "batch"
+ argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "cache"
+ argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], "
+ }
+ member_method {
+ name: "concatenate"
+ argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "filter"
+ argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "flat_map"
+ argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_generator"
+ argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ name: "from_sparse_tensor_slices"
+ argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None"
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+ name: "from_tensor_slices"
+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_tensors"
+ argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "interleave"
+ argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], "
+ }
+ member_method {
+ name: "list_files"
+ argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
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+ name: "make_initializable_iterator"
+ argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "make_one_shot_iterator"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "map"
+ argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "padded_batch"
+ argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
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+ name: "prefetch"
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+ }
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+ name: "range"
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+ }
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+ name: "repeat"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "shard"
+ argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "shuffle"
+ argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "skip"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "take"
+ argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "zip"
+ argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.pbtxt
new file mode 100644
index 00000000000..56fb270a499
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.data.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.data"
+tf_module {
+ member {
+ name: "Dataset"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "FixedLengthRecordDataset"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "Iterator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TFRecordDataset"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "TextLineDataset"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.debugging.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.debugging.pbtxt
new file mode 100644
index 00000000000..d9efe978219
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.debugging.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.debugging"
+tf_module {
+ member_method {
+ name: "check_numerics"
+ argspec: "args=[\'tensor\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "is_finite"
+ argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "is_inf"
+ argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "is_nan"
+ argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt
new file mode 100644
index 00000000000..ca96f4eaece
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt
@@ -0,0 +1,143 @@
+path: "tensorflow.distributions.Bernoulli"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.bernoulli.Bernoulli\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "logits"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "probs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'logits\', \'probs\', \'dtype\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int32\'>\", \'False\', \'True\', \'Bernoulli\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
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+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
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+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
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+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
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+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
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+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
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+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
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+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
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+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
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+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
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+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
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+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
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+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
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+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt
new file mode 100644
index 00000000000..d0508acd9f4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.distributions.Beta"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.beta.Beta\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "concentration0"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "concentration1"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "total_concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'concentration1\', \'concentration0\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'True\', \'Beta\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt
new file mode 100644
index 00000000000..ff0fbb56cd4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.distributions.Categorical"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.categorical.Categorical\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_size"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "logits"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "probs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'logits\', \'probs\', \'dtype\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int32\'>\", \'False\', \'True\', \'Categorical\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
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+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt
new file mode 100644
index 00000000000..d75e4a2f88b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.distributions.DirichletMultinomial"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet_multinomial.DirichletMultinomial\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "total_concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "total_count"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'total_count\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'DirichletMultinomial\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
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+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
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+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
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+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
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+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
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+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
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+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt
new file mode 100644
index 00000000000..b838b9ae21d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt
@@ -0,0 +1,143 @@
+path: "tensorflow.distributions.Dirichlet"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet.Dirichlet\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "total_concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Dirichlet\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt
new file mode 100644
index 00000000000..6f06b7d50dd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt
@@ -0,0 +1,134 @@
+path: "tensorflow.distributions.Distribution"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'reparameterization_type\', \'validate_args\', \'allow_nan_stats\', \'parameters\', \'graph_parents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt
new file mode 100644
index 00000000000..d34f9cde5d4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt
@@ -0,0 +1,144 @@
+path: "tensorflow.distributions.Exponential"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.exponential.Exponential\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "rate"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Exponential\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt
new file mode 100644
index 00000000000..df268b8d99e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt
@@ -0,0 +1,143 @@
+path: "tensorflow.distributions.Gamma"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "concentration"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "rate"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'concentration\', \'rate\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Gamma\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt
new file mode 100644
index 00000000000..303dcb4ed3b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt
@@ -0,0 +1,143 @@
+path: "tensorflow.distributions.Laplace"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.laplace.Laplace\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "loc"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scale"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Laplace\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
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+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
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+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
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+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
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+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt
new file mode 100644
index 00000000000..ecda8acb15c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.distributions.Multinomial"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.multinomial.Multinomial\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "logits"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "probs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "total_count"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'total_count\', \'logits\', \'probs\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'True\', \'Multinomial\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt
new file mode 100644
index 00000000000..92b9eeea223
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt
@@ -0,0 +1,143 @@
+path: "tensorflow.distributions.Normal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.normal.Normal\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "loc"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scale"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Normal\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt
new file mode 100644
index 00000000000..e3db443c2bd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.distributions.RegisterKL"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.kullback_leibler.RegisterKL\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dist_cls_a\', \'dist_cls_b\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt
new file mode 100644
index 00000000000..02e8d576ddd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.distributions.ReparameterizationType"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'rep_type\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt
new file mode 100644
index 00000000000..9aa7f9a6346
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.distributions.StudentT"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.student_t.StudentT\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "df"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "loc"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scale"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'df\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'StudentT\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
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+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
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+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
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+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
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+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
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+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
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+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt
new file mode 100644
index 00000000000..d1b9d306962
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.distributions.Uniform"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.distributions.uniform.Uniform\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
+ is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "allow_nan_stats"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "event_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "high"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "low"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "parameters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reparameterization_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "validate_args"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'low\', \'high\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'False\', \'True\', \'Uniform\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
+ }
+ member_method {
+ name: "copy"
+ argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
+ }
+ member_method {
+ name: "covariance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
+ }
+ member_method {
+ name: "cross_entropy"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
+ }
+ member_method {
+ name: "entropy"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
+ }
+ member_method {
+ name: "event_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
+ }
+ member_method {
+ name: "is_scalar_batch"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
+ }
+ member_method {
+ name: "is_scalar_event"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
+ }
+ member_method {
+ name: "log_cdf"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
+ }
+ member_method {
+ name: "log_prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
+ }
+ member_method {
+ name: "log_survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
+ }
+ member_method {
+ name: "mode"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
+ }
+ member_method {
+ name: "param_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
+ }
+ member_method {
+ name: "param_static_shapes"
+ argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "prob"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
+ }
+ member_method {
+ name: "quantile"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
+ }
+ member_method {
+ name: "range"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range\'], "
+ }
+ member_method {
+ name: "sample"
+ argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
+ }
+ member_method {
+ name: "stddev"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
+ }
+ member_method {
+ name: "survival_function"
+ argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
+ }
+ member_method {
+ name: "variance"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt
new file mode 100644
index 00000000000..90b60ef074d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt
@@ -0,0 +1,75 @@
+path: "tensorflow.distributions"
+tf_module {
+ member {
+ name: "Bernoulli"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Beta"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Categorical"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Dirichlet"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "DirichletMultinomial"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Distribution"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Exponential"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "FULLY_REPARAMETERIZED"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
+ }
+ member {
+ name: "Gamma"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Laplace"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Multinomial"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "NOT_REPARAMETERIZED"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
+ }
+ member {
+ name: "Normal"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "RegisterKL"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ReparameterizationType"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "StudentT"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member {
+ name: "Uniform"
+ mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
+ }
+ member_method {
+ name: "kl_divergence"
+ argspec: "args=[\'distribution_a\', \'distribution_b\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.dtypes.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.dtypes.pbtxt
new file mode 100644
index 00000000000..98e1feed002
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.dtypes.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.dtypes"
+tf_module {
+ member_method {
+ name: "as_string"
+ argspec: "args=[\'input\', \'precision\', \'scientific\', \'shortest\', \'width\', \'fill\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'False\', \'False\', \'-1\', \'\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-aborted-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-aborted-error.pbtxt
new file mode 100644
index 00000000000..ea9186b0b9d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-aborted-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.AbortedError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.AbortedError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-already-exists-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-already-exists-error.pbtxt
new file mode 100644
index 00000000000..4e155081dd2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-already-exists-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.AlreadyExistsError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.AlreadyExistsError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-cancelled-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-cancelled-error.pbtxt
new file mode 100644
index 00000000000..b02a0e023aa
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-cancelled-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.CancelledError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.CancelledError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-data-loss-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-data-loss-error.pbtxt
new file mode 100644
index 00000000000..c1fa66342a7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-data-loss-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.DataLossError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.DataLossError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-deadline-exceeded-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-deadline-exceeded-error.pbtxt
new file mode 100644
index 00000000000..8e037936191
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-deadline-exceeded-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.DeadlineExceededError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.DeadlineExceededError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-failed-precondition-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-failed-precondition-error.pbtxt
new file mode 100644
index 00000000000..384d4b534c6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-failed-precondition-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.FailedPreconditionError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.FailedPreconditionError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-internal-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-internal-error.pbtxt
new file mode 100644
index 00000000000..ac5c4d7879b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-internal-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.InternalError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.InternalError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-invalid-argument-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-invalid-argument-error.pbtxt
new file mode 100644
index 00000000000..161edd4a7c5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-invalid-argument-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.InvalidArgumentError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.InvalidArgumentError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-not-found-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-not-found-error.pbtxt
new file mode 100644
index 00000000000..1e64730ac6d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-not-found-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.NotFoundError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.NotFoundError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-op-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-op-error.pbtxt
new file mode 100644
index 00000000000..b1f14c0457d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-op-error.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.errors.OpError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-out-of-range-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-out-of-range-error.pbtxt
new file mode 100644
index 00000000000..6365e472868
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-out-of-range-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.OutOfRangeError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OutOfRangeError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-permission-denied-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-permission-denied-error.pbtxt
new file mode 100644
index 00000000000..dc8a66f9ead
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-permission-denied-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.PermissionDeniedError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.PermissionDeniedError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-resource-exhausted-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-resource-exhausted-error.pbtxt
new file mode 100644
index 00000000000..85bb384b469
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-resource-exhausted-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.ResourceExhaustedError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.ResourceExhaustedError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unauthenticated-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unauthenticated-error.pbtxt
new file mode 100644
index 00000000000..d57d7ac2f20
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unauthenticated-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.UnauthenticatedError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.UnauthenticatedError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unavailable-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unavailable-error.pbtxt
new file mode 100644
index 00000000000..cc33e6ed8d1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unavailable-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.UnavailableError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.UnavailableError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unimplemented-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unimplemented-error.pbtxt
new file mode 100644
index 00000000000..b8c2e22dbd7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unimplemented-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.UnimplementedError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.UnimplementedError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unknown-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unknown-error.pbtxt
new file mode 100644
index 00000000000..8ffcfae95b8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unknown-error.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.errors.UnknownError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.UnknownError\'>"
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+ is_instance: "<type \'exceptions.Exception\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "error_code"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "node_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=None, keywords=None, defaults=[\'2\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.pbtxt
new file mode 100644
index 00000000000..c5fe49baab7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.pbtxt
@@ -0,0 +1,151 @@
+path: "tensorflow.errors"
+tf_module {
+ member {
+ name: "ABORTED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "ALREADY_EXISTS"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "AbortedError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "AlreadyExistsError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "CANCELLED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "CancelledError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "DATA_LOSS"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "DEADLINE_EXCEEDED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "DataLossError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "DeadlineExceededError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "FAILED_PRECONDITION"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "FailedPreconditionError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "INTERNAL"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "INVALID_ARGUMENT"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "InternalError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "InvalidArgumentError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "NOT_FOUND"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "NotFoundError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "OK"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "OUT_OF_RANGE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "OpError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "OutOfRangeError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "PERMISSION_DENIED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "PermissionDeniedError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RESOURCE_EXHAUSTED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "ResourceExhaustedError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "UNAUTHENTICATED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "UNAVAILABLE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "UNIMPLEMENTED"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "UNKNOWN"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "UnauthenticatedError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "UnavailableError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "UnimplementedError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "UnknownError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "raise_exception_on_not_ok_status"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "error_code_from_exception_type"
+ argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "exception_type_from_error_code"
+ argspec: "args=[\'error_code\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt
new file mode 100644
index 00000000000..5d25ec769ad
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt
@@ -0,0 +1,8 @@
+path: "tensorflow.errors.raise_exception_on_not_ok_status"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.errors_impl.raise_exception_on_not_ok_status\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-classifier.pbtxt
new file mode 100644
index 00000000000..cf22e39d4c8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-classifier.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.BaselineClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.baseline.BaselineClassifier\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'weighted_sum\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-regressor.pbtxt
new file mode 100644
index 00000000000..a363bceae3b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-regressor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.BaselineRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.baseline.BaselineRegressor\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'weighted_sum\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-best-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-best-exporter.pbtxt
new file mode 100644
index 00000000000..9694268199a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-best-exporter.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.estimator.BestExporter"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.exporter.BestExporter\'>"
+ is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'serving_input_receiver_fn\', \'event_file_pattern\', \'compare_fn\', \'assets_extra\', \'as_text\', \'exports_to_keep\'], varargs=None, keywords=None, defaults=[\'best_exporter\', \'None\', \'eval/*.tfevents.*\', \'<function _loss_smaller instance>\', \'None\', \'False\', \'5\'], "
+ }
+ member_method {
+ name: "export"
+ argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt
new file mode 100644
index 00000000000..9dbb5d16a4e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.BoostedTreesClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesClassifier\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt
new file mode 100644
index 00000000000..34a30c2874b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.BoostedTreesRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesRegressor\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-classifier.pbtxt
new file mode 100644
index 00000000000..0c6b7e4a821
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-classifier.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.DNNClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.dnn.DNNClassifier\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt
new file mode 100644
index 00000000000..9c1c0721240
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.DNNLinearCombinedClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.dnn_linear_combined.DNNLinearCombinedClassifier\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\', \'linear_sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'2\', \'None\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\', \'sum\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
new file mode 100644
index 00000000000..7391d4b07a7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.DNNLinearCombinedRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.dnn_linear_combined.DNNLinearCombinedRegressor\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'label_dimension\', \'weight_column\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\', \'linear_sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'1\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\', \'sum\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-regressor.pbtxt
new file mode 100644
index 00000000000..f50e375f7cd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-regressor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.DNNRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.dnn.DNNRegressor\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator-spec.pbtxt
new file mode 100644
index 00000000000..aa6ac46613f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator-spec.pbtxt
@@ -0,0 +1,59 @@
+path: "tensorflow.estimator.EstimatorSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.model_fn.EstimatorSpec\'>"
+ is_instance: "<class \'tensorflow.python.estimator.model_fn.EstimatorSpec\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "eval_metric_ops"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "evaluation_hooks"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "export_outputs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "loss"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "mode"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "prediction_hooks"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "predictions"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scaffold"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "train_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "training_chief_hooks"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "training_hooks"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator.pbtxt
new file mode 100644
index 00000000000..d72b5769778
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator.pbtxt
@@ -0,0 +1,57 @@
+path: "tensorflow.estimator.Estimator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_fn\', \'model_dir\', \'config\', \'params\', \'warm_start_from\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-eval-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-eval-spec.pbtxt
new file mode 100644
index 00000000000..db83ba1bd8f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-eval-spec.pbtxt
@@ -0,0 +1,43 @@
+path: "tensorflow.estimator.EvalSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.training.EvalSpec\'>"
+ is_instance: "<class \'tensorflow.python.estimator.training.EvalSpec\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "exporters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "hooks"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "start_delay_secs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "throttle_secs"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-exporter.pbtxt
new file mode 100644
index 00000000000..035af70e520
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-exporter.pbtxt
@@ -0,0 +1,16 @@
+path: "tensorflow.estimator.Exporter"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<class \'abc.abstractproperty\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "export"
+ argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-final-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-final-exporter.pbtxt
new file mode 100644
index 00000000000..ee37b1fa210
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-final-exporter.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.estimator.FinalExporter"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.exporter.FinalExporter\'>"
+ is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+ }
+ member_method {
+ name: "export"
+ argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-latest-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-latest-exporter.pbtxt
new file mode 100644
index 00000000000..2a9d0290295
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-latest-exporter.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.estimator.LatestExporter"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.exporter.LatestExporter\'>"
+ is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'exports_to_keep\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'5\'], "
+ }
+ member_method {
+ name: "export"
+ argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-classifier.pbtxt
new file mode 100644
index 00000000000..154f171e895
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-classifier.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.LinearClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.linear.LinearClassifier\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-regressor.pbtxt
new file mode 100644
index 00000000000..4d46d1e6b68
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-regressor.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.estimator.LinearRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.canned.linear.LinearRegressor\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "params"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], "
+ }
+ member_method {
+ name: "eval_dir"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "export_savedmodel"
+ argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "get_variable_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_variable_value"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "train"
+ argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-mode-keys.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-mode-keys.pbtxt
new file mode 100644
index 00000000000..6a1c24fa63f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-mode-keys.pbtxt
@@ -0,0 +1,20 @@
+path: "tensorflow.estimator.ModeKeys"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.model_fn.ModeKeys\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "EVAL"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "PREDICT"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TRAIN"
+ mtype: "<type \'str\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-run-config.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-run-config.pbtxt
new file mode 100644
index 00000000000..5aa4b3d4fb2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-run-config.pbtxt
@@ -0,0 +1,101 @@
+path: "tensorflow.estimator.RunConfig"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.run_config.RunConfig\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "cluster_spec"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "device_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "evaluation_master"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "global_id_in_cluster"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_chief"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "keep_checkpoint_every_n_hours"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "keep_checkpoint_max"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "log_step_count_steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "master"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "model_dir"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "num_ps_replicas"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "num_worker_replicas"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "protocol"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_checkpoints_secs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_checkpoints_steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_summary_steps"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "service"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "session_config"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "task_id"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "task_type"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tf_random_seed"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "train_distribute"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'model_dir\', \'tf_random_seed\', \'save_summary_steps\', \'save_checkpoints_steps\', \'save_checkpoints_secs\', \'session_config\', \'keep_checkpoint_max\', \'keep_checkpoint_every_n_hours\', \'log_step_count_steps\', \'train_distribute\', \'device_fn\', \'protocol\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'100\', \'<object object instance>\', \'<object object instance>\', \'None\', \'5\', \'10000\', \'100\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "replace"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-train-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-train-spec.pbtxt
new file mode 100644
index 00000000000..7d2f77438af
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-train-spec.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.estimator.TrainSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.training.TrainSpec\'>"
+ is_instance: "<class \'tensorflow.python.estimator.training.TrainSpec\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "hooks"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "max_steps"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-vocab-info.pbtxt
new file mode 100644
index 00000000000..5301b94eb36
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-vocab-info.pbtxt
@@ -0,0 +1,39 @@
+path: "tensorflow.estimator.VocabInfo"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>"
+ is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "backup_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "new_vocab"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "new_vocab_size"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "num_oov_buckets"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "old_vocab"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "old_vocab_size"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-warm-start-settings.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-warm-start-settings.pbtxt
new file mode 100644
index 00000000000..43f5343359a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-warm-start-settings.pbtxt
@@ -0,0 +1,31 @@
+path: "tensorflow.estimator.WarmStartSettings"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.estimator.WarmStartSettings\'>"
+ is_instance: "<class \'tensorflow.python.estimator.estimator.WarmStartSettings\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "ckpt_to_initialize_from"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "var_name_to_prev_var_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "var_name_to_vocab_info"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "vars_to_warm_start"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt
new file mode 100644
index 00000000000..3cf7af8da95
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.estimator.export.ClassificationOutput.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.pbtxt
new file mode 100644
index 00000000000..2df1840c4a4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.estimator.export.ClassificationOutput"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.ClassificationOutput\'>"
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "classes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scores"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'scores\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "as_signature_def"
+ argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt
new file mode 100644
index 00000000000..5d165ccbf91
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.estimator.export.ExportOutput.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.pbtxt
new file mode 100644
index 00000000000..fa62e8ced80
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.estimator.export.ExportOutput"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "as_signature_def"
+ argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt
new file mode 100644
index 00000000000..743495ba98c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.estimator.export.PredictOutput.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.pbtxt
new file mode 100644
index 00000000000..e0160b10ce1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.estimator.export.PredictOutput"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.PredictOutput\'>"
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "outputs"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'outputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_signature_def"
+ argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
new file mode 100644
index 00000000000..dbf4e3dec85
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.estimator.export.RegressionOutput.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.pbtxt
new file mode 100644
index 00000000000..905f0e05535
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.estimator.export.RegressionOutput"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.RegressionOutput\'>"
+ is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "value"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_signature_def"
+ argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-serving-input-receiver.pbtxt
new file mode 100644
index 00000000000..d71b2a43006
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-serving-input-receiver.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.estimator.export.ServingInputReceiver"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.export.export.ServingInputReceiver\'>"
+ is_instance: "<class \'tensorflow.python.estimator.export.export.ServingInputReceiver\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "features"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "receiver_tensors"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "receiver_tensors_alternatives"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt
new file mode 100644
index 00000000000..4fe92643bf9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.estimator.export.TensorServingInputReceiver"
+tf_class {
+ is_instance: "<class \'tensorflow.python.estimator.export.export.TensorServingInputReceiver\'>"
+ is_instance: "<class \'tensorflow.python.estimator.export.export.TensorServingInputReceiver\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "features"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "receiver_tensors"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "receiver_tensors_alternatives"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.pbtxt
new file mode 100644
index 00000000000..bd72f6cd79f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.pbtxt
@@ -0,0 +1,35 @@
+path: "tensorflow.estimator.export"
+tf_module {
+ member {
+ name: "ClassificationOutput"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "ExportOutput"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "PredictOutput"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "RegressionOutput"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "ServingInputReceiver"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TensorServingInputReceiver"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "build_parsing_serving_input_receiver_fn"
+ argspec: "args=[\'feature_spec\', \'default_batch_size\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "build_raw_serving_input_receiver_fn"
+ argspec: "args=[\'features\', \'default_batch_size\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.inputs.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.inputs.pbtxt
new file mode 100644
index 00000000000..b318fea1f82
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.inputs.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.estimator.inputs"
+tf_module {
+ member_method {
+ name: "numpy_input_fn"
+ argspec: "args=[\'x\', \'y\', \'batch_size\', \'num_epochs\', \'shuffle\', \'queue_capacity\', \'num_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'128\', \'1\', \'None\', \'1000\', \'1\'], "
+ }
+ member_method {
+ name: "pandas_input_fn"
+ argspec: "args=[\'x\', \'y\', \'batch_size\', \'num_epochs\', \'shuffle\', \'queue_capacity\', \'num_threads\', \'target_column\'], varargs=None, keywords=None, defaults=[\'None\', \'128\', \'1\', \'None\', \'1000\', \'1\', \'target\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.pbtxt
new file mode 100644
index 00000000000..f1d204a3ef9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.pbtxt
@@ -0,0 +1,111 @@
+path: "tensorflow.estimator"
+tf_module {
+ member {
+ name: "BaselineClassifier"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "BaselineRegressor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "BestExporter"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "BoostedTreesClassifier"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "BoostedTreesRegressor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "DNNClassifier"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "DNNLinearCombinedClassifier"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "DNNLinearCombinedRegressor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "DNNRegressor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Estimator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "EstimatorSpec"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "EvalSpec"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Exporter"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "FinalExporter"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "LatestExporter"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "LinearClassifier"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "LinearRegressor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ModeKeys"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RunConfig"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TrainSpec"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "VocabInfo"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "WarmStartSettings"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "export"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "inputs"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "classifier_parse_example_spec"
+ argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'weight_column\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\', \'None\'], "
+ }
+ member_method {
+ name: "regressor_parse_example_spec"
+ argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'label_dimension\', \'weight_column\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\', \'1\', \'None\'], "
+ }
+ member_method {
+ name: "train_and_evaluate"
+ argspec: "args=[\'estimator\', \'train_spec\', \'eval_spec\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.feature_column.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.feature_column.pbtxt
new file mode 100644
index 00000000000..24a58fb118b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.feature_column.pbtxt
@@ -0,0 +1,59 @@
+path: "tensorflow.feature_column"
+tf_module {
+ member_method {
+ name: "bucketized_column"
+ argspec: "args=[\'source_column\', \'boundaries\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "categorical_column_with_hash_bucket"
+ argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'string\'>\"], "
+ }
+ member_method {
+ name: "categorical_column_with_identity"
+ argspec: "args=[\'key\', \'num_buckets\', \'default_value\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "categorical_column_with_vocabulary_file"
+ argspec: "args=[\'key\', \'vocabulary_file\', \'vocabulary_size\', \'num_oov_buckets\', \'default_value\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\', \"<dtype: \'string\'>\"], "
+ }
+ member_method {
+ name: "categorical_column_with_vocabulary_list"
+ argspec: "args=[\'key\', \'vocabulary_list\', \'dtype\', \'default_value\', \'num_oov_buckets\'], varargs=None, keywords=None, defaults=[\'None\', \'-1\', \'0\'], "
+ }
+ member_method {
+ name: "crossed_column"
+ argspec: "args=[\'keys\', \'hash_bucket_size\', \'hash_key\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "embedding_column"
+ argspec: "args=[\'categorical_column\', \'dimension\', \'combiner\', \'initializer\', \'ckpt_to_load_from\', \'tensor_name_in_ckpt\', \'max_norm\', \'trainable\'], varargs=None, keywords=None, defaults=[\'mean\', \'None\', \'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "indicator_column"
+ argspec: "args=[\'categorical_column\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "input_layer"
+ argspec: "args=[\'features\', \'feature_columns\', \'weight_collections\', \'trainable\', \'cols_to_vars\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "linear_model"
+ argspec: "args=[\'features\', \'feature_columns\', \'units\', \'sparse_combiner\', \'weight_collections\', \'trainable\', \'cols_to_vars\'], varargs=None, keywords=None, defaults=[\'1\', \'sum\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "make_parse_example_spec"
+ argspec: "args=[\'feature_columns\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "numeric_column"
+ argspec: "args=[\'key\', \'shape\', \'default_value\', \'dtype\', \'normalizer_fn\'], varargs=None, keywords=None, defaults=[\'(1,)\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
+ }
+ member_method {
+ name: "shared_embedding_columns"
+ argspec: "args=[\'categorical_columns\', \'dimension\', \'combiner\', \'initializer\', \'shared_embedding_collection_name\', \'ckpt_to_load_from\', \'tensor_name_in_ckpt\', \'max_norm\', \'trainable\'], varargs=None, keywords=None, defaults=[\'mean\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "weighted_categorical_column"
+ argspec: "args=[\'categorical_column\', \'weight_feature_key\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.-fast-g-file.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-fast-g-file.pbtxt
new file mode 100644
index 00000000000..eecfaffd0a6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-fast-g-file.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.gfile.FastGFile"
+tf_class {
+ is_instance: "<class \'tensorflow.python.platform.gfile.FastGFile\'>"
+ is_instance: "<class \'tensorflow.python.lib.io.file_io.FileIO\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "mode"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'mode\'], varargs=None, keywords=None, defaults=[\'r\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flush"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "next"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'n\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "readline"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "readlines"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "seek"
+ argspec: "args=[\'self\', \'offset\', \'whence\', \'position\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "tell"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "write"
+ argspec: "args=[\'self\', \'file_content\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.-g-file.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-g-file.pbtxt
new file mode 100644
index 00000000000..305251059d9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-g-file.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.gfile.GFile"
+tf_class {
+ is_instance: "<class \'tensorflow.python.platform.gfile.GFile\'>"
+ is_instance: "<class \'tensorflow.python.lib.io.file_io.FileIO\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "mode"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'mode\'], varargs=None, keywords=None, defaults=[\'r\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flush"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "next"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'n\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "readline"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "readlines"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "seek"
+ argspec: "args=[\'self\', \'offset\', \'whence\', \'position\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "tell"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "write"
+ argspec: "args=[\'self\', \'file_content\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.-open.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-open.pbtxt
new file mode 100644
index 00000000000..6e8894180a4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-open.pbtxt
@@ -0,0 +1,58 @@
+path: "tensorflow.gfile.Open"
+tf_class {
+ is_instance: "<class \'tensorflow.python.platform.gfile.GFile\'>"
+ is_instance: "<class \'tensorflow.python.lib.io.file_io.FileIO\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "mode"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'mode\'], varargs=None, keywords=None, defaults=[\'r\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flush"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "next"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "read"
+ argspec: "args=[\'self\', \'n\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "readline"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "readlines"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "seek"
+ argspec: "args=[\'self\', \'offset\', \'whence\', \'position\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "size"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "tell"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "write"
+ argspec: "args=[\'self\', \'file_content\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.pbtxt
new file mode 100644
index 00000000000..65b55a8b7c4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.pbtxt
@@ -0,0 +1,63 @@
+path: "tensorflow.gfile"
+tf_module {
+ member {
+ name: "FastGFile"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "GFile"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Open"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "Copy"
+ argspec: "args=[\'oldpath\', \'newpath\', \'overwrite\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "DeleteRecursively"
+ argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Exists"
+ argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Glob"
+ argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "IsDirectory"
+ argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "ListDirectory"
+ argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "MakeDirs"
+ argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "MkDir"
+ argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Remove"
+ argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Rename"
+ argspec: "args=[\'oldname\', \'newname\', \'overwrite\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "Stat"
+ argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Walk"
+ argspec: "args=[\'top\', \'in_order\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.graph_util.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.graph_util.pbtxt
new file mode 100644
index 00000000000..eeabf845dca
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.graph_util.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.graph_util"
+tf_module {
+ member_method {
+ name: "convert_variables_to_constants"
+ argspec: "args=[\'sess\', \'input_graph_def\', \'output_node_names\', \'variable_names_whitelist\', \'variable_names_blacklist\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "extract_sub_graph"
+ argspec: "args=[\'graph_def\', \'dest_nodes\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "must_run_on_cpu"
+ argspec: "args=[\'node\', \'pin_variables_on_cpu\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "remove_training_nodes"
+ argspec: "args=[\'input_graph\', \'protected_nodes\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "tensor_shape_from_node_def_name"
+ argspec: "args=[\'graph\', \'input_name\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.image.-resize-method.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.image.-resize-method.pbtxt
new file mode 100644
index 00000000000..dbc360b13ee
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.image.-resize-method.pbtxt
@@ -0,0 +1,24 @@
+path: "tensorflow.image.ResizeMethod"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.image_ops_impl.ResizeMethod\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "AREA"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "BICUBIC"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "BILINEAR"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "NEAREST_NEIGHBOR"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.image.pbtxt
new file mode 100644
index 00000000000..6ec3aba7758
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.image.pbtxt
@@ -0,0 +1,247 @@
+path: "tensorflow.image"
+tf_module {
+ member {
+ name: "ResizeMethod"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "adjust_brightness"
+ argspec: "args=[\'image\', \'delta\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.constant.pbtxt
new file mode 100644
index 00000000000..607a5aae21f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.constant.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.constant"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.identity.pbtxt
new file mode 100644
index 00000000000..37fcab95997
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.identity.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.identity"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.ones.pbtxt
new file mode 100644
index 00000000000..18481d48150
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.ones.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.ones"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.orthogonal.pbtxt
new file mode 100644
index 00000000000..ff64efd60cf
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.orthogonal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.orthogonal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.pbtxt
new file mode 100644
index 00000000000..bc0426f2f14
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.pbtxt
@@ -0,0 +1,79 @@
+path: "tensorflow.initializers"
+tf_module {
+ member {
+ name: "constant"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "identity"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ones"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "orthogonal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "random_normal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "random_uniform"
+ mtype: "<type \'type\'>"
+ }
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+ name: "truncated_normal"
+ mtype: "<type \'type\'>"
+ }
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+ name: "uniform_unit_scaling"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "variance_scaling"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "zeros"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "global_variables"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "glorot_normal"
+ argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "glorot_uniform"
+ argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "he_normal"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "he_uniform"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "lecun_normal"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "lecun_uniform"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "local_variables"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_normal.pbtxt
new file mode 100644
index 00000000000..133e61c1d98
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.random_normal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_uniform.pbtxt
new file mode 100644
index 00000000000..0cfa0080f5a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_uniform.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.random_uniform"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.truncated_normal.pbtxt
new file mode 100644
index 00000000000..730390fba27
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.truncated_normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.truncated_normal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.uniform_unit_scaling.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.uniform_unit_scaling.pbtxt
new file mode 100644
index 00000000000..13295ef375a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.uniform_unit_scaling.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.uniform_unit_scaling"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.UniformUnitScaling\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'factor\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.variance_scaling.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.variance_scaling.pbtxt
new file mode 100644
index 00000000000..86340913e25
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.variance_scaling.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.variance_scaling"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.VarianceScaling\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.zeros.pbtxt
new file mode 100644
index 00000000000..7df4237bb65
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.zeros.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.initializers.zeros"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.io.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.io.pbtxt
new file mode 100644
index 00000000000..3a36c168aa7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.io.pbtxt
@@ -0,0 +1,39 @@
+path: "tensorflow.io"
+tf_module {
+ member_method {
+ name: "decode_base64"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "decode_compressed"
+ argspec: "args=[\'bytes\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
+ }
+ member_method {
+ name: "decode_json_example"
+ argspec: "args=[\'json_examples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "decode_raw"
+ argspec: "args=[\'bytes\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+ member_method {
+ name: "encode_base64"
+ argspec: "args=[\'input\', \'pad\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "matching_files"
+ argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "parse_tensor"
+ argspec: "args=[\'serialized\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "read_file"
+ argspec: "args=[\'filename\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "write_file"
+ argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.-model.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.-model.pbtxt
new file mode 100644
index 00000000000..40e82b18b68
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.-model.pbtxt
@@ -0,0 +1,268 @@
+path: "tensorflow.keras.Model"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_spec"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "layers"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "state_updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "stateful"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "uses_learning_phase"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compile"
+ argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ }
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+ }
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+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.-sequential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.-sequential.pbtxt
new file mode 100644
index 00000000000..65cfad77d1f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.-sequential.pbtxt
@@ -0,0 +1,289 @@
+path: "tensorflow.keras.Sequential"
+tf_class {
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+ is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ }
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+ }
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+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_layer"
+ argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "load_weights"
+ argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "pop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "predict_classes"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], "
+ }
+ member_method {
+ name: "predict_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], "
+ }
+ member_method {
+ name: "predict_on_batch"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict_proba"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], "
+ }
+ member_method {
+ name: "reset_states"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "save"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+ }
+ member_method {
+ name: "save_weights"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "summary"
+ argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "symbolic_set_inputs"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "test_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "to_json"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "to_yaml"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "train_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.activations.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.activations.pbtxt
new file mode 100644
index 00000000000..2cd83baf65c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.activations.pbtxt
@@ -0,0 +1,55 @@
+path: "tensorflow.keras.activations"
+tf_module {
+ member_method {
+ name: "deserialize"
+ argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "elu"
+ argspec: "args=[\'x\', \'alpha\'], varargs=None, keywords=None, defaults=[\'1.0\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "hard_sigmoid"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "linear"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "relu"
+ argspec: "args=[\'x\', \'alpha\', \'max_value\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\'], "
+ }
+ member_method {
+ name: "selu"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "serialize"
+ argspec: "args=[\'activation\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "sigmoid"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "softmax"
+ argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "softplus"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "softsign"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "tanh"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.densenet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.densenet.pbtxt
new file mode 100644
index 00000000000..42cb9144505
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.densenet.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.keras.applications.densenet"
+tf_module {
+ member_method {
+ name: "DenseNet121"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "DenseNet169"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "DenseNet201"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_resnet_v2.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_resnet_v2.pbtxt
new file mode 100644
index 00000000000..211080c19b7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_resnet_v2.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.inception_resnet_v2"
+tf_module {
+ member_method {
+ name: "InceptionResNetV2"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_v3.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_v3.pbtxt
new file mode 100644
index 00000000000..b67cee80ab0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_v3.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.inception_v3"
+tf_module {
+ member_method {
+ name: "InceptionV3"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.mobilenet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.mobilenet.pbtxt
new file mode 100644
index 00000000000..ef774e1dd74
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.mobilenet.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.mobilenet"
+tf_module {
+ member_method {
+ name: "MobileNet"
+ argspec: "args=[\'input_shape\', \'alpha\', \'depth_multiplier\', \'dropout\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'1.0\', \'1\', \'0.001\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.nasnet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.nasnet.pbtxt
new file mode 100644
index 00000000000..cd75b875405
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.nasnet.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.keras.applications.nasnet"
+tf_module {
+ member_method {
+ name: "NASNetLarge"
+ argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "NASNetMobile"
+ argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.pbtxt
new file mode 100644
index 00000000000..9fc086eb8e1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.pbtxt
@@ -0,0 +1,87 @@
+path: "tensorflow.keras.applications"
+tf_module {
+ member {
+ name: "densenet"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "inception_resnet_v2"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "inception_v3"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "mobilenet"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "nasnet"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "resnet50"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "vgg16"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "vgg19"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "xception"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "DenseNet121"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "DenseNet169"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "DenseNet201"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "InceptionResNetV2"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "InceptionV3"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "MobileNet"
+ argspec: "args=[\'input_shape\', \'alpha\', \'depth_multiplier\', \'dropout\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'1.0\', \'1\', \'0.001\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "NASNetLarge"
+ argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "NASNetMobile"
+ argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "ResNet50"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "VGG16"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "VGG19"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "Xception"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.resnet50.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.resnet50.pbtxt
new file mode 100644
index 00000000000..7385af064da
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.resnet50.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.resnet50"
+tf_module {
+ member_method {
+ name: "ResNet50"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\', \'data_format\', \'mode\'], varargs=None, keywords=None, defaults=[\'None\', \'caffe\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg16.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg16.pbtxt
new file mode 100644
index 00000000000..ba66fba8f30
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg16.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.vgg16"
+tf_module {
+ member_method {
+ name: "VGG16"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\', \'data_format\', \'mode\'], varargs=None, keywords=None, defaults=[\'None\', \'caffe\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg19.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg19.pbtxt
new file mode 100644
index 00000000000..e55a1345b60
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg19.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.vgg19"
+tf_module {
+ member_method {
+ name: "VGG19"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\', \'data_format\', \'mode\'], varargs=None, keywords=None, defaults=[\'None\', \'caffe\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.xception.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.xception.pbtxt
new file mode 100644
index 00000000000..59dd2108f2a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.xception.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.applications.xception"
+tf_module {
+ member_method {
+ name: "Xception"
+ argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], "
+ }
+ member_method {
+ name: "decode_predictions"
+ argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], "
+ }
+ member_method {
+ name: "preprocess_input"
+ argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.name_scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.name_scope.pbtxt
new file mode 100644
index 00000000000..a2b98b1c27c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.name_scope.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.keras.backend.name_scope"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.name_scope\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'default_name\', \'values\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.pbtxt
new file mode 100644
index 00000000000..fddac63b781
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.pbtxt
@@ -0,0 +1,555 @@
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-base-logger.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-base-logger.pbtxt
new file mode 100644
index 00000000000..9eee9b37896
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-base-logger.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.BaseLogger"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.BaseLogger\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt
new file mode 100644
index 00000000000..5bb949c5bb6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.CSVLogger"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.CSVLogger\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filename\', \'separator\', \'append\'], varargs=None, keywords=None, defaults=[\',\', \'False\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-callback.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-callback.pbtxt
new file mode 100644
index 00000000000..a5340d52c1a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-callback.pbtxt
@@ -0,0 +1,41 @@
+path: "tensorflow.keras.callbacks.Callback"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-early-stopping.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-early-stopping.pbtxt
new file mode 100644
index 00000000000..f71292856cd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-early-stopping.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.EarlyStopping"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.EarlyStopping\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'monitor\', \'min_delta\', \'patience\', \'verbose\', \'mode\', \'baseline\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'0\', \'0\', \'auto\', \'None\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-history.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-history.pbtxt
new file mode 100644
index 00000000000..ee400b31c43
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-history.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.History"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.History\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-lambda-callback.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-lambda-callback.pbtxt
new file mode 100644
index 00000000000..df8d7b0ef7a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-lambda-callback.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.LambdaCallback"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.LambdaCallback\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'on_epoch_begin\', \'on_epoch_end\', \'on_batch_begin\', \'on_batch_end\', \'on_train_begin\', \'on_train_end\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt
new file mode 100644
index 00000000000..ce1a9b694d8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.LearningRateScheduler"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.LearningRateScheduler\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'schedule\', \'verbose\'], varargs=None, keywords=None, defaults=[\'0\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-model-checkpoint.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-model-checkpoint.pbtxt
new file mode 100644
index 00000000000..48bb24a0527
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-model-checkpoint.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.ModelCheckpoint"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.ModelCheckpoint\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filepath\', \'monitor\', \'verbose\', \'save_best_only\', \'save_weights_only\', \'mode\', \'period\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'False\', \'False\', \'auto\', \'1\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-progbar-logger.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-progbar-logger.pbtxt
new file mode 100644
index 00000000000..d8bb8b2a7d0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-progbar-logger.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.ProgbarLogger"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.ProgbarLogger\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'count_mode\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'samples\', \'None\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt
new file mode 100644
index 00000000000..dc27af9552a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt
@@ -0,0 +1,46 @@
+path: "tensorflow.keras.callbacks.ReduceLROnPlateau"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.ReduceLROnPlateau\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'monitor\', \'factor\', \'patience\', \'verbose\', \'mode\', \'min_delta\', \'cooldown\', \'min_lr\'], varargs=None, keywords=kwargs, defaults=[\'val_loss\', \'0.1\', \'10\', \'0\', \'auto\', \'0.0001\', \'0\', \'0\'], "
+ }
+ member_method {
+ name: "in_cooldown"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-remote-monitor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-remote-monitor.pbtxt
new file mode 100644
index 00000000000..5a3b791c0ad
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-remote-monitor.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.RemoteMonitor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.RemoteMonitor\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'root\', \'path\', \'field\', \'headers\', \'send_as_json\'], varargs=None, keywords=None, defaults=[\'http://localhost:9000\', \'/publish/epoch/end/\', \'data\', \'None\', \'False\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-tensor-board.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-tensor-board.pbtxt
new file mode 100644
index 00000000000..e58ba18c1c0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-tensor-board.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.TensorBoard"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.TensorBoard\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'log_dir\', \'histogram_freq\', \'batch_size\', \'write_graph\', \'write_grads\', \'write_images\', \'embeddings_freq\', \'embeddings_layer_names\', \'embeddings_metadata\', \'embeddings_data\'], varargs=None, keywords=None, defaults=[\'./logs\', \'0\', \'32\', \'True\', \'False\', \'False\', \'0\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt
new file mode 100644
index 00000000000..5c2d336353a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.callbacks.TerminateOnNaN"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.callbacks.TerminateOnNaN\'>"
+ is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_batch_begin"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_batch_end"
+ argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_begin"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_begin"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "on_train_end"
+ argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_model"
+ argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.pbtxt
new file mode 100644
index 00000000000..1e9085e034c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.pbtxt
@@ -0,0 +1,55 @@
+path: "tensorflow.keras.callbacks"
+tf_module {
+ member {
+ name: "BaseLogger"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "CSVLogger"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Callback"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "EarlyStopping"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "History"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "LambdaCallback"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "LearningRateScheduler"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ModelCheckpoint"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ProgbarLogger"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ReduceLROnPlateau"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RemoteMonitor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TensorBoard"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TerminateOnNaN"
+ mtype: "<type \'type\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt
new file mode 100644
index 00000000000..8e07b7d98e1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.keras.constraints.Constraint"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt
new file mode 100644
index 00000000000..2b81174b6cd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.constraints.MaxNorm"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.MaxNorm\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt
new file mode 100644
index 00000000000..a41eda86ac2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.constraints.MinMaxNorm"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.MinMaxNorm\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt
new file mode 100644
index 00000000000..572e3eea4d9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.keras.constraints.NonNeg"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.NonNeg\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt
new file mode 100644
index 00000000000..fe16c38cc83
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.constraints.UnitNorm"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.UnitNorm\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt
new file mode 100644
index 00000000000..6650bae07a0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.constraints.max_norm"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.MaxNorm\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt
new file mode 100644
index 00000000000..9dd3bc92fc4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.constraints.min_max_norm"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.MinMaxNorm\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt
new file mode 100644
index 00000000000..a565840939f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.keras.constraints.non_neg"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.NonNeg\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.pbtxt
new file mode 100644
index 00000000000..655685956f0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.keras.constraints"
+tf_module {
+ member {
+ name: "Constraint"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MaxNorm"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MinMaxNorm"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "NonNeg"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "UnitNorm"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "max_norm"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "min_max_norm"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "non_neg"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "unit_norm"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "deserialize"
+ argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "serialize"
+ argspec: "args=[\'constraint\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt
new file mode 100644
index 00000000000..5cbe0da4c1d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.constraints.unit_norm"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.constraints.UnitNorm\'>"
+ is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt
new file mode 100644
index 00000000000..bda31751d42
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.datasets.boston_housing"
+tf_module {
+ member_method {
+ name: "load_data"
+ argspec: "args=[\'path\', \'test_split\', \'seed\'], varargs=None, keywords=None, defaults=[\'boston_housing.npz\', \'0.2\', \'113\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt
new file mode 100644
index 00000000000..8a5142f793d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.datasets.cifar10"
+tf_module {
+ member_method {
+ name: "load_data"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt
new file mode 100644
index 00000000000..16f184eeb5e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.datasets.cifar100"
+tf_module {
+ member_method {
+ name: "load_data"
+ argspec: "args=[\'label_mode\'], varargs=None, keywords=None, defaults=[\'fine\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt
new file mode 100644
index 00000000000..a0e14356fa5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.datasets.fashion_mnist"
+tf_module {
+ member_method {
+ name: "load_data"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt
new file mode 100644
index 00000000000..ff962876b66
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.keras.datasets.imdb"
+tf_module {
+ member_method {
+ name: "get_word_index"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'imdb_word_index.json\'], "
+ }
+ member_method {
+ name: "load_data"
+ argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'seed\', \'start_char\', \'oov_char\', \'index_from\'], varargs=None, keywords=kwargs, defaults=[\'imdb.npz\', \'None\', \'0\', \'None\', \'113\', \'1\', \'2\', \'3\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt
new file mode 100644
index 00000000000..530bb075506
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.datasets.mnist"
+tf_module {
+ member_method {
+ name: "load_data"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'mnist.npz\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.pbtxt
new file mode 100644
index 00000000000..36e3aafbe4d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.pbtxt
@@ -0,0 +1,31 @@
+path: "tensorflow.keras.datasets"
+tf_module {
+ member {
+ name: "boston_housing"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "cifar10"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "cifar100"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "fashion_mnist"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "imdb"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "mnist"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "reuters"
+ mtype: "<type \'module\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt
new file mode 100644
index 00000000000..2da4a13067f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.keras.datasets.reuters"
+tf_module {
+ member_method {
+ name: "get_word_index"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'reuters_word_index.json\'], "
+ }
+ member_method {
+ name: "load_data"
+ argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'test_split\', \'seed\', \'start_char\', \'oov_char\', \'index_from\'], varargs=None, keywords=kwargs, defaults=[\'reuters.npz\', \'None\', \'0\', \'None\', \'0.2\', \'113\', \'1\', \'2\', \'3\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.estimator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.estimator.pbtxt
new file mode 100644
index 00000000000..7a3fb39f774
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.estimator.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.estimator"
+tf_module {
+ member_method {
+ name: "model_to_estimator"
+ argspec: "args=[\'keras_model\', \'keras_model_path\', \'custom_objects\', \'model_dir\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt
new file mode 100644
index 00000000000..cbaba78ed5a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.Constant"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt
new file mode 100644
index 00000000000..a5f7f348de9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.Identity"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt
new file mode 100644
index 00000000000..8f10d1698e7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt
@@ -0,0 +1,16 @@
+path: "tensorflow.keras.initializers.Initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt
new file mode 100644
index 00000000000..2fbfa774f8e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.Ones"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt
new file mode 100644
index 00000000000..874d320d73d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.Orthogonal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt
new file mode 100644
index 00000000000..23cd02c0b06
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.RandomNormal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt
new file mode 100644
index 00000000000..d98628f4225
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.RandomUniform"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt
new file mode 100644
index 00000000000..86d48257c1f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.TruncatedNormal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt
new file mode 100644
index 00000000000..03f4064b9ef
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.VarianceScaling"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.VarianceScaling\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt
new file mode 100644
index 00000000000..b6ab68e5beb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.Zeros"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt
new file mode 100644
index 00000000000..bddc37b907e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.constant"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt
new file mode 100644
index 00000000000..a4c5a614904
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.identity"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.normal.pbtxt
new file mode 100644
index 00000000000..7485772784d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.normal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt
new file mode 100644
index 00000000000..a89f78d1e1a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.ones"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt
new file mode 100644
index 00000000000..ee1e9bbae2b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.orthogonal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.pbtxt
new file mode 100644
index 00000000000..8645e543029
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.pbtxt
@@ -0,0 +1,119 @@
+path: "tensorflow.keras.initializers"
+tf_module {
+ member {
+ name: "Constant"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Identity"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Initializer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Ones"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Orthogonal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RandomNormal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RandomUniform"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TruncatedNormal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "VarianceScaling"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Zeros"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "constant"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "identity"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "normal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ones"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "orthogonal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "random_normal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "random_uniform"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "truncated_normal"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "uniform"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "zeros"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "deserialize"
+ argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "glorot_normal"
+ argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "glorot_uniform"
+ argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "he_normal"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "he_uniform"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "lecun_normal"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "lecun_uniform"
+ argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "serialize"
+ argspec: "args=[\'initializer\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt
new file mode 100644
index 00000000000..a6df1e87a3f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.random_normal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt
new file mode 100644
index 00000000000..37a0fa0d550
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.random_uniform"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt
new file mode 100644
index 00000000000..f97e93f0b72
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.truncated_normal"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.uniform.pbtxt
new file mode 100644
index 00000000000..58186b1383d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.uniform.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.uniform"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt
new file mode 100644
index 00000000000..a262390687f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.initializers.zeros"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activation.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activation.pbtxt
new file mode 100644
index 00000000000..86e328888e5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activation.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Activation"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Activation\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
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+ name: "name"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'activation\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activity-regularization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activity-regularization.pbtxt
new file mode 100644
index 00000000000..b0ed5457810
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activity-regularization.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ActivityRegularization"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.ActivityRegularization\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-add.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-add.pbtxt
new file mode 100644
index 00000000000..42f98ed03d4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-add.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Add"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Add\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-alpha-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-alpha-dropout.pbtxt
new file mode 100644
index 00000000000..000898a4be9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-alpha-dropout.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.AlphaDropout"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.noise.AlphaDropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\', \'noise_shape\', \'seed\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
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+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling1-d.pbtxt
new file mode 100644
index 00000000000..380b49f99ce
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.AveragePooling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "get_losses_for"
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+ }
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+ name: "get_output_at"
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+ }
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling2-d.pbtxt
new file mode 100644
index 00000000000..82db5e61376
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.AveragePooling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
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+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
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+ mtype: "<type \'property\'>"
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], "
+ }
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+ name: "add_loss"
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+ }
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+ name: "add_update"
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+ }
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling3-d.pbtxt
new file mode 100644
index 00000000000..b6ff688ec36
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.AveragePooling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average.pbtxt
new file mode 100644
index 00000000000..b41290f8b06
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Average"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Average\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool1-d.pbtxt
new file mode 100644
index 00000000000..88a033e61f4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.AvgPool1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
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+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool2-d.pbtxt
new file mode 100644
index 00000000000..c1b9b96044e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.AvgPool2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ name: "output"
+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool3-d.pbtxt
new file mode 100644
index 00000000000..f59f7727a3e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.AvgPool3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-batch-normalization.pbtxt
new file mode 100644
index 00000000000..7d3744ed926
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-batch-normalization.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.BatchNormalization"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalization\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-bidirectional.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-bidirectional.pbtxt
new file mode 100644
index 00000000000..3fd4ccdab25
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-bidirectional.pbtxt
@@ -0,0 +1,188 @@
+path: "tensorflow.keras.layers.Bidirectional"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Bidirectional\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-concatenate.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-concatenate.pbtxt
new file mode 100644
index 00000000000..ba21b50be41
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-concatenate.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Concatenate"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt
new file mode 100644
index 00000000000..46f9fa2bbbb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt
@@ -0,0 +1,273 @@
+path: "tensorflow.keras.layers.ConvLSTM2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional_recurrent.ConvLSTM2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional_recurrent.ConvRNN2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "data_format"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dilation_rate"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "filters"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "kernel_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_size"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "padding"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_activation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "states"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "strides"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "unit_forget_bias"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "use_bias"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'unit_forget_bias\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'go_backwards\', \'stateful\', \'dropout\', \'recurrent_dropout\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'False\', \'0.0\', \'0.0\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_initial_state"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "reset_states"
+ argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv1-d.pbtxt
new file mode 100644
index 00000000000..c3ad326589d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Conv1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "updates"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
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+ }
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+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d-transpose.pbtxt
new file mode 100644
index 00000000000..fd9eb43066b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d-transpose.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.Conv2DTranspose"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d.pbtxt
new file mode 100644
index 00000000000..40d61688f29
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Conv2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d-transpose.pbtxt
new file mode 100644
index 00000000000..b8c227d7257
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d-transpose.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.Conv3DTranspose"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d.pbtxt
new file mode 100644
index 00000000000..095d35e5749
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Conv3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution1-d.pbtxt
new file mode 100644
index 00000000000..8f999611982
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Convolution1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt
new file mode 100644
index 00000000000..96d522a016a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.Convolution2DTranspose"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d.pbtxt
new file mode 100644
index 00000000000..de2824dab45
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Convolution2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt
new file mode 100644
index 00000000000..1d563241d8f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.Convolution3DTranspose"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>"
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+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ is_instance: "<type \'object\'>"
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+ name: "get_output_shape_at"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d.pbtxt
new file mode 100644
index 00000000000..c87e52c5379
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Convolution3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'(1, 1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
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+ }
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+ name: "build"
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping1-d.pbtxt
new file mode 100644
index 00000000000..dccf5523e38
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping1-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Cropping1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Cropping1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'cropping\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
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+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ name: "add_weight"
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+ }
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+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping2-d.pbtxt
new file mode 100644
index 00000000000..7ac4116d922
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping2-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Cropping2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Cropping2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'cropping\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'((0, 0), (0, 0))\', \'None\'], "
+ }
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+ }
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+ }
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+ }
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping3-d.pbtxt
new file mode 100644
index 00000000000..024f72705de
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping3-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Cropping3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Cropping3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt
new file mode 100644
index 00000000000..4e0233331bd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt
@@ -0,0 +1,193 @@
+path: "tensorflow.keras.layers.CuDNNGRU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent.CuDNNGRU\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent._CuDNNRNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "cell"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "states"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'units\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\'], varargs=None, keywords=kwargs, defaults=[\'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'False\', \'False\'], "
+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt
new file mode 100644
index 00000000000..32d46ce8f3d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt
@@ -0,0 +1,193 @@
+path: "tensorflow.keras.layers.CuDNNLSTM"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent.CuDNNLSTM\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent._CuDNNRNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "cell"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dense.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dense.pbtxt
new file mode 100644
index 00000000000..858486c725c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dense.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Dense"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dense\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ }
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+ mtype: "<type \'property\'>"
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_updates_for"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt
new file mode 100644
index 00000000000..f65d7509262
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.DepthwiseConv2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.DepthwiseConv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'kernel_size\', \'strides\', \'padding\', \'depth_multiplier\', \'data_format\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'1\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dot.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dot.pbtxt
new file mode 100644
index 00000000000..2e71ef503d5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dot.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Dot"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Dot\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'axes\', \'normalize\'], varargs=None, keywords=kwargs, defaults=[\'False\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
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+ }
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+ name: "add_weight"
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+ }
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+ name: "get_output_mask_at"
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dropout.pbtxt
new file mode 100644
index 00000000000..42533bcd21b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dropout.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Dropout"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-e-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-e-l-u.pbtxt
new file mode 100644
index 00000000000..b5df1694179
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-e-l-u.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ELU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.ELU\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'alpha\'], varargs=None, keywords=kwargs, defaults=[\'1.0\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-embedding.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-embedding.pbtxt
new file mode 100644
index 00000000000..0ea17919a9b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-embedding.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Embedding"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.embeddings.Embedding\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'input_dim\', \'output_dim\', \'embeddings_initializer\', \'embeddings_regularizer\', \'activity_regularizer\', \'embeddings_constraint\', \'mask_zero\', \'input_length\'], varargs=None, keywords=kwargs, defaults=[\'uniform\', \'None\', \'None\', \'None\', \'False\', \'None\'], "
+ }
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+ }
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+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-flatten.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-flatten.pbtxt
new file mode 100644
index 00000000000..a33248bc005
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-flatten.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Flatten"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Flatten\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u-cell.pbtxt
new file mode 100644
index 00000000000..4ba21a25cda
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u-cell.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.GRUCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.GRUCell\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u.pbtxt
new file mode 100644
index 00000000000..a7a570418e0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u.pbtxt
@@ -0,0 +1,256 @@
+path: "tensorflow.keras.layers.GRU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.GRU\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "implementation"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_activation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "reset_after"
+ mtype: "<type \'property\'>"
+ }
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+ name: "states"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "units"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "use_bias"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\', \'unroll\', \'reset_after\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\', \'False\', \'False\', \'False\', \'False\', \'False\', \'False\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_initial_state"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reset_states"
+ argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-dropout.pbtxt
new file mode 100644
index 00000000000..763bc231136
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-dropout.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.GaussianDropout"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.noise.GaussianDropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\'], varargs=None, keywords=kwargs, defaults=None"
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+ }
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+ name: "add_update"
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+ }
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+ }
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-noise.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-noise.pbtxt
new file mode 100644
index 00000000000..3c50a3d7f28
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-noise.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.GaussianNoise"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.noise.GaussianNoise\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ }
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+ name: "get_output_mask_at"
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt
new file mode 100644
index 00000000000..ac78bdafada
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalAveragePooling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt
new file mode 100644
index 00000000000..275282d9d2b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalAveragePooling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "updates"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt
new file mode 100644
index 00000000000..0e31e6058bd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalAveragePooling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt
new file mode 100644
index 00000000000..aacd0b1791d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalAvgPool1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt
new file mode 100644
index 00000000000..c2365486634
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalAvgPool2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
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+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt
new file mode 100644
index 00000000000..6b9c0290aac
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalAvgPool3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ name: "output"
+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
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+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool1-d.pbtxt
new file mode 100644
index 00000000000..0d7b2211e6c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalMaxPool1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output"
+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
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+ }
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+ name: "get_output_mask_at"
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+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool2-d.pbtxt
new file mode 100644
index 00000000000..d080ad6aedb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalMaxPool2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ name: "__init__"
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+ }
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+ }
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+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool3-d.pbtxt
new file mode 100644
index 00000000000..fcb0a109da2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalMaxPool3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ name: "add_loss"
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+ }
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+ }
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt
new file mode 100644
index 00000000000..1d0e22abd0d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalMaxPooling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
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+ name: "get_output_shape_at"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt
new file mode 100644
index 00000000000..653c9f547bc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalMaxPooling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
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+ }
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt
new file mode 100644
index 00000000000..cdbaf82cf67
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.GlobalMaxPooling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ name: "dtype"
+ mtype: "<type \'property\'>"
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ name: "input"
+ mtype: "<type \'property\'>"
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ name: "get_output_shape_at"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-layer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-layer.pbtxt
new file mode 100644
index 00000000000..230c5e90343
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-layer.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.InputLayer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.input_layer.InputLayer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'input_shape\', \'batch_size\', \'dtype\', \'input_tensor\', \'sparse\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
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+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt
new file mode 100644
index 00000000000..5fd0a47a68c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.keras.layers.InputSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.InputSpec\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt
new file mode 100644
index 00000000000..511456e7408
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.LSTMCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTMCell\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'unit_forget_bias\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\'], "
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+ }
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+ }
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+ }
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+ name: "build"
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+ }
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+ }
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+ name: "compute_mask"
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+ }
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+ }
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+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
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+ }
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m.pbtxt
new file mode 100644
index 00000000000..4a3492ebd65
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m.pbtxt
@@ -0,0 +1,256 @@
+path: "tensorflow.keras.layers.LSTM"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTM\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "implementation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "kernel_constraint"
+ mtype: "<type \'property\'>"
+ }
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+ name: "kernel_initializer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "kernel_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "recurrent_dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_initializer"
+ mtype: "<type \'property\'>"
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+ name: "recurrent_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "unit_forget_bias"
+ mtype: "<type \'property\'>"
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+ name: "units"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "use_bias"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
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+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-lambda.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-lambda.pbtxt
new file mode 100644
index 00000000000..5d05cf689fb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-lambda.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Lambda"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Lambda\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'function\', \'output_shape\', \'mask\', \'arguments\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\'], "
+ }
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+ }
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+ }
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+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-layer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-layer.pbtxt
new file mode 100644
index 00000000000..7efa29be77c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-layer.pbtxt
@@ -0,0 +1,174 @@
+path: "tensorflow.keras.layers.Layer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
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+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-leaky-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-leaky-re-l-u.pbtxt
new file mode 100644
index 00000000000..0ca8e0b52c4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-leaky-re-l-u.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.LeakyReLU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.LeakyReLU\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected1-d.pbtxt
new file mode 100644
index 00000000000..f754fa1da85
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected1-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.LocallyConnected1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.local.LocallyConnected1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
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+ }
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+ name: "call"
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected2-d.pbtxt
new file mode 100644
index 00000000000..c9516b8f07d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected2-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.LocallyConnected2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.local.LocallyConnected2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
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+ }
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+ name: "add_update"
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+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-masking.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-masking.pbtxt
new file mode 100644
index 00000000000..850ecff9743
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-masking.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Masking"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Masking\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'mask_value\'], varargs=None, keywords=kwargs, defaults=[\'0.0\'], "
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool1-d.pbtxt
new file mode 100644
index 00000000000..7c69e31f9af
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.MaxPool1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool2-d.pbtxt
new file mode 100644
index 00000000000..fba42642d7c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.MaxPool2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool3-d.pbtxt
new file mode 100644
index 00000000000..9c277411ea5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.MaxPool3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\', \'valid\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling1-d.pbtxt
new file mode 100644
index 00000000000..7c2f6ccc8a9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.MaxPooling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling2-d.pbtxt
new file mode 100644
index 00000000000..802178dba63
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.MaxPooling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
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+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling3-d.pbtxt
new file mode 100644
index 00000000000..e870dfe9ade
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.MaxPooling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\', \'valid\', \'None\'], "
+ }
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-maximum.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-maximum.pbtxt
new file mode 100644
index 00000000000..c1337ce0cba
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-maximum.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Maximum"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Maximum\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ }
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+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-minimum.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-minimum.pbtxt
new file mode 100644
index 00000000000..ed27a62765d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-minimum.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Minimum"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Minimum\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-multiply.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-multiply.pbtxt
new file mode 100644
index 00000000000..b9f05cb3e56
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-multiply.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Multiply"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Multiply\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
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+ name: "build"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-p-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-p-re-l-u.pbtxt
new file mode 100644
index 00000000000..336d9f76fb1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-p-re-l-u.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.PReLU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.PReLU\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'alpha_initializer\', \'alpha_regularizer\', \'alpha_constraint\', \'shared_axes\'], varargs=None, keywords=kwargs, defaults=[\'zeros\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
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+ }
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+ }
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+ }
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+ }
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+ }
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-permute.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-permute.pbtxt
new file mode 100644
index 00000000000..46282217e01
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-permute.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Permute"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Permute\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-r-n-n.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-r-n-n.pbtxt
new file mode 100644
index 00000000000..42cd7e87eeb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-r-n-n.pbtxt
@@ -0,0 +1,187 @@
+path: "tensorflow.keras.layers.RNN"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ name: "variables"
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+ name: "weights"
+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'cell\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\', \'unroll\'], varargs=None, keywords=kwargs, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\'], "
+ }
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
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+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\', \'constants\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
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+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-re-l-u.pbtxt
new file mode 100644
index 00000000000..c00fa79adfb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-re-l-u.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ReLU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.ReLU\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'max_value\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-repeat-vector.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-repeat-vector.pbtxt
new file mode 100644
index 00000000000..9f094a877a3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-repeat-vector.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.RepeatVector"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.RepeatVector\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'n\'], varargs=None, keywords=kwargs, defaults=None"
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
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+ name: "build"
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
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+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-reshape.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-reshape.pbtxt
new file mode 100644
index 00000000000..2f519a24385
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-reshape.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Reshape"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Reshape\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ name: "output"
+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'target_shape\'], varargs=None, keywords=kwargs, defaults=None"
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv1-d.pbtxt
new file mode 100644
index 00000000000..6b93116ba02
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv1-d.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.SeparableConv1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv2-d.pbtxt
new file mode 100644
index 00000000000..fd17115e273
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv2-d.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.SeparableConv2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution1-d.pbtxt
new file mode 100644
index 00000000000..4b37a944788
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution1-d.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.SeparableConvolution1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution2-d.pbtxt
new file mode 100644
index 00000000000..5bdadca74ae
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution2-d.pbtxt
@@ -0,0 +1,177 @@
+path: "tensorflow.keras.layers.SeparableConvolution2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>"
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt
new file mode 100644
index 00000000000..9dfda96fc81
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.SimpleRNNCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNNCell\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'states\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n.pbtxt
new file mode 100644
index 00000000000..7b7684ccd27
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n.pbtxt
@@ -0,0 +1,244 @@
+path: "tensorflow.keras.layers.SimpleRNN"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activation"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "bias_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "kernel_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "recurrent_constraint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_dropout"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "recurrent_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "states"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "units"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ }
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+ }
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "reset_states"
+ argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-softmax.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-softmax.pbtxt
new file mode 100644
index 00000000000..3b15407fca2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-softmax.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.Softmax"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.Softmax\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "call"
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt
new file mode 100644
index 00000000000..6d04415267c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.SpatialDropout1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.SpatialDropout1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\'], varargs=None, keywords=kwargs, defaults=None"
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt
new file mode 100644
index 00000000000..04950654d55
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.SpatialDropout2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.SpatialDropout2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
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+ name: "get_output_shape_at"
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+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt
new file mode 100644
index 00000000000..c424e6dcc86
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.SpatialDropout3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.core.SpatialDropout3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt
new file mode 100644
index 00000000000..1160d2840f5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt
@@ -0,0 +1,179 @@
+path: "tensorflow.keras.layers.StackedRNNCells"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.recurrent.StackedRNNCells\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'cells\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'states\', \'constants\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-subtract.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-subtract.pbtxt
new file mode 100644
index 00000000000..740a03367bd
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-subtract.pbtxt
@@ -0,0 +1,176 @@
+path: "tensorflow.keras.layers.Subtract"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.merge.Subtract\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt
new file mode 100644
index 00000000000..a08c583adb4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ThresholdedReLU"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.ThresholdedReLU\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'theta\'], varargs=None, keywords=kwargs, defaults=[\'1.0\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
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+ }
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+ name: "build"
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-time-distributed.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-time-distributed.pbtxt
new file mode 100644
index 00000000000..c1294fed0fc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-time-distributed.pbtxt
@@ -0,0 +1,180 @@
+path: "tensorflow.keras.layers.TimeDistributed"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.wrappers.TimeDistributed\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Wrapper\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=kwargs, defaults=None"
+ }
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+ name: "add_loss"
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+ }
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+ name: "add_update"
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+ }
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+ }
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+ }
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+ name: "call"
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+ }
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+ name: "compute_mask"
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ }
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+ name: "get_output_at"
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+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling1-d.pbtxt
new file mode 100644
index 00000000000..dc401d3ed0f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling1-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.UpSampling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.UpSampling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling2-d.pbtxt
new file mode 100644
index 00000000000..4b5165ae979
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling2-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.UpSampling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.UpSampling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'size\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling3-d.pbtxt
new file mode 100644
index 00000000000..789af15fea8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling3-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.UpSampling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.UpSampling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'size\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-wrapper.pbtxt
new file mode 100644
index 00000000000..0536a7cee7e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-wrapper.pbtxt
@@ -0,0 +1,179 @@
+path: "tensorflow.keras.layers.Wrapper"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Wrapper\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "inbound_nodes"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding1-d.pbtxt
new file mode 100644
index 00000000000..8915353ec33
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding1-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ZeroPadding1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.ZeroPadding1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'padding\'], varargs=None, keywords=kwargs, defaults=[\'1\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding2-d.pbtxt
new file mode 100644
index 00000000000..6efb5ef15a1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding2-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ZeroPadding2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.ZeroPadding2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ name: "count_params"
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+ }
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+ }
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+ name: "get_input_shape_at"
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+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding3-d.pbtxt
new file mode 100644
index 00000000000..4c33c5d0bf8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding3-d.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.keras.layers.ZeroPadding3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.ZeroPadding3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt
new file mode 100644
index 00000000000..9d7e5bb8c78
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt
@@ -0,0 +1,435 @@
+path: "tensorflow.keras.layers"
+tf_module {
+ member {
+ name: "Activation"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ActivityRegularization"
+ mtype: "<type \'type\'>"
+ }
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
+ }
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+ name: "Average"
+ mtype: "<type \'type\'>"
+ }
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
+ }
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ mtype: "<type \'type\'>"
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+ member {
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.losses.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.losses.pbtxt
new file mode 100644
index 00000000000..eca6b915388
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.losses.pbtxt
@@ -0,0 +1,115 @@
+path: "tensorflow.keras.losses"
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+ name: "KLD"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.metrics.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.metrics.pbtxt
new file mode 100644
index 00000000000..73b577da373
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.metrics.pbtxt
@@ -0,0 +1,123 @@
+path: "tensorflow.keras.metrics"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-model.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-model.pbtxt
new file mode 100644
index 00000000000..85f7c2bfedb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-model.pbtxt
@@ -0,0 +1,268 @@
+path: "tensorflow.keras.models.Model"
+tf_class {
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+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "evaluate_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], "
+ }
+ member_method {
+ name: "fit"
+ argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], "
+ }
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+ name: "fit_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_layer"
+ argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "load_weights"
+ argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "predict_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], "
+ }
+ member_method {
+ name: "predict_on_batch"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reset_states"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "save"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+ }
+ member_method {
+ name: "save_weights"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "summary"
+ argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "test_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "to_json"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "to_yaml"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "train_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-sequential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-sequential.pbtxt
new file mode 100644
index 00000000000..6a83129f7df
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-sequential.pbtxt
@@ -0,0 +1,289 @@
+path: "tensorflow.keras.models.Sequential"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.sequential.Sequential\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_spec"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "layers"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "state_updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "stateful"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "uses_learning_phase"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'layers\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "add"
+ argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compile"
+ argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "evaluate"
+ argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "evaluate_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], "
+ }
+ member_method {
+ name: "fit"
+ argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "fit_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_layer"
+ argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "load_weights"
+ argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "pop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "predict"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "predict_classes"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], "
+ }
+ member_method {
+ name: "predict_generator"
+ argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], "
+ }
+ member_method {
+ name: "predict_on_batch"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict_proba"
+ argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], "
+ }
+ member_method {
+ name: "reset_states"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "save"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+ }
+ member_method {
+ name: "save_weights"
+ argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "summary"
+ argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "symbolic_set_inputs"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "test_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "to_json"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "to_yaml"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "train_on_batch"
+ argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.models.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.pbtxt
new file mode 100644
index 00000000000..8ba0e7480bf
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.pbtxt
@@ -0,0 +1,31 @@
+path: "tensorflow.keras.models"
+tf_module {
+ member {
+ name: "Model"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Sequential"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "load_model"
+ argspec: "args=[\'filepath\', \'custom_objects\', \'compile\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+ }
+ member_method {
+ name: "model_from_config"
+ argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "model_from_json"
+ argspec: "args=[\'json_string\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "model_from_yaml"
+ argspec: "args=[\'yaml_string\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "save_model"
+ argspec: "args=[\'model\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adadelta.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adadelta.pbtxt
new file mode 100644
index 00000000000..b9ce154bdde
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adadelta.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.Adadelta"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Adadelta\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'rho\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'1.0\', \'0.95\', \'None\', \'0.0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adagrad.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adagrad.pbtxt
new file mode 100644
index 00000000000..d0dc9e37a38
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adagrad.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.Adagrad"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Adagrad\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'0.01\', \'None\', \'0.0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adam.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adam.pbtxt
new file mode 100644
index 00000000000..06815fa99a4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adam.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.Adam"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Adam\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'beta_1\', \'beta_2\', \'epsilon\', \'decay\', \'amsgrad\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.999\', \'None\', \'0.0\', \'False\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adamax.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adamax.pbtxt
new file mode 100644
index 00000000000..47b55fdb44e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adamax.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.Adamax"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Adamax\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'beta_1\', \'beta_2\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'0.002\', \'0.9\', \'0.999\', \'None\', \'0.0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-nadam.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-nadam.pbtxt
new file mode 100644
index 00000000000..8c63a7dda98
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-nadam.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.Nadam"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Nadam\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'beta_1\', \'beta_2\', \'epsilon\', \'schedule_decay\'], varargs=None, keywords=kwargs, defaults=[\'0.002\', \'0.9\', \'0.999\', \'None\', \'0.004\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-optimizer.pbtxt
new file mode 100644
index 00000000000..53d64dae932
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-optimizer.pbtxt
@@ -0,0 +1,33 @@
+path: "tensorflow.keras.optimizers.Optimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-r-m-sprop.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-r-m-sprop.pbtxt
new file mode 100644
index 00000000000..a1e9b8cceb9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-r-m-sprop.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.RMSprop"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.RMSprop\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'rho\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'None\', \'0.0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-s-g-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-s-g-d.pbtxt
new file mode 100644
index 00000000000..a67fefb1baf
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-s-g-d.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.keras.optimizers.SGD"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.optimizers.SGD\'>"
+ is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'lr\', \'momentum\', \'decay\', \'nesterov\'], varargs=None, keywords=kwargs, defaults=[\'0.01\', \'0.0\', \'0.0\', \'False\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_gradients"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates"
+ argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt
new file mode 100644
index 00000000000..7257b02087e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt
@@ -0,0 +1,47 @@
+path: "tensorflow.keras.optimizers"
+tf_module {
+ member {
+ name: "Adadelta"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Adagrad"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Adam"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Adamax"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Nadam"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Optimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RMSprop"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SGD"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "deserialize"
+ argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "serialize"
+ argspec: "args=[\'optimizer\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.pbtxt
new file mode 100644
index 00000000000..754b3b84b08
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.pbtxt
@@ -0,0 +1,83 @@
+path: "tensorflow.keras"
+tf_module {
+ member {
+ name: "Model"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Sequential"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "activations"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "applications"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "backend"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "callbacks"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "constraints"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "datasets"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "estimator"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "initializers"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "layers"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "metrics"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "models"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "optimizers"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "preprocessing"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "regularizers"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "utils"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "wrappers"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "Input"
+ argspec: "args=[\'shape\', \'batch_size\', \'name\', \'dtype\', \'sparse\', \'tensor\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt
new file mode 100644
index 00000000000..dddace87dca
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.keras.preprocessing.image.DirectoryIterator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.image.DirectoryIterator\'>"
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.image.Iterator\'>"
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.Sequence\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'directory\', \'image_data_generator\', \'target_size\', \'color_mode\', \'classes\', \'class_mode\', \'batch_size\', \'shuffle\', \'seed\', \'data_format\', \'save_to_dir\', \'save_prefix\', \'save_format\', \'follow_links\', \'subset\', \'interpolation\'], varargs=None, keywords=None, defaults=[\'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'True\', \'None\', \'None\', \'None\', \'\', \'png\', \'False\', \'None\', \'nearest\'], "
+ }
+ member_method {
+ name: "next"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt
new file mode 100644
index 00000000000..c1e2e94f0be
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.keras.preprocessing.image.ImageDataGenerator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.image.ImageDataGenerator\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'featurewise_center\', \'samplewise_center\', \'featurewise_std_normalization\', \'samplewise_std_normalization\', \'zca_whitening\', \'zca_epsilon\', \'rotation_range\', \'width_shift_range\', \'height_shift_range\', \'brightness_range\', \'shear_range\', \'zoom_range\', \'channel_shift_range\', \'fill_mode\', \'cval\', \'horizontal_flip\', \'vertical_flip\', \'rescale\', \'preprocessing_function\', \'data_format\', \'validation_split\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\', \'1e-06\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'0.0\', \'0.0\', \'0.0\', \'nearest\', \'0.0\', \'False\', \'False\', \'None\', \'None\', \'None\', \'0.0\'], "
+ }
+ member_method {
+ name: "fit"
+ argspec: "args=[\'self\', \'x\', \'augment\', \'rounds\', \'seed\'], varargs=None, keywords=None, defaults=[\'False\', \'1\', \'None\'], "
+ }
+ member_method {
+ name: "flow"
+ argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'shuffle\', \'seed\', \'save_to_dir\', \'save_prefix\', \'save_format\', \'subset\'], varargs=None, keywords=None, defaults=[\'None\', \'32\', \'True\', \'None\', \'None\', \'\', \'png\', \'None\'], "
+ }
+ member_method {
+ name: "flow_from_directory"
+ argspec: "args=[\'self\', \'directory\', \'target_size\', \'color_mode\', \'classes\', \'class_mode\', \'batch_size\', \'shuffle\', \'seed\', \'save_to_dir\', \'save_prefix\', \'save_format\', \'follow_links\', \'subset\', \'interpolation\'], varargs=None, keywords=None, defaults=[\'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'True\', \'None\', \'None\', \'\', \'png\', \'False\', \'None\', \'nearest\'], "
+ }
+ member_method {
+ name: "random_transform"
+ argspec: "args=[\'self\', \'x\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "standardize"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-iterator.pbtxt
new file mode 100644
index 00000000000..825d9f1d1d6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-iterator.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.preprocessing.image.Iterator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.image.Iterator\'>"
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.Sequence\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'n\', \'batch_size\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt
new file mode 100644
index 00000000000..75924a254a6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.keras.preprocessing.image.NumpyArrayIterator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.image.NumpyArrayIterator\'>"
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.image.Iterator\'>"
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.Sequence\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'x\', \'y\', \'image_data_generator\', \'batch_size\', \'shuffle\', \'seed\', \'data_format\', \'save_to_dir\', \'save_prefix\', \'save_format\', \'subset\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'None\', \'None\', \'\', \'png\', \'None\'], "
+ }
+ member_method {
+ name: "next"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt
new file mode 100644
index 00000000000..6b850dd6b78
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt
@@ -0,0 +1,63 @@
+path: "tensorflow.keras.preprocessing.image"
+tf_module {
+ member {
+ name: "DirectoryIterator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ImageDataGenerator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Iterator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "NumpyArrayIterator"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "apply_transform"
+ argspec: "args=[\'x\', \'transform_matrix\', \'channel_axis\', \'fill_mode\', \'cval\'], varargs=None, keywords=None, defaults=[\'0\', \'nearest\', \'0.0\'], "
+ }
+ member_method {
+ name: "array_to_img"
+ argspec: "args=[\'x\', \'data_format\', \'scale\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+ }
+ member_method {
+ name: "flip_axis"
+ argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "img_to_array"
+ argspec: "args=[\'img\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "load_img"
+ argspec: "args=[\'path\', \'grayscale\', \'target_size\', \'interpolation\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'nearest\'], "
+ }
+ member_method {
+ name: "random_brightness"
+ argspec: "args=[\'x\', \'brightness_range\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "random_channel_shift"
+ argspec: "args=[\'x\', \'intensity\', \'channel_axis\'], varargs=None, keywords=None, defaults=[\'0\'], "
+ }
+ member_method {
+ name: "random_rotation"
+ argspec: "args=[\'x\', \'rg\', \'row_axis\', \'col_axis\', \'channel_axis\', \'fill_mode\', \'cval\'], varargs=None, keywords=None, defaults=[\'1\', \'2\', \'0\', \'nearest\', \'0.0\'], "
+ }
+ member_method {
+ name: "random_shear"
+ argspec: "args=[\'x\', \'intensity\', \'row_axis\', \'col_axis\', \'channel_axis\', \'fill_mode\', \'cval\'], varargs=None, keywords=None, defaults=[\'1\', \'2\', \'0\', \'nearest\', \'0.0\'], "
+ }
+ member_method {
+ name: "random_shift"
+ argspec: "args=[\'x\', \'wrg\', \'hrg\', \'row_axis\', \'col_axis\', \'channel_axis\', \'fill_mode\', \'cval\'], varargs=None, keywords=None, defaults=[\'1\', \'2\', \'0\', \'nearest\', \'0.0\'], "
+ }
+ member_method {
+ name: "random_zoom"
+ argspec: "args=[\'x\', \'zoom_range\', \'row_axis\', \'col_axis\', \'channel_axis\', \'fill_mode\', \'cval\'], varargs=None, keywords=None, defaults=[\'1\', \'2\', \'0\', \'nearest\', \'0.0\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.pbtxt
new file mode 100644
index 00000000000..5a78581fc56
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.keras.preprocessing"
+tf_module {
+ member {
+ name: "image"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "sequence"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "text"
+ mtype: "<type \'module\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt
new file mode 100644
index 00000000000..326b1fa4fda
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.keras.preprocessing.sequence.TimeseriesGenerator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.sequence.TimeseriesGenerator\'>"
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.Sequence\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'data\', \'targets\', \'length\', \'sampling_rate\', \'stride\', \'start_index\', \'end_index\', \'shuffle\', \'reverse\', \'batch_size\'], varargs=None, keywords=None, defaults=[\'1\', \'1\', \'0\', \'None\', \'False\', \'False\', \'128\'], "
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.pbtxt
new file mode 100644
index 00000000000..cf59f8a2726
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.keras.preprocessing.sequence"
+tf_module {
+ member {
+ name: "TimeseriesGenerator"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "make_sampling_table"
+ argspec: "args=[\'size\', \'sampling_factor\'], varargs=None, keywords=None, defaults=[\'1e-05\'], "
+ }
+ member_method {
+ name: "pad_sequences"
+ argspec: "args=[\'sequences\', \'maxlen\', \'dtype\', \'padding\', \'truncating\', \'value\'], varargs=None, keywords=None, defaults=[\'None\', \'int32\', \'pre\', \'pre\', \'0.0\'], "
+ }
+ member_method {
+ name: "skipgrams"
+ argspec: "args=[\'sequence\', \'vocabulary_size\', \'window_size\', \'negative_samples\', \'shuffle\', \'categorical\', \'sampling_table\', \'seed\'], varargs=None, keywords=None, defaults=[\'4\', \'1.0\', \'True\', \'False\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt
new file mode 100644
index 00000000000..b42b12b6c06
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt
@@ -0,0 +1,33 @@
+path: "tensorflow.keras.preprocessing.text.Tokenizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.preprocessing.text.Tokenizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'num_words\', \'filters\', \'lower\', \'split\', \'char_level\', \'oov_token\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\', \'True\', \' \', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "fit_on_sequences"
+ argspec: "args=[\'self\', \'sequences\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "fit_on_texts"
+ argspec: "args=[\'self\', \'texts\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "sequences_to_matrix"
+ argspec: "args=[\'self\', \'sequences\', \'mode\'], varargs=None, keywords=None, defaults=[\'binary\'], "
+ }
+ member_method {
+ name: "texts_to_matrix"
+ argspec: "args=[\'self\', \'texts\', \'mode\'], varargs=None, keywords=None, defaults=[\'binary\'], "
+ }
+ member_method {
+ name: "texts_to_sequences"
+ argspec: "args=[\'self\', \'texts\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "texts_to_sequences_generator"
+ argspec: "args=[\'self\', \'texts\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.pbtxt
new file mode 100644
index 00000000000..50b54fc7e17
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.keras.preprocessing.text"
+tf_module {
+ member {
+ name: "Tokenizer"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "hashing_trick"
+ argspec: "args=[\'text\', \'n\', \'hash_function\', \'filters\', \'lower\', \'split\'], varargs=None, keywords=None, defaults=[\'None\', \'!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\', \'True\', \' \'], "
+ }
+ member_method {
+ name: "one_hot"
+ argspec: "args=[\'text\', \'n\', \'filters\', \'lower\', \'split\'], varargs=None, keywords=None, defaults=[\'!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\', \'True\', \' \'], "
+ }
+ member_method {
+ name: "text_to_word_sequence"
+ argspec: "args=[\'text\', \'filters\', \'lower\', \'split\'], varargs=None, keywords=None, defaults=[\'!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\', \'True\', \' \'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt
new file mode 100644
index 00000000000..a45fb7b55e5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.keras.regularizers.L1L2"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.regularizers.L1L2\'>"
+ is_instance: "<class \'tensorflow.python.keras.regularizers.Regularizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'l1\', \'l2\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\'], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt
new file mode 100644
index 00000000000..641001a6465
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.keras.regularizers.Regularizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.regularizers.Regularizer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.pbtxt
new file mode 100644
index 00000000000..bb10d41d704
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.pbtxt
@@ -0,0 +1,35 @@
+path: "tensorflow.keras.regularizers"
+tf_module {
+ member {
+ name: "L1L2"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Regularizer"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "deserialize"
+ argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "l1"
+ argspec: "args=[\'l\'], varargs=None, keywords=None, defaults=[\'0.01\'], "
+ }
+ member_method {
+ name: "l1_l2"
+ argspec: "args=[\'l1\', \'l2\'], varargs=None, keywords=None, defaults=[\'0.01\', \'0.01\'], "
+ }
+ member_method {
+ name: "l2"
+ argspec: "args=[\'l\'], varargs=None, keywords=None, defaults=[\'0.01\'], "
+ }
+ member_method {
+ name: "serialize"
+ argspec: "args=[\'regularizer\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt
new file mode 100644
index 00000000000..109682046b9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.keras.utils.CustomObjectScope"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.utils.generic_utils.CustomObjectScope\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-generator-enqueuer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-generator-enqueuer.pbtxt
new file mode 100644
index 00000000000..939fd547d06
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-generator-enqueuer.pbtxt
@@ -0,0 +1,26 @@
+path: "tensorflow.keras.utils.GeneratorEnqueuer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.GeneratorEnqueuer\'>"
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.SequenceEnqueuer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'generator\', \'use_multiprocessing\', \'wait_time\', \'seed\'], varargs=None, keywords=None, defaults=[\'False\', \'0.05\', \'None\'], "
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_running"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "start"
+ argspec: "args=[\'self\', \'workers\', \'max_queue_size\'], varargs=None, keywords=None, defaults=[\'1\', \'10\'], "
+ }
+ member_method {
+ name: "stop"
+ argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt
new file mode 100644
index 00000000000..6b832051a97
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.keras.utils.HDF5Matrix"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.utils.io_utils.HDF5Matrix\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ndim"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "refs"
+ mtype: "<type \'collections.defaultdict\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "size"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'datapath\', \'dataset\', \'start\', \'end\', \'normalizer\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt
new file mode 100644
index 00000000000..be4496e753f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt
@@ -0,0 +1,17 @@
+path: "tensorflow.keras.utils.Progbar"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.utils.generic_utils.Progbar\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'target\', \'width\', \'verbose\', \'interval\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'30\', \'1\', \'0.05\', \'None\'], "
+ }
+ member_method {
+ name: "add"
+ argspec: "args=[\'self\', \'n\', \'values\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "update"
+ argspec: "args=[\'self\', \'current\', \'values\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence-enqueuer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence-enqueuer.pbtxt
new file mode 100644
index 00000000000..a9e499d1009
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence-enqueuer.pbtxt
@@ -0,0 +1,24 @@
+path: "tensorflow.keras.utils.SequenceEnqueuer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.SequenceEnqueuer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_running"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "start"
+ argspec: "args=[\'self\', \'workers\', \'max_queue_size\'], varargs=None, keywords=None, defaults=[\'1\', \'10\'], "
+ }
+ member_method {
+ name: "stop"
+ argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt
new file mode 100644
index 00000000000..e2dc932dc86
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.keras.utils.Sequence"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.utils.data_utils.Sequence\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "on_epoch_end"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.pbtxt
new file mode 100644
index 00000000000..4d7a1519ce5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.pbtxt
@@ -0,0 +1,67 @@
+path: "tensorflow.keras.utils"
+tf_module {
+ member {
+ name: "CustomObjectScope"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "GeneratorEnqueuer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "HDF5Matrix"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Progbar"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Sequence"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SequenceEnqueuer"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "convert_all_kernels_in_model"
+ argspec: "args=[\'model\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "custom_object_scope"
+ argspec: "args=[], varargs=args, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "deserialize_keras_object"
+ argspec: "args=[\'identifier\', \'module_objects\', \'custom_objects\', \'printable_module_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'object\'], "
+ }
+ member_method {
+ name: "get_custom_objects"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_file"
+ argspec: "args=[\'fname\', \'origin\', \'untar\', \'md5_hash\', \'file_hash\', \'cache_subdir\', \'hash_algorithm\', \'extract\', \'archive_format\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'None\', \'datasets\', \'auto\', \'False\', \'auto\', \'None\'], "
+ }
+ member_method {
+ name: "multi_gpu_model"
+ argspec: "args=[\'model\', \'gpus\', \'cpu_merge\', \'cpu_relocation\'], varargs=None, keywords=None, defaults=[\'True\', \'False\'], "
+ }
+ member_method {
+ name: "normalize"
+ argspec: "args=[\'x\', \'axis\', \'order\'], varargs=None, keywords=None, defaults=[\'-1\', \'2\'], "
+ }
+ member_method {
+ name: "plot_model"
+ argspec: "args=[\'model\', \'to_file\', \'show_shapes\', \'show_layer_names\', \'rankdir\'], varargs=None, keywords=None, defaults=[\'model.png\', \'False\', \'True\', \'TB\'], "
+ }
+ member_method {
+ name: "serialize_keras_object"
+ argspec: "args=[\'instance\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "to_categorical"
+ argspec: "args=[\'y\', \'num_classes\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.pbtxt
new file mode 100644
index 00000000000..0b2fac9b7d9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.keras.wrappers"
+tf_module {
+ member {
+ name: "scikit_learn"
+ mtype: "<type \'module\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt
new file mode 100644
index 00000000000..67cca3af41d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt
@@ -0,0 +1,42 @@
+path: "tensorflow.keras.wrappers.scikit_learn.KerasClassifier"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.KerasClassifier\'>"
+ is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.BaseWrapper\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'build_fn\'], varargs=None, keywords=sk_params, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "check_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "filter_sk_params"
+ argspec: "args=[\'self\', \'fn\', \'override\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "fit"
+ argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "get_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "predict_proba"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "score"
+ argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt
new file mode 100644
index 00000000000..f4b9b7e277e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt
@@ -0,0 +1,38 @@
+path: "tensorflow.keras.wrappers.scikit_learn.KerasRegressor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.KerasRegressor\'>"
+ is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.BaseWrapper\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'build_fn\'], varargs=None, keywords=sk_params, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "check_params"
+ argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "filter_sk_params"
+ argspec: "args=[\'self\', \'fn\', \'override\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "fit"
+ argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "get_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None"
+ }
+ member_method {
+ name: "predict"
+ argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "score"
+ argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "set_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.pbtxt
new file mode 100644
index 00000000000..fbd4d13387a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.keras.wrappers.scikit_learn"
+tf_module {
+ member {
+ name: "KerasClassifier"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "KerasRegressor"
+ mtype: "<type \'type\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling1-d.pbtxt
new file mode 100644
index 00000000000..c82e67526b2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling1-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.AveragePooling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling2-d.pbtxt
new file mode 100644
index 00000000000..1d031cb5f84
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling2-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.AveragePooling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling3-d.pbtxt
new file mode 100644
index 00000000000..a8dda6655df
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling3-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.AveragePooling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-batch-normalization.pbtxt
new file mode 100644
index 00000000000..97f65ed8943
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-batch-normalization.pbtxt
@@ -0,0 +1,185 @@
+path: "tensorflow.layers.BatchNormalization"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.normalization.BatchNormalization\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalization\'>"
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+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv1-d.pbtxt
new file mode 100644
index 00000000000..ccd9578f0d6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv1-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.Conv1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.Conv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
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+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d-transpose.pbtxt
new file mode 100644
index 00000000000..9cbb58d721b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d-transpose.pbtxt
@@ -0,0 +1,187 @@
+path: "tensorflow.layers.Conv2DTranspose"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d.pbtxt
new file mode 100644
index 00000000000..c75ea3911e1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.Conv2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
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+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ mtype: "<type \'property\'>"
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+ }
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d-transpose.pbtxt
new file mode 100644
index 00000000000..5dc834e5141
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d-transpose.pbtxt
@@ -0,0 +1,187 @@
+path: "tensorflow.layers.Conv3DTranspose"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d.pbtxt
new file mode 100644
index 00000000000..96ab209874a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.Conv3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-dense.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dense.pbtxt
new file mode 100644
index 00000000000..7e9656b3525
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dense.pbtxt
@@ -0,0 +1,185 @@
+path: "tensorflow.layers.Dense"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.core.Dense\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dense\'>"
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+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dropout.pbtxt
new file mode 100644
index 00000000000..e9a2269a6e8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dropout.pbtxt
@@ -0,0 +1,185 @@
+path: "tensorflow.layers.Dropout"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.core.Dropout\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'rate\', \'noise_shape\', \'seed\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.5\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-flatten.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-flatten.pbtxt
new file mode 100644
index 00000000000..7d2eaaab2a8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-flatten.pbtxt
@@ -0,0 +1,185 @@
+path: "tensorflow.layers.Flatten"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.core.Flatten\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.core.Flatten\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_input_at"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-input-spec.pbtxt
new file mode 100644
index 00000000000..fd02c919aeb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-input-spec.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.layers.InputSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.InputSpec\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-layer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-layer.pbtxt
new file mode 100644
index 00000000000..8bc3eb26e9c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-layer.pbtxt
@@ -0,0 +1,183 @@
+path: "tensorflow.layers.Layer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'trainable\', \'name\', \'dtype\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
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+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ }
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+ name: "call"
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+ }
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+ }
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+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "from_config"
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+ }
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
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+ }
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+ name: "get_input_mask_at"
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+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling1-d.pbtxt
new file mode 100644
index 00000000000..6a0dcce56ac
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling1-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.MaxPooling1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling2-d.pbtxt
new file mode 100644
index 00000000000..b6c84edf2a2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling2-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.MaxPooling2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
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+ name: "build"
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+ }
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+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_input_at"
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+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling3-d.pbtxt
new file mode 100644
index 00000000000..062a02fa590
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling3-d.pbtxt
@@ -0,0 +1,186 @@
+path: "tensorflow.layers.MaxPooling3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling3D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
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+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv1-d.pbtxt
new file mode 100644
index 00000000000..eaad0fb23ef
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv1-d.pbtxt
@@ -0,0 +1,187 @@
+path: "tensorflow.layers.SeparableConv1D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.SeparableConv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv1D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "variables"
+ mtype: "<type \'property\'>"
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+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv2-d.pbtxt
new file mode 100644
index 00000000000..ece28a8ce96
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv2-d.pbtxt
@@ -0,0 +1,187 @@
+path: "tensorflow.layers.SeparableConv2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.layers.convolutional.SeparableConv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv2D\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>"
+ is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "output_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "add_loss"
+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_update"
+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "call"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "compute_output_shape"
+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "count_params"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_mask_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.pbtxt
new file mode 100644
index 00000000000..df74c32e1f1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.pbtxt
@@ -0,0 +1,147 @@
+path: "tensorflow.layers"
+tf_module {
+ member {
+ name: "AveragePooling1D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "AveragePooling2D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "AveragePooling3D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "BatchNormalization"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Conv1D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Conv2D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Conv2DTranspose"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Conv3D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Conv3DTranspose"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Dense"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Dropout"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Flatten"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "InputSpec"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Layer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MaxPooling1D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MaxPooling2D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MaxPooling3D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SeparableConv1D"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SeparableConv2D"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "average_pooling1d"
+ argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "average_pooling2d"
+ argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "average_pooling3d"
+ argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "batch_normalization"
+ argspec: "args=[\'inputs\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', \'beta_constraint\', \'gamma_constraint\', \'training\', \'trainable\', \'name\', \'reuse\', \'renorm\', \'renorm_clipping\', \'renorm_momentum\', \'fused\', \'virtual_batch_size\', \'adjustment\'], varargs=None, keywords=None, defaults=[\'-1\', \'0.99\', \'0.001\', \'True\', \'True\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'<tensorflow.python.ops.init_ops.Ones object instance>\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'<tensorflow.python.ops.init_ops.Ones object instance>\', \'None\', \'None\', \'None\', \'None\', \'False\', \'True\', \'None\', \'None\', \'False\', \'None\', \'0.99\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv1d"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv2d"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv2d_transpose"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv3d"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'(1, 1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv3d_transpose"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "dense"
+ argspec: "args=[\'inputs\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "dropout"
+ argspec: "args=[\'inputs\', \'rate\', \'noise_shape\', \'seed\', \'training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'None\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "flatten"
+ argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "max_pooling1d"
+ argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "max_pooling2d"
+ argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "max_pooling3d"
+ argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], "
+ }
+ member_method {
+ name: "separable_conv1d"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "separable_conv2d"
+ argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt
new file mode 100644
index 00000000000..b6dee631760
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorBlockDiag.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.pbtxt
new file mode 100644
index 00000000000..973705dae2f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.pbtxt
@@ -0,0 +1,134 @@
+path: "tensorflow.linalg.LinearOperatorBlockDiag"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_block_diag.LinearOperatorBlockDiag\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "operators"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'operators\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt
new file mode 100644
index 00000000000..3b33f3da97e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorCirculant.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.pbtxt
new file mode 100644
index 00000000000..de917706d55
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.pbtxt
@@ -0,0 +1,155 @@
+path: "tensorflow.linalg.LinearOperatorCirculant"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant.LinearOperatorCirculant\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant._BaseLinearOperatorCirculant\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "block_depth"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "block_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "spectrum"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'spectrum\', \'input_output_dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\', \'None\', \'None\', \'True\', \'LinearOperatorCirculant\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_hermitian_spectrum"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_hermitian_spectrum\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "block_shape_tensor"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "convolution_kernel"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'convolution_kernel\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt
new file mode 100644
index 00000000000..591bc9631a1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorCirculant2D.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt
new file mode 100644
index 00000000000..c4e6a21c3ac
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt
@@ -0,0 +1,155 @@
+path: "tensorflow.linalg.LinearOperatorCirculant2D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant.LinearOperatorCirculant2D\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant._BaseLinearOperatorCirculant\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "block_depth"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "block_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "spectrum"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'spectrum\', \'input_output_dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\', \'None\', \'None\', \'True\', \'LinearOperatorCirculant2D\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_hermitian_spectrum"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_hermitian_spectrum\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "block_shape_tensor"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "convolution_kernel"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'convolution_kernel\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt
new file mode 100644
index 00000000000..d643139a53f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorCirculant3D.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt
new file mode 100644
index 00000000000..2e085a8e289
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt
@@ -0,0 +1,155 @@
+path: "tensorflow.linalg.LinearOperatorCirculant3D"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant.LinearOperatorCirculant3D\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant._BaseLinearOperatorCirculant\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "block_depth"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "block_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "spectrum"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'spectrum\', \'input_output_dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\', \'None\', \'None\', \'True\', \'LinearOperatorCirculant3D\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_hermitian_spectrum"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_hermitian_spectrum\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "block_shape_tensor"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "convolution_kernel"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'convolution_kernel\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt
new file mode 100644
index 00000000000..1adbcb41adf
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorComposition.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.pbtxt
new file mode 100644
index 00000000000..42d22bce42d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.pbtxt
@@ -0,0 +1,134 @@
+path: "tensorflow.linalg.LinearOperatorComposition"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_composition.LinearOperatorComposition\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "operators"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'operators\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt
new file mode 100644
index 00000000000..023d90ccdba
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorDiag.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.pbtxt
new file mode 100644
index 00000000000..d6749fdcec6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.pbtxt
@@ -0,0 +1,134 @@
+path: "tensorflow.linalg.LinearOperatorDiag"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_diag.LinearOperatorDiag\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "diag"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'diag\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'LinearOperatorDiag\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt
new file mode 100644
index 00000000000..381072e76c4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorFullMatrix.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.pbtxt
new file mode 100644
index 00000000000..d9f363d1336
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.pbtxt
@@ -0,0 +1,130 @@
+path: "tensorflow.linalg.LinearOperatorFullMatrix"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_full_matrix.LinearOperatorFullMatrix\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'matrix\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'LinearOperatorFullMatrix\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt
new file mode 100644
index 00000000000..5d115b35fb7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorIdentity.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.pbtxt
new file mode 100644
index 00000000000..aac7ee31ed6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.pbtxt
@@ -0,0 +1,131 @@
+path: "tensorflow.linalg.LinearOperatorIdentity"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.LinearOperatorIdentity\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.BaseLinearOperatorIdentity\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'num_rows\', \'batch_shape\', \'dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'True\', \'True\', \'True\', \'False\', \'LinearOperatorIdentity\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt
new file mode 100644
index 00000000000..5c6784dd021
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorKronecker.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.pbtxt
new file mode 100644
index 00000000000..c11d3908293
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.pbtxt
@@ -0,0 +1,134 @@
+path: "tensorflow.linalg.LinearOperatorKronecker"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_kronecker.LinearOperatorKronecker\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "operators"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'operators\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt
new file mode 100644
index 00000000000..1f0d33298a2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorLowRankUpdate.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt
new file mode 100644
index 00000000000..3ee800269e6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt
@@ -0,0 +1,154 @@
+path: "tensorflow.linalg.LinearOperatorLowRankUpdate"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_low_rank_update.LinearOperatorLowRankUpdate\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "base_operator"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "diag_operator"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "diag_update"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_diag_update_positive"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "u"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "v"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'base_operator\', \'u\', \'diag_update\', \'v\', \'is_diag_update_positive\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'LinearOperatorLowRankUpdate\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt
new file mode 100644
index 00000000000..2683430f4fc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorLowerTriangular.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt
new file mode 100644
index 00000000000..63a1bc2321e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt
@@ -0,0 +1,130 @@
+path: "tensorflow.linalg.LinearOperatorLowerTriangular"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_lower_triangular.LinearOperatorLowerTriangular\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'tril\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'LinearOperatorLowerTriangular\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt
new file mode 100644
index 00000000000..38bf7ad586a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorScaledIdentity.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt
new file mode 100644
index 00000000000..e2c5a505a7d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt
@@ -0,0 +1,135 @@
+path: "tensorflow.linalg.LinearOperatorScaledIdentity"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.LinearOperatorScaledIdentity\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.BaseLinearOperatorIdentity\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "multiplier"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'num_rows\', \'multiplier\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'False\', \'LinearOperatorScaledIdentity\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt
new file mode 100644
index 00000000000..49ff85728ff
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperatorZeros.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.pbtxt
new file mode 100644
index 00000000000..a1b0e06b475
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.pbtxt
@@ -0,0 +1,130 @@
+path: "tensorflow.linalg.LinearOperatorZeros"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_zeros.LinearOperatorZeros\'>"
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'True\', \'False\', \'True\', \'False\', \'LinearOperatorZeros\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt
new file mode 100644
index 00000000000..38da809b360
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.linalg.LinearOperator.__metaclass__"
+tf_class {
+ is_instance: "<class \'abc.ABCMeta\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "mro"
+ }
+ member_method {
+ name: "register"
+ argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.pbtxt
new file mode 100644
index 00000000000..6d849dc040f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.pbtxt
@@ -0,0 +1,129 @@
+path: "tensorflow.linalg.LinearOperator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "batch_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "domain_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph_parents"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_non_singular"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_positive_definite"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_self_adjoint"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_square"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "range_dimension"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "tensor_rank"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\', \'graph_parents\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_to_tensor"
+ argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
+ }
+ member_method {
+ name: "assert_non_singular"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
+ }
+ member_method {
+ name: "assert_positive_definite"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
+ }
+ member_method {
+ name: "assert_self_adjoint"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
+ }
+ member_method {
+ name: "batch_shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
+ }
+ member_method {
+ name: "determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
+ }
+ member_method {
+ name: "domain_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
+ }
+ member_method {
+ name: "log_abs_determinant"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
+ }
+ member_method {
+ name: "matmul"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
+ }
+ member_method {
+ name: "matvec"
+ argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
+ }
+ member_method {
+ name: "range_dimension_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
+ }
+ member_method {
+ name: "shape_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
+ }
+ member_method {
+ name: "solve"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
+ }
+ member_method {
+ name: "solvevec"
+ argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
+ }
+ member_method {
+ name: "tensor_rank_tensor"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
+ }
+ member_method {
+ name: "to_dense"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
+ }
+ member_method {
+ name: "trace"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.pbtxt
new file mode 100644
index 00000000000..d979116887a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.pbtxt
@@ -0,0 +1,175 @@
+path: "tensorflow.linalg"
+tf_module {
+ member {
+ name: "LinearOperator"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorBlockDiag"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorCirculant"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorCirculant2D"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorCirculant3D"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorComposition"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorDiag"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorFullMatrix"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorIdentity"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorKronecker"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorLowRankUpdate"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorLowerTriangular"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorScaledIdentity"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member {
+ name: "LinearOperatorZeros"
+ mtype: "<class \'abc.ABCMeta\'>"
+ }
+ member_method {
+ name: "adjoint"
+ argspec: "args=[\'matrix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "band_part"
+ argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "cholesky"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "cholesky_solve"
+ argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "cross"
+ argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "det"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "diag"
+ argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "diag_part"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "eigh"
+ argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "eigvalsh"
+ argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "einsum"
+ argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "expm"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "eye"
+ argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
+ }
+ member_method {
+ name: "inv"
+ argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "logdet"
+ argspec: "args=[\'matrix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "logm"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.logging.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.logging.pbtxt
new file mode 100644
index 00000000000..85bb15455da
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.logging.pbtxt
@@ -0,0 +1,83 @@
+path: "tensorflow.logging"
+tf_module {
+ member {
+ name: "DEBUG"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "ERROR"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "FATAL"
+ mtype: "<type \'int\'>"
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+ name: "INFO"
+ mtype: "<type \'int\'>"
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+ mtype: "<type \'int\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.losses.-reduction.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.losses.-reduction.pbtxt
new file mode 100644
index 00000000000..258ad5047eb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.losses.-reduction.pbtxt
@@ -0,0 +1,40 @@
+path: "tensorflow.losses.Reduction"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.losses.losses_impl.Reduction\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "MEAN"
+ mtype: "<type \'str\'>"
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+ mtype: "<type \'str\'>"
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+ mtype: "<type \'str\'>"
+ }
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+ mtype: "<type \'str\'>"
+ }
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+ mtype: "<type \'str\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.losses.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.losses.pbtxt
new file mode 100644
index 00000000000..c1d190ae116
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.losses.pbtxt
@@ -0,0 +1,71 @@
+path: "tensorflow.losses"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.manip.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.manip.pbtxt
new file mode 100644
index 00000000000..9add462396e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.manip.pbtxt
@@ -0,0 +1,35 @@
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.math.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.math.pbtxt
new file mode 100644
index 00000000000..a308c76ebc0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.math.pbtxt
@@ -0,0 +1,239 @@
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.metrics.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.metrics.pbtxt
new file mode 100644
index 00000000000..e9b996c9f53
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.metrics.pbtxt
@@ -0,0 +1,135 @@
+path: "tensorflow.metrics"
+tf_module {
+ member_method {
+ name: "accuracy"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "auc"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'num_thresholds\', \'metrics_collections\', \'updates_collections\', \'curve\', \'name\', \'summation_method\'], varargs=None, keywords=None, defaults=[\'None\', \'200\', \'None\', \'None\', \'ROC\', \'None\', \'trapezoidal\'], "
+ }
+ member_method {
+ name: "average_precision_at_k"
+ argspec: "args=[\'labels\', \'predictions\', \'k\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "false_negatives"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "false_negatives_at_thresholds"
+ argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "false_positives"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "false_positives_at_thresholds"
+ argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean"
+ argspec: "args=[\'values\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_absolute_error"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_cosine_distance"
+ argspec: "args=[\'labels\', \'predictions\', \'dim\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_iou"
+ argspec: "args=[\'labels\', \'predictions\', \'num_classes\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_per_class_accuracy"
+ argspec: "args=[\'labels\', \'predictions\', \'num_classes\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_relative_error"
+ argspec: "args=[\'labels\', \'predictions\', \'normalizer\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_squared_error"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "mean_tensor"
+ argspec: "args=[\'values\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "percentage_below"
+ argspec: "args=[\'values\', \'threshold\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "precision"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "precision_at_k"
+ argspec: "args=[\'labels\', \'predictions\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "precision_at_thresholds"
+ argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "precision_at_top_k"
+ argspec: "args=[\'labels\', \'predictions_idx\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "recall"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "recall_at_k"
+ argspec: "args=[\'labels\', \'predictions\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "recall_at_thresholds"
+ argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "recall_at_top_k"
+ argspec: "args=[\'labels\', \'predictions_idx\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "root_mean_squared_error"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "sensitivity_at_specificity"
+ argspec: "args=[\'labels\', \'predictions\', \'specificity\', \'weights\', \'num_thresholds\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'200\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "sparse_average_precision_at_k"
+ argspec: "args=[\'labels\', \'predictions\', \'k\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "sparse_precision_at_k"
+ argspec: "args=[\'labels\', \'predictions\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "specificity_at_sensitivity"
+ argspec: "args=[\'labels\', \'predictions\', \'sensitivity\', \'weights\', \'num_thresholds\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'200\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "true_negatives"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "true_negatives_at_thresholds"
+ argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "true_positives"
+ argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "true_positives_at_thresholds"
+ argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.name_scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.name_scope.pbtxt
new file mode 100644
index 00000000000..80418970132
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.name_scope.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.name_scope"
+tf_class {
+ is_instance: "<class \'tensorflow.python.framework.ops.name_scope\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name\', \'default_name\', \'values\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.pbtxt
new file mode 100644
index 00000000000..d9e5b0d0fca
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.pbtxt
@@ -0,0 +1,359 @@
+path: "tensorflow.nn"
+tf_module {
+ member {
+ name: "rnn_cell"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "swish"
+ mtype: "<class \'tensorflow.python.framework.function._OverloadedFunction\'>"
+ }
+ member_method {
+ name: "all_candidate_sampler"
+ argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "atrous_conv2d"
+ argspec: "args=[\'value\', \'filters\', \'rate\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "atrous_conv2d_transpose"
+ argspec: "args=[\'value\', \'filters\', \'output_shape\', \'rate\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "avg_pool"
+ argspec: "args=[\'value\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
+ }
+ member_method {
+ name: "avg_pool3d"
+ argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], "
+ }
+ member_method {
+ name: "batch_norm_with_global_normalization"
+ argspec: "args=[\'t\', \'m\', \'v\', \'beta\', \'gamma\', \'variance_epsilon\', \'scale_after_normalization\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "batch_normalization"
+ argspec: "args=[\'x\', \'mean\', \'variance\', \'offset\', \'scale\', \'variance_epsilon\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "bias_add"
+ argspec: "args=[\'value\', \'bias\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "bidirectional_dynamic_rnn"
+ argspec: "args=[\'cell_fw\', \'cell_bw\', \'inputs\', \'sequence_length\', \'initial_state_fw\', \'initial_state_bw\', \'dtype\', \'parallel_iterations\', \'swap_memory\', \'time_major\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "compute_accidental_hits"
+ argspec: "args=[\'true_classes\', \'sampled_candidates\', \'num_true\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv1d"
+ argspec: "args=[\'value\', \'filters\', \'stride\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "conv2d"
+ argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "conv2d_backprop_filter"
+ argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "conv2d_backprop_input"
+ argspec: "args=[\'input_sizes\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "conv2d_transpose"
+ argspec: "args=[\'value\', \'filter\', \'output_shape\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'SAME\', \'NHWC\', \'None\'], "
+ }
+ member_method {
+ name: "conv3d"
+ argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'[1, 1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "conv3d_backprop_filter_v2"
+ argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'[1, 1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "conv3d_transpose"
+ argspec: "args=[\'value\', \'filter\', \'output_shape\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'SAME\', \'NDHWC\', \'None\'], "
+ }
+ member_method {
+ name: "convolution"
+ argspec: "args=[\'input\', \'filter\', \'padding\', \'strides\', \'dilation_rate\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "crelu"
+ argspec: "args=[\'features\', \'name\', \'axis\'], varargs=None, keywords=None, defaults=[\'None\', \'-1\'], "
+ }
+ member_method {
+ name: "ctc_beam_search_decoder"
+ argspec: "args=[\'inputs\', \'sequence_length\', \'beam_width\', \'top_paths\', \'merge_repeated\'], varargs=None, keywords=None, defaults=[\'100\', \'1\', \'True\'], "
+ }
+ member_method {
+ name: "ctc_greedy_decoder"
+ argspec: "args=[\'inputs\', \'sequence_length\', \'merge_repeated\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+ member_method {
+ name: "ctc_loss"
+ argspec: "args=[\'labels\', \'inputs\', \'sequence_length\', \'preprocess_collapse_repeated\', \'ctc_merge_repeated\', \'ignore_longer_outputs_than_inputs\', \'time_major\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'False\', \'True\'], "
+ }
+ member_method {
+ name: "depthwise_conv2d"
+ argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'rate\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "depthwise_conv2d_native"
+ argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "depthwise_conv2d_native_backprop_filter"
+ argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "depthwise_conv2d_native_backprop_input"
+ argspec: "args=[\'input_sizes\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
+ }
+ member_method {
+ name: "dilation2d"
+ argspec: "args=[\'input\', \'filter\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "dropout"
+ argspec: "args=[\'x\', \'keep_prob\', \'noise_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "dynamic_rnn"
+ argspec: "args=[\'cell\', \'inputs\', \'sequence_length\', \'initial_state\', \'dtype\', \'parallel_iterations\', \'swap_memory\', \'time_major\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "elu"
+ argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "embedding_lookup"
+ argspec: "args=[\'params\', \'ids\', \'partition_strategy\', \'name\', \'validate_indices\', \'max_norm\'], varargs=None, keywords=None, defaults=[\'mod\', \'None\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "embedding_lookup_sparse"
+ argspec: "args=[\'params\', \'sp_ids\', \'sp_weights\', \'partition_strategy\', \'name\', \'combiner\', \'max_norm\'], varargs=None, keywords=None, defaults=[\'mod\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "erosion2d"
+ argspec: "args=[\'value\', \'kernel\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "fixed_unigram_candidate_sampler"
+ argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'vocab_file\', \'distortion\', \'num_reserved_ids\', \'num_shards\', \'shard\', \'unigrams\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'1.0\', \'0\', \'1\', \'0\', \'()\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "fractional_avg_pool"
+ argspec: "args=[\'value\', \'pooling_ratio\', \'pseudo_random\', \'overlapping\', \'deterministic\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'0\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "fractional_max_pool"
+ argspec: "args=[\'value\', \'pooling_ratio\', \'pseudo_random\', \'overlapping\', \'deterministic\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'0\', \'0\', \'None\'], "
+ }
+ member_method {
+ name: "fused_batch_norm"
+ argspec: "args=[\'x\', \'scale\', \'offset\', \'mean\', \'variance\', \'epsilon\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0.001\', \'NHWC\', \'True\', \'None\'], "
+ }
+ member_method {
+ name: "in_top_k"
+ argspec: "args=[\'predictions\', \'targets\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "l2_loss"
+ argspec: "args=[\'t\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "l2_normalize"
+ argspec: "args=[\'x\', \'axis\', \'epsilon\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'1e-12\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "leaky_relu"
+ argspec: "args=[\'features\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'0.2\', \'None\'], "
+ }
+ member_method {
+ name: "learned_unigram_candidate_sampler"
+ argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "local_response_normalization"
+ argspec: "args=[\'input\', \'depth_radius\', \'bias\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'5\', \'1\', \'1\', \'0.5\', \'None\'], "
+ }
+ member_method {
+ name: "log_poisson_loss"
+ argspec: "args=[\'targets\', \'log_input\', \'compute_full_loss\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "log_softmax"
+ argspec: "args=[\'logits\', \'axis\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "log_uniform_candidate_sampler"
+ argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "lrn"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt
new file mode 100644
index 00000000000..c74773000aa
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt
@@ -0,0 +1,198 @@
+path: "tensorflow.nn.rnn_cell.BasicLSTMCell"
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+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.BasicLSTMCell\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt
new file mode 100644
index 00000000000..d251f548069
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt
@@ -0,0 +1,198 @@
+path: "tensorflow.nn.rnn_cell.BasicRNNCell"
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+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.BasicRNNCell\'>"
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+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "zero_state"
+ argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt
new file mode 100644
index 00000000000..8a63b491800
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt
@@ -0,0 +1,197 @@
+path: "tensorflow.nn.rnn_cell.DeviceWrapper"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DeviceWrapper\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
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+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
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+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ mtype: "<type \'property\'>"
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+ name: "output_mask"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_size"
+ mtype: "<type \'property\'>"
+ }
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+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "state_size"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'cell\', \'device\'], varargs=None, keywords=None, defaults=None"
+ }
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+ argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ name: "build"
+ argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None"
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "zero_state"
+ argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt
new file mode 100644
index 00000000000..db1aae27579
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt
@@ -0,0 +1,201 @@
+path: "tensorflow.nn.rnn_cell.DropoutWrapper"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DropoutWrapper\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "outbound_nodes"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "output_size"
+ mtype: "<type \'property\'>"
+ }
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+ name: "scope_name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "state_size"
+ mtype: "<type \'property\'>"
+ }
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+ name: "trainable_variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
+ }
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+ name: "updates"
+ mtype: "<type \'property\'>"
+ }
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+ name: "variables"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "weights"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "wrapped_cell"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'cell\', \'input_keep_prob\', \'output_keep_prob\', \'state_keep_prob\', \'variational_recurrent\', \'input_size\', \'dtype\', \'seed\', \'dropout_state_filter_visitor\'], varargs=None, keywords=None, defaults=[\'1.0\', \'1.0\', \'1.0\', \'False\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ name: "add_loss"
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+ name: "add_update"
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+ }
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+ name: "add_variable"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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+ name: "add_weight"
+ argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+ }
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+ }
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+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "get_output_shape_at"
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
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+ }
+ member_method {
+ name: "zero_state"
+ argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt
new file mode 100644
index 00000000000..d76eab7eb87
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt
@@ -0,0 +1,198 @@
+path: "tensorflow.nn.rnn_cell.GRUCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.GRUCell\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LayerRNNCell\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
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+ name: "input_shape"
+ mtype: "<type \'property\'>"
+ }
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+ name: "losses"
+ mtype: "<type \'property\'>"
+ }
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+ name: "name"
+ mtype: "<type \'property\'>"
+ }
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+ name: "non_trainable_variables"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "output_size"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "state_size"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
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+ name: "trainable_weights"
+ mtype: "<type \'property\'>"
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+ name: "updates"
+ mtype: "<type \'property\'>"
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+ mtype: "<type \'property\'>"
+ }
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+ name: "__init__"
+ argspec: "args=[\'self\', \'num_units\', \'activation\', \'reuse\', \'kernel_initializer\', \'bias_initializer\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
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+ }
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+ name: "add_weight"
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+ }
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+ name: "build"
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+ }
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+ name: "call"
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+ }
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+ name: "compute_mask"
+ argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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+ name: "get_input_at"
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+ }
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+ name: "get_input_shape_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_losses_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_output_at"
+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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+ name: "get_output_mask_at"
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+ argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_updates_for"
+ argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "get_weights"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
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+ name: "set_weights"
+ argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "zero_state"
+ argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt
new file mode 100644
index 00000000000..944db6ac937
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt
@@ -0,0 +1,198 @@
+path: "tensorflow.nn.rnn_cell.LSTMCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMCell\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LayerRNNCell\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "activity_regularizer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "dtype"
+ mtype: "<type \'property\'>"
+ }
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+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "inbound_nodes"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_mask"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "input_shape"
+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt
new file mode 100644
index 00000000000..1de8a55dcca
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.nn.rnn_cell.LSTMStateTuple"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMStateTuple\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMStateTuple\'>"
+ is_instance: "<type \'tuple\'>"
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+ name: "c"
+ mtype: "<type \'property\'>"
+ }
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+ name: "dtype"
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+ name: "h"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
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+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt
new file mode 100644
index 00000000000..72b40cc9f7a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt
@@ -0,0 +1,197 @@
+path: "tensorflow.nn.rnn_cell.MultiRNNCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.MultiRNNCell\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt
new file mode 100644
index 00000000000..a5c2b4aefd6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt
@@ -0,0 +1,196 @@
+path: "tensorflow.nn.rnn_cell.RNNCell"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
+ is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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+ mtype: "<type \'property\'>"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt
new file mode 100644
index 00000000000..61d5f04b22a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt
@@ -0,0 +1,197 @@
+path: "tensorflow.nn.rnn_cell.ResidualWrapper"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.ResidualWrapper\'>"
+ is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
+ is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
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new file mode 100644
index 00000000000..64697e8a02b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.pbtxt
@@ -0,0 +1,43 @@
+path: "tensorflow.nn.rnn_cell"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.ones_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.ones_initializer.pbtxt
new file mode 100644
index 00000000000..210b56242b2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.ones_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.ones_initializer"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.orthogonal_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.orthogonal_initializer.pbtxt
new file mode 100644
index 00000000000..13ec7454f41
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.orthogonal_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.orthogonal_initializer"
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diff --git a/tensorflow/tools/api/golden/v2/tensorflow.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.pbtxt
new file mode 100644
index 00000000000..5eb42b4db3c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.pbtxt
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+ name: "subtract"
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+ }
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+ name: "svd"
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+ name: "tables_initializer"
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+ name: "tan"
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+ name: "tensordot"
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+ name: "tuple"
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+ name: "unique"
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+ name: "where"
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+ name: "while_loop"
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+ }
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+ name: "write_file"
+ argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "zeros"
+ argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
+ }
+ member_method {
+ name: "zeros_like"
+ argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "zeta"
+ argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checker.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checker.pbtxt
new file mode 100644
index 00000000000..e09c44cc9ce
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checker.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.profiler.AdviceProto.Checker"
+tf_proto {
+ descriptor {
+ name: "Checker"
+ field {
+ name: "reports"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt
new file mode 100644
index 00000000000..87462435496
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.profiler.AdviceProto.CheckersEntry"
+tf_proto {
+ descriptor {
+ name: "CheckersEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.AdviceProto.Checker"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.pbtxt
new file mode 100644
index 00000000000..a8a8858ccd5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.pbtxt
@@ -0,0 +1,41 @@
+path: "tensorflow.profiler.AdviceProto"
+tf_proto {
+ descriptor {
+ name: "AdviceProto"
+ field {
+ name: "checkers"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.AdviceProto.CheckersEntry"
+ }
+ nested_type {
+ name: "CheckersEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.AdviceProto.Checker"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ nested_type {
+ name: "Checker"
+ field {
+ name: "reports"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt
new file mode 100644
index 00000000000..afec73f537a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.profiler.GraphNodeProto.InputShapesEntry"
+tf_proto {
+ descriptor {
+ name: "InputShapesEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.pbtxt
new file mode 100644
index 00000000000..3c831770053
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.pbtxt
@@ -0,0 +1,191 @@
+path: "tensorflow.profiler.GraphNodeProto"
+tf_proto {
+ descriptor {
+ name: "GraphNodeProto"
+ field {
+ name: "name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tensor_value"
+ number: 15
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.TFProfTensorProto"
+ }
+ field {
+ name: "run_count"
+ number: 21
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "exec_micros"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "accelerator_exec_micros"
+ number: 17
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "cpu_exec_micros"
+ number: 18
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "requested_bytes"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "peak_bytes"
+ number: 24
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "residual_bytes"
+ number: 25
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "output_bytes"
+ number: 26
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "parameters"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "float_ops"
+ number: 13
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "devices"
+ number: 10
+ label: LABEL_REPEATED
+ type: TYPE_STRING
+ }
+ field {
+ name: "total_definition_count"
+ number: 23
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_run_count"
+ number: 22
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_exec_micros"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_accelerator_exec_micros"
+ number: 19
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_cpu_exec_micros"
+ number: 20
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_requested_bytes"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_peak_bytes"
+ number: 27
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_residual_bytes"
+ number: 28
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_output_bytes"
+ number: 29
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_parameters"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_float_ops"
+ number: 14
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "shapes"
+ number: 11
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ }
+ field {
+ name: "input_shapes"
+ number: 16
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.GraphNodeProto.InputShapesEntry"
+ }
+ field {
+ name: "children"
+ number: 12
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.GraphNodeProto"
+ }
+ nested_type {
+ name: "InputShapesEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorShapeProto"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-multi-graph-node-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-multi-graph-node-proto.pbtxt
new file mode 100644
index 00000000000..2b08a05437f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-multi-graph-node-proto.pbtxt
@@ -0,0 +1,134 @@
+path: "tensorflow.profiler.MultiGraphNodeProto"
+tf_proto {
+ descriptor {
+ name: "MultiGraphNodeProto"
+ field {
+ name: "name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "exec_micros"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "accelerator_exec_micros"
+ number: 12
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "cpu_exec_micros"
+ number: 13
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "requested_bytes"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "peak_bytes"
+ number: 16
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "residual_bytes"
+ number: 17
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "output_bytes"
+ number: 18
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "parameters"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "float_ops"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_exec_micros"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_accelerator_exec_micros"
+ number: 14
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_cpu_exec_micros"
+ number: 15
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_requested_bytes"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_peak_bytes"
+ number: 19
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_residual_bytes"
+ number: 20
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_output_bytes"
+ number: 21
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_parameters"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "total_float_ops"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "graph_nodes"
+ number: 10
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.GraphNodeProto"
+ }
+ field {
+ name: "children"
+ number: 11
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.MultiGraphNodeProto"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt
new file mode 100644
index 00000000000..b3adc50c7e1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.profiler.OpLogProto.IdToStringEntry"
+tf_proto {
+ descriptor {
+ name: "IdToStringEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.pbtxt
new file mode 100644
index 00000000000..7510c566ba5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.pbtxt
@@ -0,0 +1,38 @@
+path: "tensorflow.profiler.OpLogProto"
+tf_proto {
+ descriptor {
+ name: "OpLogProto"
+ field {
+ name: "log_entries"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.OpLogEntry"
+ }
+ field {
+ name: "id_to_string"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.tfprof.OpLogProto.IdToStringEntry"
+ }
+ nested_type {
+ name: "IdToStringEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profile-option-builder.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profile-option-builder.pbtxt
new file mode 100644
index 00000000000..19ff38a3900
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profile-option-builder.pbtxt
@@ -0,0 +1,93 @@
+path: "tensorflow.profiler.ProfileOptionBuilder"
+tf_class {
+ is_instance: "<class \'tensorflow.python.profiler.option_builder.ProfileOptionBuilder\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "account_displayed_op_only"
+ argspec: "args=[\'self\', \'is_true\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "float_operation"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "order_by"
+ argspec: "args=[\'self\', \'attribute\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "select"
+ argspec: "args=[\'self\', \'attributes\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "time_and_memory"
+ argspec: "args=[\'min_micros\', \'min_bytes\', \'min_accelerator_micros\', \'min_cpu_micros\', \'min_peak_bytes\', \'min_residual_bytes\', \'min_output_bytes\'], varargs=None, keywords=None, defaults=[\'1\', \'1\', \'0\', \'0\', \'0\', \'0\', \'0\'], "
+ }
+ member_method {
+ name: "trainable_variables_parameter"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_accounted_types"
+ argspec: "args=[\'self\', \'account_type_regexes\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_empty_output"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_file_output"
+ argspec: "args=[\'self\', \'outfile\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_max_depth"
+ argspec: "args=[\'self\', \'max_depth\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_min_execution_time"
+ argspec: "args=[\'self\', \'min_micros\', \'min_accelerator_micros\', \'min_cpu_micros\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\'], "
+ }
+ member_method {
+ name: "with_min_float_operations"
+ argspec: "args=[\'self\', \'min_float_ops\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_min_memory"
+ argspec: "args=[\'self\', \'min_bytes\', \'min_peak_bytes\', \'min_residual_bytes\', \'min_output_bytes\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\'], "
+ }
+ member_method {
+ name: "with_min_occurrence"
+ argspec: "args=[\'self\', \'min_occurrence\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_min_parameters"
+ argspec: "args=[\'self\', \'min_params\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_node_names"
+ argspec: "args=[\'self\', \'start_name_regexes\', \'show_name_regexes\', \'hide_name_regexes\', \'trim_name_regexes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "with_pprof_output"
+ argspec: "args=[\'self\', \'pprof_file\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_stdout_output"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_step"
+ argspec: "args=[\'self\', \'step\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "with_timeline_output"
+ argspec: "args=[\'self\', \'timeline_file\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profiler.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profiler.pbtxt
new file mode 100644
index 00000000000..acb61dae9f0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profiler.pbtxt
@@ -0,0 +1,37 @@
+path: "tensorflow.profiler.Profiler"
+tf_class {
+ is_instance: "<class \'tensorflow.python.profiler.model_analyzer.Profiler\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'graph\', \'op_log\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_step"
+ argspec: "args=[\'self\', \'step\', \'run_meta\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "advise"
+ argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "profile_graph"
+ argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "profile_name_scope"
+ argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "profile_operations"
+ argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "profile_python"
+ argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "serialize_to_string"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.pbtxt
new file mode 100644
index 00000000000..7b4d3ac522a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.pbtxt
@@ -0,0 +1,39 @@
+path: "tensorflow.profiler"
+tf_module {
+ member {
+ name: "AdviceProto"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "GraphNodeProto"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "MultiGraphNodeProto"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "OpLogProto"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "ProfileOptionBuilder"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Profiler"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "advise"
+ argspec: "args=[\'graph\', \'run_meta\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\'], "
+ }
+ member_method {
+ name: "profile"
+ argspec: "args=[\'graph\', \'run_meta\', \'op_log\', \'cmd\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'scope\', \'0\'], "
+ }
+ member_method {
+ name: "write_op_log"
+ argspec: "args=[\'graph\', \'log_dir\', \'op_log\', \'run_meta\', \'add_trace\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-compression-type.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-compression-type.pbtxt
new file mode 100644
index 00000000000..4941dda50e4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-compression-type.pbtxt
@@ -0,0 +1,20 @@
+path: "tensorflow.python_io.TFRecordCompressionType"
+tf_class {
+ is_instance: "<class \'tensorflow.python.lib.io.tf_record.TFRecordCompressionType\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GZIP"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "ZLIB"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-options.pbtxt
new file mode 100644
index 00000000000..0853716023a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-options.pbtxt
@@ -0,0 +1,17 @@
+path: "tensorflow.python_io.TFRecordOptions"
+tf_class {
+ is_instance: "<class \'tensorflow.python.lib.io.tf_record.TFRecordOptions\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "compression_type_map"
+ mtype: "<type \'dict\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'compression_type\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_compression_type_string"
+ argspec: "args=[\'cls\', \'options\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-writer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-writer.pbtxt
new file mode 100644
index 00000000000..31775de2d12
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-writer.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.python_io.TFRecordWriter"
+tf_class {
+ is_instance: "<class \'tensorflow.python.lib.io.tf_record.TFRecordWriter\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'path\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flush"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "write"
+ argspec: "args=[\'self\', \'record\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.pbtxt
new file mode 100644
index 00000000000..7c9953e5fe3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.python_io"
+tf_module {
+ member {
+ name: "TFRecordCompressionType"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TFRecordOptions"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TFRecordWriter"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "tf_record_iterator"
+ argspec: "args=[\'path\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.quantization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.quantization.pbtxt
new file mode 100644
index 00000000000..6d865efed0b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.quantization.pbtxt
@@ -0,0 +1,35 @@
+path: "tensorflow.quantization"
+tf_module {
+ member_method {
+ name: "dequantize"
+ argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\'], "
+ }
+ member_method {
+ name: "fake_quant_with_min_max_args"
+ argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "fake_quant_with_min_max_args_gradient"
+ argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "fake_quant_with_min_max_vars"
+ argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "fake_quant_with_min_max_vars_gradient"
+ argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "fake_quant_with_min_max_vars_per_channel"
+ argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "fake_quant_with_min_max_vars_per_channel_gradient"
+ argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "quantized_concat"
+ argspec: "args=[\'concat_dim\', \'values\', \'input_mins\', \'input_maxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.random_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.random_normal_initializer.pbtxt
new file mode 100644
index 00000000000..5993fdeb9c2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.random_normal_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.random_normal_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.random_uniform_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.random_uniform_initializer.pbtxt
new file mode 100644
index 00000000000..a434ed1599e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.random_uniform_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.random_uniform_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.resource_loader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.resource_loader.pbtxt
new file mode 100644
index 00000000000..288b78b4cd0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.resource_loader.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.resource_loader"
+tf_module {
+ member_method {
+ name: "get_data_files_path"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_path_to_datafile"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_root_dir_with_all_resources"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "load_resource"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "readahead_file_path"
+ argspec: "args=[\'path\', \'readahead\'], varargs=None, keywords=None, defaults=[\'128M\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.-saved-model-builder.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.-saved-model-builder.pbtxt
new file mode 100644
index 00000000000..83bd7035409
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.-saved-model-builder.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.saved_model.builder.SavedModelBuilder"
+tf_class {
+ is_instance: "<class \'tensorflow.python.saved_model.builder_impl.SavedModelBuilder\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'export_dir\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "add_meta_graph"
+ argspec: "args=[\'self\', \'tags\', \'signature_def_map\', \'assets_collection\', \'legacy_init_op\', \'clear_devices\', \'main_op\', \'strip_default_attrs\', \'saver\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "add_meta_graph_and_variables"
+ argspec: "args=[\'self\', \'sess\', \'tags\', \'signature_def_map\', \'assets_collection\', \'legacy_init_op\', \'clear_devices\', \'main_op\', \'strip_default_attrs\', \'saver\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "save"
+ argspec: "args=[\'self\', \'as_text\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.pbtxt
new file mode 100644
index 00000000000..adc697ad1c0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.pbtxt
@@ -0,0 +1,7 @@
+path: "tensorflow.saved_model.builder"
+tf_module {
+ member {
+ name: "SavedModelBuilder"
+ mtype: "<type \'type\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.constants.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.constants.pbtxt
new file mode 100644
index 00000000000..20e10aa094f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.constants.pbtxt
@@ -0,0 +1,39 @@
+path: "tensorflow.saved_model.constants"
+tf_module {
+ member {
+ name: "ASSETS_DIRECTORY"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "ASSETS_KEY"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "LEGACY_INIT_OP_KEY"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "MAIN_OP_KEY"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SAVED_MODEL_FILENAME_PB"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SAVED_MODEL_FILENAME_PBTXT"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SAVED_MODEL_SCHEMA_VERSION"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "VARIABLES_DIRECTORY"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "VARIABLES_FILENAME"
+ mtype: "<type \'str\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.loader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.loader.pbtxt
new file mode 100644
index 00000000000..511e6b4712d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.loader.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.saved_model.loader"
+tf_module {
+ member_method {
+ name: "load"
+ argspec: "args=[\'sess\', \'tags\', \'export_dir\', \'import_scope\'], varargs=None, keywords=saver_kwargs, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "maybe_saved_model_directory"
+ argspec: "args=[\'export_dir\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.main_op.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.main_op.pbtxt
new file mode 100644
index 00000000000..176cb788c24
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.main_op.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.saved_model.main_op"
+tf_module {
+ member_method {
+ name: "main_op"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "main_op_with_restore"
+ argspec: "args=[\'restore_op_name\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.pbtxt
new file mode 100644
index 00000000000..e1a0385092c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.pbtxt
@@ -0,0 +1,39 @@
+path: "tensorflow.saved_model"
+tf_module {
+ member {
+ name: "builder"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "constants"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "loader"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "main_op"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "signature_constants"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "signature_def_utils"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "tag_constants"
+ mtype: "<type \'module\'>"
+ }
+ member {
+ name: "utils"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "simple_save"
+ argspec: "args=[\'session\', \'export_dir\', \'inputs\', \'outputs\', \'legacy_init_op\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_constants.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_constants.pbtxt
new file mode 100644
index 00000000000..478d410e066
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_constants.pbtxt
@@ -0,0 +1,47 @@
+path: "tensorflow.saved_model.signature_constants"
+tf_module {
+ member {
+ name: "CLASSIFY_INPUTS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "CLASSIFY_METHOD_NAME"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "CLASSIFY_OUTPUT_CLASSES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "CLASSIFY_OUTPUT_SCORES"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "DEFAULT_SERVING_SIGNATURE_DEF_KEY"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "PREDICT_INPUTS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "PREDICT_METHOD_NAME"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "PREDICT_OUTPUTS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "REGRESS_INPUTS"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "REGRESS_METHOD_NAME"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "REGRESS_OUTPUTS"
+ mtype: "<type \'str\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_def_utils.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_def_utils.pbtxt
new file mode 100644
index 00000000000..a5602464eeb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_def_utils.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.saved_model.signature_def_utils"
+tf_module {
+ member_method {
+ name: "build_signature_def"
+ argspec: "args=[\'inputs\', \'outputs\', \'method_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "classification_signature_def"
+ argspec: "args=[\'examples\', \'classes\', \'scores\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_valid_signature"
+ argspec: "args=[\'signature_def\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "predict_signature_def"
+ argspec: "args=[\'inputs\', \'outputs\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "regression_signature_def"
+ argspec: "args=[\'examples\', \'predictions\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.tag_constants.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.tag_constants.pbtxt
new file mode 100644
index 00000000000..6af72498d74
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.tag_constants.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.saved_model.tag_constants"
+tf_module {
+ member {
+ name: "GPU"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "SERVING"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TPU"
+ mtype: "<type \'str\'>"
+ }
+ member {
+ name: "TRAINING"
+ mtype: "<type \'str\'>"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.utils.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.utils.pbtxt
new file mode 100644
index 00000000000..d95c9466825
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.utils.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.saved_model.utils"
+tf_module {
+ member_method {
+ name: "build_tensor_info"
+ argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_tensor_from_tensor_info"
+ argspec: "args=[\'tensor_info\', \'graph\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.sets.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.sets.pbtxt
new file mode 100644
index 00000000000..8a196b1a556
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.sets.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.sets"
+tf_module {
+ member_method {
+ name: "set_difference"
+ argspec: "args=[\'a\', \'b\', \'aminusb\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+ }
+ member_method {
+ name: "set_intersection"
+ argspec: "args=[\'a\', \'b\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+ member_method {
+ name: "set_size"
+ argspec: "args=[\'a\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+ member_method {
+ name: "set_union"
+ argspec: "args=[\'a\', \'b\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.sparse.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.sparse.pbtxt
new file mode 100644
index 00000000000..bbfe395031a
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.sparse.pbtxt
@@ -0,0 +1,11 @@
+path: "tensorflow.sparse"
+tf_module {
+ member_method {
+ name: "cross"
+ argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "cross_hashed"
+ argspec: "args=[\'inputs\', \'num_buckets\', \'hash_key\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.spectral.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.spectral.pbtxt
new file mode 100644
index 00000000000..6a421ef12d5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.spectral.pbtxt
@@ -0,0 +1,59 @@
+path: "tensorflow.spectral"
+tf_module {
+ member_method {
+ name: "dct"
+ argspec: "args=[\'input\', \'type\', \'n\', \'axis\', \'norm\', \'name\'], varargs=None, keywords=None, defaults=[\'2\', \'None\', \'-1\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "fft"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "fft2d"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "fft3d"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "idct"
+ argspec: "args=[\'input\', \'type\', \'n\', \'axis\', \'norm\', \'name\'], varargs=None, keywords=None, defaults=[\'2\', \'None\', \'-1\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "ifft"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "ifft2d"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "ifft3d"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "irfft"
+ argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "irfft2d"
+ argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "irfft3d"
+ argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "rfft"
+ argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "rfft2d"
+ argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "rfft3d"
+ argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.strings.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.strings.pbtxt
new file mode 100644
index 00000000000..9a831fed269
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.strings.pbtxt
@@ -0,0 +1,43 @@
+path: "tensorflow.strings"
+tf_module {
+ member_method {
+ name: "join"
+ argspec: "args=[\'inputs\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
+ }
+ member_method {
+ name: "regex_full_match"
+ argspec: "args=[\'input\', \'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "regex_replace"
+ argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+ member_method {
+ name: "split"
+ argspec: "args=[\'source\', \'sep\', \'maxsplit\'], varargs=None, keywords=None, defaults=[\'None\', \'-1\'], "
+ }
+ member_method {
+ name: "strip"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "substr"
+ argspec: "args=[\'input\', \'pos\', \'len\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "to_hash_bucket"
+ argspec: "args=[\'string_tensor\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "to_hash_bucket_fast"
+ argspec: "args=[\'input\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "to_hash_bucket_strong"
+ argspec: "args=[\'input\', \'num_buckets\', \'key\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "to_number"
+ argspec: "args=[\'string_tensor\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-event.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-event.pbtxt
new file mode 100644
index 00000000000..eb99d0f5334
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-event.pbtxt
@@ -0,0 +1,74 @@
+path: "tensorflow.summary.Event"
+tf_proto {
+ descriptor {
+ name: "Event"
+ field {
+ name: "wall_time"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_DOUBLE
+ }
+ field {
+ name: "step"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "file_version"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ oneof_index: 0
+ }
+ field {
+ name: "graph_def"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "summary"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary"
+ oneof_index: 0
+ }
+ field {
+ name: "log_message"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.LogMessage"
+ oneof_index: 0
+ }
+ field {
+ name: "session_log"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SessionLog"
+ oneof_index: 0
+ }
+ field {
+ name: "tagged_run_metadata"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TaggedRunMetadata"
+ oneof_index: 0
+ }
+ field {
+ name: "meta_graph_def"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "what"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer-cache.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer-cache.pbtxt
new file mode 100644
index 00000000000..2a5b63dceae
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer-cache.pbtxt
@@ -0,0 +1,16 @@
+path: "tensorflow.summary.FileWriterCache"
+tf_class {
+ is_instance: "<class \'tensorflow.python.summary.writer.writer_cache.FileWriterCache\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "clear"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get"
+ argspec: "args=[\'logdir\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer.pbtxt
new file mode 100644
index 00000000000..6b65b0ace3c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer.pbtxt
@@ -0,0 +1,50 @@
+path: "tensorflow.summary.FileWriter"
+tf_class {
+ is_instance: "<class \'tensorflow.python.summary.writer.writer.FileWriter\'>"
+ is_instance: "<class \'tensorflow.python.summary.writer.writer.SummaryToEventTransformer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'logdir\', \'graph\', \'max_queue\', \'flush_secs\', \'graph_def\', \'filename_suffix\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'120\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_event"
+ argspec: "args=[\'self\', \'event\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "add_graph"
+ argspec: "args=[\'self\', \'graph\', \'global_step\', \'graph_def\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "add_meta_graph"
+ argspec: "args=[\'self\', \'meta_graph_def\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_run_metadata"
+ argspec: "args=[\'self\', \'run_metadata\', \'tag\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_session_log"
+ argspec: "args=[\'self\', \'session_log\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "add_summary"
+ argspec: "args=[\'self\', \'summary\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "flush"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_logdir"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reopen"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-session-log.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-session-log.pbtxt
new file mode 100644
index 00000000000..73de73869c8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-session-log.pbtxt
@@ -0,0 +1,44 @@
+path: "tensorflow.summary.SessionLog"
+tf_proto {
+ descriptor {
+ name: "SessionLog"
+ field {
+ name: "status"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.SessionLog.SessionStatus"
+ }
+ field {
+ name: "checkpoint_path"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "msg"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ enum_type {
+ name: "SessionStatus"
+ value {
+ name: "STATUS_UNSPECIFIED"
+ number: 0
+ }
+ value {
+ name: "START"
+ number: 1
+ }
+ value {
+ name: "STOP"
+ number: 2
+ }
+ value {
+ name: "CHECKPOINT"
+ number: 3
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary-description.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary-description.pbtxt
new file mode 100644
index 00000000000..4a8b59cf02e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary-description.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.summary.SummaryDescription"
+tf_proto {
+ descriptor {
+ name: "SummaryDescription"
+ field {
+ name: "type_hint"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-audio.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-audio.pbtxt
new file mode 100644
index 00000000000..8b271cf58fc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-audio.pbtxt
@@ -0,0 +1,36 @@
+path: "tensorflow.summary.Summary.Audio"
+tf_proto {
+ descriptor {
+ name: "Audio"
+ field {
+ name: "sample_rate"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ }
+ field {
+ name: "num_channels"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "length_frames"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "encoded_audio_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ field {
+ name: "content_type"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-image.pbtxt
new file mode 100644
index 00000000000..dbbc02dd050
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-image.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.summary.Summary.Image"
+tf_proto {
+ descriptor {
+ name: "Image"
+ field {
+ name: "height"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "width"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "colorspace"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "encoded_image_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-value.pbtxt
new file mode 100644
index 00000000000..4176171cd93
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-value.pbtxt
@@ -0,0 +1,74 @@
+path: "tensorflow.summary.Summary.Value"
+tf_proto {
+ descriptor {
+ name: "Value"
+ field {
+ name: "node_name"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tag"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "metadata"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SummaryMetadata"
+ }
+ field {
+ name: "simple_value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ oneof_index: 0
+ }
+ field {
+ name: "obsolete_old_style_histogram"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "image"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Image"
+ oneof_index: 0
+ }
+ field {
+ name: "histo"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.HistogramProto"
+ oneof_index: 0
+ }
+ field {
+ name: "audio"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Audio"
+ oneof_index: 0
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "value"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.pbtxt
new file mode 100644
index 00000000000..d6c5e3a87a1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.pbtxt
@@ -0,0 +1,144 @@
+path: "tensorflow.summary.Summary"
+tf_proto {
+ descriptor {
+ name: "Summary"
+ field {
+ name: "value"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Value"
+ }
+ nested_type {
+ name: "Image"
+ field {
+ name: "height"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "width"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "colorspace"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "encoded_image_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+ nested_type {
+ name: "Audio"
+ field {
+ name: "sample_rate"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ }
+ field {
+ name: "num_channels"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "length_frames"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT64
+ }
+ field {
+ name: "encoded_audio_string"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ field {
+ name: "content_type"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+ nested_type {
+ name: "Value"
+ field {
+ name: "node_name"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tag"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "metadata"
+ number: 9
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.SummaryMetadata"
+ }
+ field {
+ name: "simple_value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ oneof_index: 0
+ }
+ field {
+ name: "obsolete_old_style_histogram"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ oneof_index: 0
+ }
+ field {
+ name: "image"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Image"
+ oneof_index: 0
+ }
+ field {
+ name: "histo"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.HistogramProto"
+ oneof_index: 0
+ }
+ field {
+ name: "audio"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Summary.Audio"
+ oneof_index: 0
+ }
+ field {
+ name: "tensor"
+ number: 8
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.TensorProto"
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "value"
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-tagged-run-metadata.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-tagged-run-metadata.pbtxt
new file mode 100644
index 00000000000..27c88733204
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-tagged-run-metadata.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.summary.TaggedRunMetadata"
+tf_proto {
+ descriptor {
+ name: "TaggedRunMetadata"
+ field {
+ name: "tag"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "run_metadata"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_BYTES
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.pbtxt
new file mode 100644
index 00000000000..871ebb5247f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.pbtxt
@@ -0,0 +1,67 @@
+path: "tensorflow.summary"
+tf_module {
+ member {
+ name: "Event"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "FileWriter"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "FileWriterCache"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SessionLog"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "Summary"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "SummaryDescription"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "TaggedRunMetadata"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member_method {
+ name: "audio"
+ argspec: "args=[\'name\', \'tensor\', \'sample_rate\', \'max_outputs\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'3\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_summary_description"
+ argspec: "args=[\'node_def\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "histogram"
+ argspec: "args=[\'name\', \'values\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "image"
+ argspec: "args=[\'name\', \'tensor\', \'max_outputs\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'3\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "merge"
+ argspec: "args=[\'inputs\', \'collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "merge_all"
+ argspec: "args=[\'key\', \'scope\'], varargs=None, keywords=None, defaults=[\'summaries\', \'None\'], "
+ }
+ member_method {
+ name: "scalar"
+ argspec: "args=[\'name\', \'tensor\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "tensor_summary"
+ argspec: "args=[\'name\', \'tensor\', \'summary_description\', \'collections\', \'summary_metadata\', \'family\', \'display_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "text"
+ argspec: "args=[\'name\', \'tensor\', \'collections\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.sysconfig.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.sysconfig.pbtxt
new file mode 100644
index 00000000000..2f00aeac25f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.sysconfig.pbtxt
@@ -0,0 +1,19 @@
+path: "tensorflow.sysconfig"
+tf_module {
+ member_method {
+ name: "get_compile_flags"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_include"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_lib"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_link_flags"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.test.-benchmark.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.test.-benchmark.pbtxt
new file mode 100644
index 00000000000..df528e26b60
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.test.-benchmark.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.test.Benchmark"
+tf_class {
+ is_instance: "<class \'tensorflow.python.platform.benchmark.TensorFlowBenchmark\'>"
+ is_instance: "<class \'tensorflow.python.platform.benchmark.Benchmark\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "is_abstract"
+ argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "report_benchmark"
+ argspec: "args=[\'self\', \'iters\', \'cpu_time\', \'wall_time\', \'throughput\', \'extras\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "run_op_benchmark"
+ argspec: "args=[\'self\', \'sess\', \'op_or_tensor\', \'feed_dict\', \'burn_iters\', \'min_iters\', \'store_trace\', \'store_memory_usage\', \'name\', \'extras\', \'mbs\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'10\', \'False\', \'True\', \'None\', \'None\', \'0\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.test.-stub-out-for-testing.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.test.-stub-out-for-testing.pbtxt
new file mode 100644
index 00000000000..e02a0c6097c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.test.-stub-out-for-testing.pbtxt
@@ -0,0 +1,28 @@
+path: "tensorflow.test.StubOutForTesting"
+tf_class {
+ is_instance: "<class \'tensorflow.python.platform.googletest.StubOutForTesting\'>"
+ member_method {
+ name: "CleanUp"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Set"
+ argspec: "args=[\'self\', \'parent\', \'child_name\', \'new_child\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "SmartSet"
+ argspec: "args=[\'self\', \'obj\', \'attr_name\', \'new_attr\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "SmartUnsetAll"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "UnsetAll"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.test.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.test.pbtxt
new file mode 100644
index 00000000000..abe9b068ae9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.test.pbtxt
@@ -0,0 +1,59 @@
+path: "tensorflow.test"
+tf_module {
+ member {
+ name: "Benchmark"
+ mtype: "<class \'tensorflow.python.platform.benchmark._BenchmarkRegistrar\'>"
+ }
+ member {
+ name: "StubOutForTesting"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "TestCase"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "mock"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "assert_equal_graph_def"
+ argspec: "args=[\'actual\', \'expected\', \'checkpoint_v2\'], varargs=None, keywords=None, defaults=[\'False\'], "
+ }
+ member_method {
+ name: "compute_gradient"
+ argspec: "args=[\'x\', \'x_shape\', \'y\', \'y_shape\', \'x_init_value\', \'delta\', \'init_targets\', \'extra_feed_dict\'], varargs=None, keywords=None, defaults=[\'None\', \'0.001\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradient_error"
+ argspec: "args=[\'x\', \'x_shape\', \'y\', \'y_shape\', \'x_init_value\', \'delta\', \'init_targets\', \'extra_feed_dict\'], varargs=None, keywords=None, defaults=[\'None\', \'0.001\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "create_local_cluster"
+ argspec: "args=[\'num_workers\', \'num_ps\', \'protocol\', \'worker_config\', \'ps_config\'], varargs=None, keywords=None, defaults=[\'grpc\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "get_temp_dir"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "gpu_device_name"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_built_with_cuda"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_gpu_available"
+ argspec: "args=[\'cuda_only\', \'min_cuda_compute_capability\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "main"
+ argspec: "args=[\'argv\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "test_src_dir_path"
+ argspec: "args=[\'relative_path\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adadelta-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adadelta-optimizer.pbtxt
new file mode 100644
index 00000000000..1f1d8b6f9e2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adadelta-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.AdadeltaOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.adadelta.AdadeltaOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'rho\', \'epsilon\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.001\', \'0.95\', \'1e-08\', \'False\', \'Adadelta\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-d-a-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-d-a-optimizer.pbtxt
new file mode 100644
index 00000000000..a7c05d48490
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-d-a-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.AdagradDAOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.adagrad_da.AdagradDAOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'global_step\', \'initial_gradient_squared_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'AdagradDA\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-optimizer.pbtxt
new file mode 100644
index 00000000000..bc8b92389c6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.AdagradOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.adagrad.AdagradOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'False\', \'Adagrad\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adam-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adam-optimizer.pbtxt
new file mode 100644
index 00000000000..5d17be9378f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adam-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.AdamOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.adam.AdamOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'beta1\', \'beta2\', \'epsilon\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.001\', \'0.9\', \'0.999\', \'1e-08\', \'False\', \'Adam\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-bytes-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-bytes-list.pbtxt
new file mode 100644
index 00000000000..87e4f160e5b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-bytes-list.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.train.BytesList"
+tf_proto {
+ descriptor {
+ name: "BytesList"
+ field {
+ name: "value"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_BYTES
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-hook.pbtxt
new file mode 100644
index 00000000000..c3037baa8c9
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.CheckpointSaverHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.CheckpointSaverHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'checkpoint_dir\', \'save_secs\', \'save_steps\', \'saver\', \'checkpoint_basename\', \'scaffold\', \'listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'model.ckpt\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-listener.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-listener.pbtxt
new file mode 100644
index 00000000000..9d3688e5657
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-listener.pbtxt
@@ -0,0 +1,24 @@
+path: "tensorflow.train.CheckpointSaverListener"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.CheckpointSaverListener\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "after_save"
+ argspec: "args=[\'self\', \'session\', \'global_step_value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_save"
+ argspec: "args=[\'self\', \'session\', \'global_step_value\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\', \'global_step_value\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt
new file mode 100644
index 00000000000..2d067e4eff1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt
@@ -0,0 +1,23 @@
+path: "tensorflow.train.Checkpoint"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.checkpointable.util.Checkpoint\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.tracking.Checkpointable\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "save_counter"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "restore"
+ argspec: "args=[\'self\', \'save_path\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "save"
+ argspec: "args=[\'self\', \'file_prefix\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-chief-session-creator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-chief-session-creator.pbtxt
new file mode 100644
index 00000000000..abbe273be32
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-chief-session-creator.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.train.ChiefSessionCreator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.ChiefSessionCreator\'>"
+ is_instance: "<class \'tensorflow.python.training.monitored_session.SessionCreator\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'scaffold\', \'master\', \'config\', \'checkpoint_dir\', \'checkpoint_filename_with_path\'], varargs=None, keywords=None, defaults=[\'None\', \'\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "create_session"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-def.pbtxt
new file mode 100644
index 00000000000..f9de26839f5
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-def.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.train.ClusterDef"
+tf_proto {
+ descriptor {
+ name: "ClusterDef"
+ field {
+ name: "job"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.JobDef"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-spec.pbtxt
new file mode 100644
index 00000000000..1658b15a5f8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-spec.pbtxt
@@ -0,0 +1,37 @@
+path: "tensorflow.train.ClusterSpec"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.server_lib.ClusterSpec\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "jobs"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'cluster\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_cluster_def"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "as_dict"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "job_tasks"
+ argspec: "args=[\'self\', \'job_name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "num_tasks"
+ argspec: "args=[\'self\', \'job_name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "task_address"
+ argspec: "args=[\'self\', \'job_name\', \'task_index\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "task_indices"
+ argspec: "args=[\'self\', \'job_name\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-coordinator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-coordinator.pbtxt
new file mode 100644
index 00000000000..11277f077ee
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-coordinator.pbtxt
@@ -0,0 +1,45 @@
+path: "tensorflow.train.Coordinator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.coordinator.Coordinator\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "joined"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'clean_stop_exception_types\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "clear_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "join"
+ argspec: "args=[\'self\', \'threads\', \'stop_grace_period_secs\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'120\', \'False\'], "
+ }
+ member_method {
+ name: "raise_requested_exception"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "register_thread"
+ argspec: "args=[\'self\', \'thread\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "request_stop"
+ argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "should_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "stop_on_exception"
+ argspec: "args=[], varargs=args, keywords=kwds, defaults=None"
+ }
+ member_method {
+ name: "wait_for_stop"
+ argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-example.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-example.pbtxt
new file mode 100644
index 00000000000..23c30f1ef4f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-example.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.train.Example"
+tf_proto {
+ descriptor {
+ name: "Example"
+ field {
+ name: "features"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Features"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-exponential-moving-average.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-exponential-moving-average.pbtxt
new file mode 100644
index 00000000000..c9fe136e68b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-exponential-moving-average.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.train.ExponentialMovingAverage"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.moving_averages.ExponentialMovingAverage\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'decay\', \'num_updates\', \'zero_debias\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'ExponentialMovingAverage\'], "
+ }
+ member_method {
+ name: "apply"
+ argspec: "args=[\'self\', \'var_list\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "average"
+ argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "average_name"
+ argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "variables_to_restore"
+ argspec: "args=[\'self\', \'moving_avg_variables\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-list.pbtxt
new file mode 100644
index 00000000000..2a8b3714fc0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-list.pbtxt
@@ -0,0 +1,13 @@
+path: "tensorflow.train.FeatureList"
+tf_proto {
+ descriptor {
+ name: "FeatureList"
+ field {
+ name: "feature"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Feature"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.-feature-list-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.-feature-list-entry.pbtxt
new file mode 100644
index 00000000000..cd1d56e606c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.-feature-list-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.train.FeatureLists.FeatureListEntry"
+tf_proto {
+ descriptor {
+ name: "FeatureListEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.FeatureList"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.pbtxt
new file mode 100644
index 00000000000..3c183a64769
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.pbtxt
@@ -0,0 +1,32 @@
+path: "tensorflow.train.FeatureLists"
+tf_proto {
+ descriptor {
+ name: "FeatureLists"
+ field {
+ name: "feature_list"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.FeatureLists.FeatureListEntry"
+ }
+ nested_type {
+ name: "FeatureListEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.FeatureList"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature.pbtxt
new file mode 100644
index 00000000000..5d0eb871c2f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature.pbtxt
@@ -0,0 +1,33 @@
+path: "tensorflow.train.Feature"
+tf_proto {
+ descriptor {
+ name: "Feature"
+ field {
+ name: "bytes_list"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.BytesList"
+ oneof_index: 0
+ }
+ field {
+ name: "float_list"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.FloatList"
+ oneof_index: 0
+ }
+ field {
+ name: "int64_list"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Int64List"
+ oneof_index: 0
+ }
+ oneof_decl {
+ name: "kind"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-features.-feature-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.-feature-entry.pbtxt
new file mode 100644
index 00000000000..f912005f1cc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.-feature-entry.pbtxt
@@ -0,0 +1,22 @@
+path: "tensorflow.train.Features.FeatureEntry"
+tf_proto {
+ descriptor {
+ name: "FeatureEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Feature"
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-features.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.pbtxt
new file mode 100644
index 00000000000..b788ca1d57e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.pbtxt
@@ -0,0 +1,32 @@
+path: "tensorflow.train.Features"
+tf_proto {
+ descriptor {
+ name: "Features"
+ field {
+ name: "feature"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Features.FeatureEntry"
+ }
+ nested_type {
+ name: "FeatureEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Feature"
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feed-fn-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feed-fn-hook.pbtxt
new file mode 100644
index 00000000000..7bec4d032ce
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feed-fn-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.FeedFnHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.FeedFnHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'feed_fn\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-final-ops-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-final-ops-hook.pbtxt
new file mode 100644
index 00000000000..31cf9aaeb2c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-final-ops-hook.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.train.FinalOpsHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.FinalOpsHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "final_ops_values"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'final_ops\', \'final_ops_feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-float-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-float-list.pbtxt
new file mode 100644
index 00000000000..55d3b46f20e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-float-list.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.train.FloatList"
+tf_proto {
+ descriptor {
+ name: "FloatList"
+ field {
+ name: "value"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_FLOAT
+ options {
+ packed: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-ftrl-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-ftrl-optimizer.pbtxt
new file mode 100644
index 00000000000..d265fdeb01c
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-ftrl-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.FtrlOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.ftrl.FtrlOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\', \'accum_name\', \'linear_name\', \'l2_shrinkage_regularization_strength\'], varargs=None, keywords=None, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'False\', \'Ftrl\', \'None\', \'None\', \'0.0\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-global-step-waiter-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-global-step-waiter-hook.pbtxt
new file mode 100644
index 00000000000..147448618e2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-global-step-waiter-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.GlobalStepWaiterHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.GlobalStepWaiterHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'wait_until_step\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-gradient-descent-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-gradient-descent-optimizer.pbtxt
new file mode 100644
index 00000000000..c673e29cd4d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-gradient-descent-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.GradientDescentOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.gradient_descent.GradientDescentOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'GradientDescent\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-int64-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-int64-list.pbtxt
new file mode 100644
index 00000000000..1de92b3ab7b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-int64-list.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.train.Int64List"
+tf_proto {
+ descriptor {
+ name: "Int64List"
+ field {
+ name: "value"
+ number: 1
+ label: LABEL_REPEATED
+ type: TYPE_INT64
+ options {
+ packed: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.-tasks-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.-tasks-entry.pbtxt
new file mode 100644
index 00000000000..58115590a5e
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.-tasks-entry.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.train.JobDef.TasksEntry"
+tf_proto {
+ descriptor {
+ name: "TasksEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ options {
+ map_entry: true
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.pbtxt
new file mode 100644
index 00000000000..d7eb505e279
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.pbtxt
@@ -0,0 +1,37 @@
+path: "tensorflow.train.JobDef"
+tf_proto {
+ descriptor {
+ name: "JobDef"
+ field {
+ name: "name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "tasks"
+ number: 2
+ label: LABEL_REPEATED
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.JobDef.TasksEntry"
+ }
+ nested_type {
+ name: "TasksEntry"
+ field {
+ name: "key"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "value"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ options {
+ map_entry: true
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-logging-tensor-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-logging-tensor-hook.pbtxt
new file mode 100644
index 00000000000..9801c05df18
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-logging-tensor-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.LoggingTensorHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.LoggingTensorHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'tensors\', \'every_n_iter\', \'every_n_secs\', \'at_end\', \'formatter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt
new file mode 100644
index 00000000000..c61859004e8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt
@@ -0,0 +1,73 @@
+path: "tensorflow.train.LooperThread"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.coordinator.LooperThread\'>"
+ is_instance: "<class \'threading.Thread\'>"
+ member {
+ name: "daemon"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ident"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'coord\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "getName"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "isAlive"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "isDaemon"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "is_alive"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "join"
+ argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "loop"
+ argspec: "args=[\'coord\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "run_loop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "setDaemon"
+ argspec: "args=[\'self\', \'daemonic\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "setName"
+ argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "start"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "start_loop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "stop_loop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-momentum-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-momentum-optimizer.pbtxt
new file mode 100644
index 00000000000..8199f63b9b8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-momentum-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.MomentumOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.momentum.MomentumOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'momentum\', \'use_locking\', \'name\', \'use_nesterov\'], varargs=None, keywords=None, defaults=[\'False\', \'Momentum\', \'False\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.-step-context.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.-step-context.pbtxt
new file mode 100644
index 00000000000..03efe6639e0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.-step-context.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.train.MonitoredSession.StepContext"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.StepContext\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "session"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'session\', \'run_with_hooks_fn\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "request_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "run_with_hooks"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.pbtxt
new file mode 100644
index 00000000000..09b7b3fb538
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.pbtxt
@@ -0,0 +1,34 @@
+path: "tensorflow.train.MonitoredSession"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.MonitoredSession\'>"
+ is_instance: "<class \'tensorflow.python.training.monitored_session._MonitoredSession\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "StepContext"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'session_creator\', \'hooks\', \'stop_grace_period_secs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'120\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "run_step_fn"
+ argspec: "args=[\'self\', \'step_fn\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "should_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-loss-during-training-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-loss-during-training-error.pbtxt
new file mode 100644
index 00000000000..25fd5e75a79
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-loss-during-training-error.pbtxt
@@ -0,0 +1,16 @@
+path: "tensorflow.train.NanLossDuringTrainingError"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.NanLossDuringTrainingError\'>"
+ is_instance: "<type \'exceptions.RuntimeError\'>"
+ member {
+ name: "args"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member {
+ name: "message"
+ mtype: "<type \'getset_descriptor\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-tensor-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-tensor-hook.pbtxt
new file mode 100644
index 00000000000..7d1c89f9b37
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-tensor-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.NanTensorHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.NanTensorHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'loss_tensor\', \'fail_on_nan_loss\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-optimizer.pbtxt
new file mode 100644
index 00000000000..876bb35e391
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-optimizer.pbtxt
@@ -0,0 +1,50 @@
+path: "tensorflow.train.Optimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-profiler-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-profiler-hook.pbtxt
new file mode 100644
index 00000000000..4df6c4156a8
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-profiler-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.ProfilerHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.ProfilerHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'save_steps\', \'save_secs\', \'output_dir\', \'show_dataflow\', \'show_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\', \'True\', \'False\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-adagrad-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
new file mode 100644
index 00000000000..14349a74efb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-adagrad-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.ProximalAdagradOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.proximal_adagrad.ProximalAdagradOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'ProximalAdagrad\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt
new file mode 100644
index 00000000000..7d982dc51f6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.ProximalGradientDescentOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.proximal_gradient_descent.ProximalGradientDescentOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\', \'False\', \'ProximalGradientDescent\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-queue-runner.pbtxt
new file mode 100644
index 00000000000..d84d0058eea
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-queue-runner.pbtxt
@@ -0,0 +1,49 @@
+path: "tensorflow.train.QueueRunner"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.queue_runner_impl.QueueRunner\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "cancel_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "close_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "enqueue_ops"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "exceptions_raised"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_closed_exception_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'queue\', \'enqueue_ops\', \'close_op\', \'cancel_op\', \'queue_closed_exception_types\', \'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "create_threads"
+ argspec: "args=[\'self\', \'sess\', \'coord\', \'daemon\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\'], "
+ }
+ member_method {
+ name: "from_proto"
+ argspec: "args=[\'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "to_proto"
+ argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-r-m-s-prop-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-r-m-s-prop-optimizer.pbtxt
new file mode 100644
index 00000000000..906384a2875
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-r-m-s-prop-optimizer.pbtxt
@@ -0,0 +1,51 @@
+path: "tensorflow.train.RMSPropOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.rmsprop.RMSPropOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'learning_rate\', \'decay\', \'momentum\', \'epsilon\', \'use_locking\', \'centered\', \'name\'], varargs=None, keywords=None, defaults=[\'0.9\', \'0.0\', \'1e-10\', \'False\', \'False\', \'RMSProp\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-saver-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver-def.pbtxt
new file mode 100644
index 00000000000..4ec99469e40
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver-def.pbtxt
@@ -0,0 +1,64 @@
+path: "tensorflow.train.SaverDef"
+tf_proto {
+ descriptor {
+ name: "SaverDef"
+ field {
+ name: "filename_tensor_name"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "save_tensor_name"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "restore_op_name"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "max_to_keep"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "sharded"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_BOOL
+ }
+ field {
+ name: "keep_checkpoint_every_n_hours"
+ number: 6
+ label: LABEL_OPTIONAL
+ type: TYPE_FLOAT
+ }
+ field {
+ name: "version"
+ number: 7
+ label: LABEL_OPTIONAL
+ type: TYPE_ENUM
+ type_name: ".tensorflow.SaverDef.CheckpointFormatVersion"
+ }
+ enum_type {
+ name: "CheckpointFormatVersion"
+ value {
+ name: "LEGACY"
+ number: 0
+ }
+ value {
+ name: "V1"
+ number: 1
+ }
+ value {
+ name: "V2"
+ number: 2
+ }
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-saver.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver.pbtxt
new file mode 100644
index 00000000000..2cda458f468
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver.pbtxt
@@ -0,0 +1,53 @@
+path: "tensorflow.train.Saver"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.saver.Saver\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "last_checkpoints"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'var_list\', \'reshape\', \'sharded\', \'max_to_keep\', \'keep_checkpoint_every_n_hours\', \'name\', \'restore_sequentially\', \'saver_def\', \'builder\', \'defer_build\', \'allow_empty\', \'write_version\', \'pad_step_number\', \'save_relative_paths\', \'filename\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\', \'5\', \'10000.0\', \'None\', \'False\', \'None\', \'None\', \'False\', \'False\', \'2\', \'False\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "as_saver_def"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "build"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "export_meta_graph"
+ argspec: "args=[\'self\', \'filename\', \'collection_list\', \'as_text\', \'export_scope\', \'clear_devices\', \'clear_extraneous_savers\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'False\', \'False\', \'False\'], "
+ }
+ member_method {
+ name: "from_proto"
+ argspec: "args=[\'saver_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "recover_last_checkpoints"
+ argspec: "args=[\'self\', \'checkpoint_paths\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "restore"
+ argspec: "args=[\'self\', \'sess\', \'save_path\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "save"
+ argspec: "args=[\'self\', \'sess\', \'save_path\', \'global_step\', \'latest_filename\', \'meta_graph_suffix\', \'write_meta_graph\', \'write_state\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'meta\', \'True\', \'True\', \'False\'], "
+ }
+ member_method {
+ name: "set_last_checkpoints"
+ argspec: "args=[\'self\', \'last_checkpoints\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "set_last_checkpoints_with_time"
+ argspec: "args=[\'self\', \'last_checkpoints_with_time\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "to_proto"
+ argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-scaffold.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-scaffold.pbtxt
new file mode 100644
index 00000000000..38cc98b48e7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-scaffold.pbtxt
@@ -0,0 +1,53 @@
+path: "tensorflow.train.Scaffold"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.Scaffold\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "init_feed_dict"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "init_fn"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "init_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "local_init_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ready_for_local_init_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ready_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "saver"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "summary_op"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'init_op\', \'init_feed_dict\', \'init_fn\', \'ready_op\', \'ready_for_local_init_op\', \'local_init_op\', \'summary_op\', \'saver\', \'copy_from_scaffold\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "default_local_init_op"
+ argspec: "args=[], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "finalize"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_or_default"
+ argspec: "args=[\'arg_name\', \'collection_key\', \'default_constructor\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-second-or-step-timer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-second-or-step-timer.pbtxt
new file mode 100644
index 00000000000..3c5a6ac13cc
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-second-or-step-timer.pbtxt
@@ -0,0 +1,26 @@
+path: "tensorflow.train.SecondOrStepTimer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.SecondOrStepTimer\'>"
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks._HookTimer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'every_secs\', \'every_steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "last_triggered_step"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "reset"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "should_trigger_for_step"
+ argspec: "args=[\'self\', \'step\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "update_last_triggered_step"
+ argspec: "args=[\'self\', \'step\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-sequence-example.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-sequence-example.pbtxt
new file mode 100644
index 00000000000..6a4553bbc15
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-sequence-example.pbtxt
@@ -0,0 +1,20 @@
+path: "tensorflow.train.SequenceExample"
+tf_proto {
+ descriptor {
+ name: "SequenceExample"
+ field {
+ name: "context"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.Features"
+ }
+ field {
+ name: "feature_lists"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.FeatureLists"
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-server-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-server-def.pbtxt
new file mode 100644
index 00000000000..83ee7b3eb91
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-server-def.pbtxt
@@ -0,0 +1,38 @@
+path: "tensorflow.train.ServerDef"
+tf_proto {
+ descriptor {
+ name: "ServerDef"
+ field {
+ name: "cluster"
+ number: 1
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ClusterDef"
+ }
+ field {
+ name: "job_name"
+ number: 2
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ field {
+ name: "task_index"
+ number: 3
+ label: LABEL_OPTIONAL
+ type: TYPE_INT32
+ }
+ field {
+ name: "default_session_config"
+ number: 4
+ label: LABEL_OPTIONAL
+ type: TYPE_MESSAGE
+ type_name: ".tensorflow.ConfigProto"
+ }
+ field {
+ name: "protocol"
+ number: 5
+ label: LABEL_OPTIONAL
+ type: TYPE_STRING
+ }
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-server.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-server.pbtxt
new file mode 100644
index 00000000000..9b8f185f5b6
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-server.pbtxt
@@ -0,0 +1,29 @@
+path: "tensorflow.train.Server"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.server_lib.Server\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "server_def"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "target"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'server_or_cluster_def\', \'job_name\', \'task_index\', \'protocol\', \'config\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\'], "
+ }
+ member_method {
+ name: "create_local_server"
+ argspec: "args=[\'config\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+ }
+ member_method {
+ name: "join"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "start"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-creator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-creator.pbtxt
new file mode 100644
index 00000000000..beb232715f7
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-creator.pbtxt
@@ -0,0 +1,12 @@
+path: "tensorflow.train.SessionCreator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.SessionCreator\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "create_session"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-manager.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-manager.pbtxt
new file mode 100644
index 00000000000..448764fe081
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-manager.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.train.SessionManager"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.session_manager.SessionManager\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'local_init_op\', \'ready_op\', \'ready_for_local_init_op\', \'graph\', \'recovery_wait_secs\', \'local_init_run_options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'30\', \'None\'], "
+ }
+ member_method {
+ name: "prepare_session"
+ argspec: "args=[\'self\', \'master\', \'init_op\', \'saver\', \'checkpoint_dir\', \'checkpoint_filename_with_path\', \'wait_for_checkpoint\', \'max_wait_secs\', \'config\', \'init_feed_dict\', \'init_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'7200\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "recover_session"
+ argspec: "args=[\'self\', \'master\', \'saver\', \'checkpoint_dir\', \'checkpoint_filename_with_path\', \'wait_for_checkpoint\', \'max_wait_secs\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'7200\', \'None\'], "
+ }
+ member_method {
+ name: "wait_for_session"
+ argspec: "args=[\'self\', \'master\', \'config\', \'max_wait_secs\'], varargs=None, keywords=None, defaults=[\'None\', \'inf\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-args.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-args.pbtxt
new file mode 100644
index 00000000000..442990893e3
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-args.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.train.SessionRunArgs"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunArgs\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunArgs\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "feed_dict"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "fetches"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "options"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-context.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-context.pbtxt
new file mode 100644
index 00000000000..d5adb15c95f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-context.pbtxt
@@ -0,0 +1,25 @@
+path: "tensorflow.train.SessionRunContext"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunContext\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "original_args"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "session"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "stop_requested"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'original_args\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "request_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-hook.pbtxt
new file mode 100644
index 00000000000..db1aa24acf0
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-hook.pbtxt
@@ -0,0 +1,28 @@
+path: "tensorflow.train.SessionRunHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-values.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-values.pbtxt
new file mode 100644
index 00000000000..0b401d59c40
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-values.pbtxt
@@ -0,0 +1,27 @@
+path: "tensorflow.train.SessionRunValues"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunValues\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunValues\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "options"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "results"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "run_metadata"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.-step-context.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.-step-context.pbtxt
new file mode 100644
index 00000000000..36d8ce7ff82
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.-step-context.pbtxt
@@ -0,0 +1,21 @@
+path: "tensorflow.train.SingularMonitoredSession.StepContext"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.StepContext\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "session"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'session\', \'run_with_hooks_fn\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "request_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "run_with_hooks"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.pbtxt
new file mode 100644
index 00000000000..de0f2c1c1a2
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.pbtxt
@@ -0,0 +1,38 @@
+path: "tensorflow.train.SingularMonitoredSession"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.SingularMonitoredSession\'>"
+ is_instance: "<class \'tensorflow.python.training.monitored_session._MonitoredSession\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "StepContext"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "graph"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'hooks\', \'scaffold\', \'master\', \'config\', \'checkpoint_dir\', \'stop_grace_period_secs\', \'checkpoint_filename_with_path\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\', \'None\', \'None\', \'120\', \'None\'], "
+ }
+ member_method {
+ name: "close"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "raw_session"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "run"
+ argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "run_step_fn"
+ argspec: "args=[\'self\', \'step_fn\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "should_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-step-counter-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-step-counter-hook.pbtxt
new file mode 100644
index 00000000000..13261f6dde1
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-step-counter-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.StepCounterHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.StepCounterHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'every_n_steps\', \'every_n_secs\', \'output_dir\', \'summary_writer\'], varargs=None, keywords=None, defaults=[\'100\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-stop-at-step-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-stop-at-step-hook.pbtxt
new file mode 100644
index 00000000000..e388599b0bf
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-stop-at-step-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.StopAtStepHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.StopAtStepHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'num_steps\', \'last_step\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-summary-saver-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-summary-saver-hook.pbtxt
new file mode 100644
index 00000000000..697c3667b09
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-summary-saver-hook.pbtxt
@@ -0,0 +1,30 @@
+path: "tensorflow.train.SummarySaverHook"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.SummarySaverHook\'>"
+ is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'save_steps\', \'save_secs\', \'output_dir\', \'summary_writer\', \'scaffold\', \'summary_op\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "after_create_session"
+ argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "after_run"
+ argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "before_run"
+ argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "begin"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "end"
+ argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-supervisor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-supervisor.pbtxt
new file mode 100644
index 00000000000..9677e5a98e4
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-supervisor.pbtxt
@@ -0,0 +1,153 @@
+path: "tensorflow.train.Supervisor"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.supervisor.Supervisor\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "USE_DEFAULT"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "coord"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "global_step"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "init_feed_dict"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "init_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "is_chief"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ready_for_local_init_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "ready_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_model_secs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_path"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "save_summaries_secs"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "saver"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "session_manager"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "summary_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "summary_writer"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "Loop"
+ argspec: "args=[\'self\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "PrepareSession"
+ argspec: "args=[\'self\', \'master\', \'config\', \'wait_for_checkpoint\', \'max_wait_secs\', \'start_standard_services\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'False\', \'7200\', \'True\'], "
+ }
+ member_method {
+ name: "RequestStop"
+ argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "ShouldStop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "StartQueueRunners"
+ argspec: "args=[\'self\', \'sess\', \'queue_runners\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "StartStandardServices"
+ argspec: "args=[\'self\', \'sess\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "Stop"
+ argspec: "args=[\'self\', \'threads\', \'close_summary_writer\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'False\'], "
+ }
+ member_method {
+ name: "StopOnException"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "SummaryComputed"
+ argspec: "args=[\'self\', \'sess\', \'summary\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "WaitForStop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'graph\', \'ready_op\', \'ready_for_local_init_op\', \'is_chief\', \'init_op\', \'init_feed_dict\', \'local_init_op\', \'logdir\', \'summary_op\', \'saver\', \'global_step\', \'save_summaries_secs\', \'save_model_secs\', \'recovery_wait_secs\', \'stop_grace_secs\', \'checkpoint_basename\', \'session_manager\', \'summary_writer\', \'init_fn\', \'local_init_run_options\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'True\', \'0\', \'None\', \'0\', \'None\', \'0\', \'0\', \'0\', \'120\', \'600\', \'30\', \'120\', \'model.ckpt\', \'None\', \'0\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "loop"
+ argspec: "args=[\'self\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "managed_session"
+ argspec: "args=[], varargs=args, keywords=kwds, defaults=None"
+ }
+ member_method {
+ name: "prepare_or_wait_for_session"
+ argspec: "args=[\'self\', \'master\', \'config\', \'wait_for_checkpoint\', \'max_wait_secs\', \'start_standard_services\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'False\', \'7200\', \'True\'], "
+ }
+ member_method {
+ name: "request_stop"
+ argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "should_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "start_queue_runners"
+ argspec: "args=[\'self\', \'sess\', \'queue_runners\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "start_standard_services"
+ argspec: "args=[\'self\', \'sess\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "stop"
+ argspec: "args=[\'self\', \'threads\', \'close_summary_writer\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'False\'], "
+ }
+ member_method {
+ name: "stop_on_exception"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "summary_computed"
+ argspec: "args=[\'self\', \'sess\', \'summary\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "wait_for_stop"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-sync-replicas-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-sync-replicas-optimizer.pbtxt
new file mode 100644
index 00000000000..2c0fda3c72b
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-sync-replicas-optimizer.pbtxt
@@ -0,0 +1,63 @@
+path: "tensorflow.train.SyncReplicasOptimizer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.sync_replicas_optimizer.SyncReplicasOptimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>"
+ is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "GATE_GRAPH"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_NONE"
+ mtype: "<type \'int\'>"
+ }
+ member {
+ name: "GATE_OP"
+ mtype: "<type \'int\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'opt\', \'replicas_to_aggregate\', \'total_num_replicas\', \'variable_averages\', \'variables_to_average\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'sync_replicas\'], "
+ }
+ member_method {
+ name: "apply_gradients"
+ argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "compute_gradients"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "get_chief_queue_runner"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_init_tokens_op"
+ argspec: "args=[\'self\', \'num_tokens\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "get_name"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_slot"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "get_slot_names"
+ argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
+ }
+ member_method {
+ name: "make_session_run_hook"
+ argspec: "args=[\'self\', \'is_chief\', \'num_tokens\'], varargs=None, keywords=None, defaults=[\'-1\'], "
+ }
+ member_method {
+ name: "minimize"
+ argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "variables"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-vocab-info.pbtxt
new file mode 100644
index 00000000000..4ce7cb11116
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-vocab-info.pbtxt
@@ -0,0 +1,39 @@
+path: "tensorflow.train.VocabInfo"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>"
+ is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>"
+ is_instance: "<type \'tuple\'>"
+ member {
+ name: "backup_initializer"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "new_vocab"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "new_vocab_size"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "num_oov_buckets"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "old_vocab"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "old_vocab_size"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ }
+ member_method {
+ name: "count"
+ }
+ member_method {
+ name: "index"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-worker-session-creator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-worker-session-creator.pbtxt
new file mode 100644
index 00000000000..ac263580687
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-worker-session-creator.pbtxt
@@ -0,0 +1,14 @@
+path: "tensorflow.train.WorkerSessionCreator"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.monitored_session.WorkerSessionCreator\'>"
+ is_instance: "<class \'tensorflow.python.training.monitored_session.SessionCreator\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'scaffold\', \'master\', \'config\', \'max_wait_secs\'], varargs=None, keywords=None, defaults=[\'None\', \'\', \'None\', \'1800\'], "
+ }
+ member_method {
+ name: "create_session"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt
new file mode 100644
index 00000000000..b0fb04d7d4d
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt
@@ -0,0 +1,459 @@
+path: "tensorflow.train"
+tf_module {
+ member {
+ name: "AdadeltaOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "AdagradDAOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "AdagradOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "AdamOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "BytesList"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "Checkpoint"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "CheckpointSaverHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "CheckpointSaverListener"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ChiefSessionCreator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ClusterDef"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "ClusterSpec"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Coordinator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Example"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "ExponentialMovingAverage"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Feature"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "FeatureList"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "FeatureLists"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "Features"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "FeedFnHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "FinalOpsHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "FloatList"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "FtrlOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "GlobalStepWaiterHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "GradientDescentOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Int64List"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "JobDef"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "LoggingTensorHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "LooperThread"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MomentumOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "MonitoredSession"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "NanLossDuringTrainingError"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "NanTensorHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Optimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ProfilerHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ProximalAdagradOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ProximalGradientDescentOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "QueueRunner"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "RMSPropOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Saver"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SaverDef"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "Scaffold"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SecondOrStepTimer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SequenceExample"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "Server"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "ServerDef"
+ mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
+ }
+ member {
+ name: "SessionCreator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SessionManager"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SessionRunArgs"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SessionRunContext"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SessionRunHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SessionRunValues"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SingularMonitoredSession"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "StepCounterHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "StopAtStepHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SummarySaverHook"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "Supervisor"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "SyncReplicasOptimizer"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "VocabInfo"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "WorkerSessionCreator"
+ mtype: "<type \'type\'>"
+ }
+ member {
+ name: "queue_runner"
+ mtype: "<type \'module\'>"
+ }
+ member_method {
+ name: "MonitoredTrainingSession"
+ argspec: "args=[\'master\', \'is_chief\', \'checkpoint_dir\', \'scaffold\', \'hooks\', \'chief_only_hooks\', \'save_checkpoint_secs\', \'save_summaries_steps\', \'save_summaries_secs\', \'config\', \'stop_grace_period_secs\', \'log_step_count_steps\', \'max_wait_secs\', \'save_checkpoint_steps\', \'summary_dir\'], varargs=None, keywords=None, defaults=[\'\', \'True\', \'None\', \'None\', \'None\', \'None\', \'<object object instance>\', \'<object object instance>\', \'<object object instance>\', \'None\', \'120\', \'100\', \'7200\', \'<object object instance>\', \'None\'], "
+ }
+ member_method {
+ name: "NewCheckpointReader"
+ argspec: "args=[\'filepattern\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "add_queue_runner"
+ argspec: "args=[\'qr\', \'collection\'], varargs=None, keywords=None, defaults=[\'queue_runners\'], "
+ }
+ member_method {
+ name: "assert_global_step"
+ argspec: "args=[\'global_step_tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "basic_train_loop"
+ argspec: "args=[\'supervisor\', \'train_step_fn\', \'args\', \'kwargs\', \'master\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\'], "
+ }
+ member_method {
+ name: "batch"
+ argspec: "args=[\'tensors\', \'batch_size\', \'num_threads\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "batch_join"
+ argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "checkpoint_exists"
+ argspec: "args=[\'checkpoint_prefix\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "cosine_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\'], "
+ }
+ member_method {
+ name: "cosine_decay_restarts"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'2.0\', \'1.0\', \'0.0\', \'None\'], "
+ }
+ member_method {
+ name: "create_global_step"
+ argspec: "args=[\'graph\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "do_quantize_training_on_graphdef"
+ argspec: "args=[\'input_graph\', \'num_bits\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "exponential_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "export_meta_graph"
+ argspec: "args=[\'filename\', \'meta_info_def\', \'graph_def\', \'saver_def\', \'collection_list\', \'as_text\', \'graph\', \'export_scope\', \'clear_devices\', \'clear_extraneous_savers\', \'strip_default_attrs\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'False\', \'False\', \'False\'], "
+ }
+ member_method {
+ name: "generate_checkpoint_state_proto"
+ argspec: "args=[\'save_dir\', \'model_checkpoint_path\', \'all_model_checkpoint_paths\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_checkpoint_mtimes"
+ argspec: "args=[\'checkpoint_prefixes\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_checkpoint_state"
+ argspec: "args=[\'checkpoint_dir\', \'latest_filename\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_global_step"
+ argspec: "args=[\'graph\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "get_or_create_global_step"
+ argspec: "args=[\'graph\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "global_step"
+ argspec: "args=[\'sess\', \'global_step_tensor\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "import_meta_graph"
+ argspec: "args=[\'meta_graph_or_file\', \'clear_devices\', \'import_scope\'], varargs=None, keywords=kwargs, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "init_from_checkpoint"
+ argspec: "args=[\'ckpt_dir_or_file\', \'assignment_map\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "input_producer"
+ argspec: "args=[\'input_tensor\', \'element_shape\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'summary_name\', \'name\', \'cancel_op\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'None\', \'32\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "inverse_time_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "latest_checkpoint"
+ argspec: "args=[\'checkpoint_dir\', \'latest_filename\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "limit_epochs"
+ argspec: "args=[\'tensor\', \'num_epochs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "linear_cosine_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'num_periods\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'0.0\', \'0.001\', \'None\'], "
+ }
+ member_method {
+ name: "list_variables"
+ argspec: "args=[\'ckpt_dir_or_file\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "load_checkpoint"
+ argspec: "args=[\'ckpt_dir_or_file\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "load_variable"
+ argspec: "args=[\'ckpt_dir_or_file\', \'name\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "match_filenames_once"
+ argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
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+ name: "maybe_batch"
+ argspec: "args=[\'tensors\', \'keep_input\', \'batch_size\', \'num_threads\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "maybe_batch_join"
+ argspec: "args=[\'tensors_list\', \'keep_input\', \'batch_size\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "maybe_shuffle_batch"
+ argspec: "args=[\'tensors\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'keep_input\', \'num_threads\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "maybe_shuffle_batch_join"
+ argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'keep_input\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "natural_exp_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+ }
+ member_method {
+ name: "noisy_linear_cosine_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'initial_variance\', \'variance_decay\', \'num_periods\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'1.0\', \'0.55\', \'0.5\', \'0.0\', \'0.001\', \'None\'], "
+ }
+ member_method {
+ name: "piecewise_constant"
+ argspec: "args=[\'x\', \'boundaries\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "polynomial_decay"
+ argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'end_learning_rate\', \'power\', \'cycle\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1.0\', \'False\', \'None\'], "
+ }
+ member_method {
+ name: "range_input_producer"
+ argspec: "args=[\'limit\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'32\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "remove_checkpoint"
+ argspec: "args=[\'checkpoint_prefix\', \'checkpoint_format_version\', \'meta_graph_suffix\'], varargs=None, keywords=None, defaults=[\'2\', \'meta\'], "
+ }
+ member_method {
+ name: "replica_device_setter"
+ argspec: "args=[\'ps_tasks\', \'ps_device\', \'worker_device\', \'merge_devices\', \'cluster\', \'ps_ops\', \'ps_strategy\'], varargs=None, keywords=None, defaults=[\'0\', \'/job:ps\', \'/job:worker\', \'True\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "sdca_fprint"
+ argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "sdca_optimizer"
+ argspec: "args=[\'sparse_example_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_weights\', \'example_labels\', \'sparse_indices\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\', \'num_loss_partitions\', \'num_inner_iterations\', \'adaptative\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+ }
+ member_method {
+ name: "sdca_shrink_l1"
+ argspec: "args=[\'weights\', \'l1\', \'l2\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "shuffle_batch"
+ argspec: "args=[\'tensors\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'num_threads\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "shuffle_batch_join"
+ argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "slice_input_producer"
+ argspec: "args=[\'tensor_list\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'32\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "start_queue_runners"
+ argspec: "args=[\'sess\', \'coord\', \'daemon\', \'start\', \'collection\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'True\', \'queue_runners\'], "
+ }
+ member_method {
+ name: "string_input_producer"
+ argspec: "args=[\'string_tensor\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'name\', \'cancel_op\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'32\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "summary_iterator"
+ argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "update_checkpoint_state"
+ argspec: "args=[\'save_dir\', \'model_checkpoint_path\', \'all_model_checkpoint_paths\', \'latest_filename\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+ }
+ member_method {
+ name: "warm_start"
+ argspec: "args=[\'ckpt_to_initialize_from\', \'vars_to_warm_start\', \'var_name_to_vocab_info\', \'var_name_to_prev_var_name\'], varargs=None, keywords=None, defaults=[\'.*\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "write_graph"
+ argspec: "args=[\'graph_or_graph_def\', \'logdir\', \'name\', \'as_text\'], varargs=None, keywords=None, defaults=[\'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.-queue-runner.pbtxt
new file mode 100644
index 00000000000..23d402de308
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.-queue-runner.pbtxt
@@ -0,0 +1,49 @@
+path: "tensorflow.train.queue_runner.QueueRunner"
+tf_class {
+ is_instance: "<class \'tensorflow.python.training.queue_runner_impl.QueueRunner\'>"
+ is_instance: "<type \'object\'>"
+ member {
+ name: "cancel_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "close_op"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "enqueue_ops"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "exceptions_raised"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "name"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue"
+ mtype: "<type \'property\'>"
+ }
+ member {
+ name: "queue_closed_exception_types"
+ mtype: "<type \'property\'>"
+ }
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'queue\', \'enqueue_ops\', \'close_op\', \'cancel_op\', \'queue_closed_exception_types\', \'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+ }
+ member_method {
+ name: "create_threads"
+ argspec: "args=[\'self\', \'sess\', \'coord\', \'daemon\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\'], "
+ }
+ member_method {
+ name: "from_proto"
+ argspec: "args=[\'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+ member_method {
+ name: "to_proto"
+ argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.pbtxt
new file mode 100644
index 00000000000..6e2d0430496
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.pbtxt
@@ -0,0 +1,15 @@
+path: "tensorflow.train.queue_runner"
+tf_module {
+ member {
+ name: "QueueRunner"
+ mtype: "<type \'type\'>"
+ }
+ member_method {
+ name: "add_queue_runner"
+ argspec: "args=[\'qr\', \'collection\'], varargs=None, keywords=None, defaults=[\'queue_runners\'], "
+ }
+ member_method {
+ name: "start_queue_runners"
+ argspec: "args=[\'sess\', \'coord\', \'daemon\', \'start\', \'collection\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'True\', \'queue_runners\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.truncated_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.truncated_normal_initializer.pbtxt
new file mode 100644
index 00000000000..c1e1c230a9f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.truncated_normal_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.truncated_normal_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.uniform_unit_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.uniform_unit_scaling_initializer.pbtxt
new file mode 100644
index 00000000000..e1b18dc92fb
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.uniform_unit_scaling_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.uniform_unit_scaling_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.UniformUnitScaling\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'factor\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.variable_scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.variable_scope.pbtxt
new file mode 100644
index 00000000000..e62dec93e6f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.variable_scope.pbtxt
@@ -0,0 +1,9 @@
+path: "tensorflow.variable_scope"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.variable_scope.variable_scope\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'name_or_scope\', \'default_name\', \'values\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'reuse\', \'dtype\', \'use_resource\', \'constraint\', \'auxiliary_name_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\'], "
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.variance_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.variance_scaling_initializer.pbtxt
new file mode 100644
index 00000000000..09d7bc03b4f
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.variance_scaling_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.variance_scaling_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.VarianceScaling\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.zeros_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.zeros_initializer.pbtxt
new file mode 100644
index 00000000000..e229b02ceec
--- /dev/null
+++ b/tensorflow/tools/api/golden/v2/tensorflow.zeros_initializer.pbtxt
@@ -0,0 +1,18 @@
+path: "tensorflow.zeros_initializer"
+tf_class {
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>"
+ is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>"
+ is_instance: "<type \'object\'>"
+ member_method {
+ name: "__init__"
+ argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], "
+ }
+ member_method {
+ name: "from_config"
+ argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+ }
+ member_method {
+ name: "get_config"
+ argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+ }
+}
diff --git a/tensorflow/tools/api/tests/BUILD b/tensorflow/tools/api/tests/BUILD
index 724b12cd479..8764409e4d1 100644
--- a/tensorflow/tools/api/tests/BUILD
+++ b/tensorflow/tools/api/tests/BUILD
@@ -17,7 +17,8 @@ py_test(
name = "api_compatibility_test",
srcs = ["api_compatibility_test.py"],
data = [
- "//tensorflow/tools/api/golden:api_golden",
+ "//tensorflow/tools/api/golden:api_golden_v1",
+ "//tensorflow/tools/api/golden:api_golden_v2",
"//tensorflow/tools/api/tests:API_UPDATE_WARNING.txt",
"//tensorflow/tools/api/tests:README.txt",
],
diff --git a/tensorflow/tools/api/tests/api_compatibility_test.py b/tensorflow/tools/api/tests/api_compatibility_test.py
index d1b34fb242c..d680b966730 100644
--- a/tensorflow/tools/api/tests/api_compatibility_test.py
+++ b/tensorflow/tools/api/tests/api_compatibility_test.py
@@ -70,19 +70,25 @@ _VERBOSE_DIFFS_HELP = """
false, only print which libraries have differences.
"""
-_API_GOLDEN_FOLDER = 'tensorflow/tools/api/golden'
+_API_GOLDEN_FOLDER_V1 = 'tensorflow/tools/api/golden/v1'
+_API_GOLDEN_FOLDER_V2 = 'tensorflow/tools/api/golden/v2'
_TEST_README_FILE = 'tensorflow/tools/api/tests/README.txt'
_UPDATE_WARNING_FILE = 'tensorflow/tools/api/tests/API_UPDATE_WARNING.txt'
-def _KeyToFilePath(key):
- """From a given key, construct a filepath."""
+def _KeyToFilePath(key, api_version):
+ """From a given key, construct a filepath.
+
+ Filepath will be inside golden folder for api_version.
+ """
def _ReplaceCapsWithDash(matchobj):
match = matchobj.group(0)
return '-%s' % (match.lower())
case_insensitive_key = re.sub('([A-Z]{1})', _ReplaceCapsWithDash, key)
- return os.path.join(_API_GOLDEN_FOLDER, '%s.pbtxt' % case_insensitive_key)
+ api_folder = (
+ _API_GOLDEN_FOLDER_V2 if api_version == 2 else _API_GOLDEN_FOLDER_V1)
+ return os.path.join(_API_GOLDEN_FOLDER_V1, '%s.pbtxt' % case_insensitive_key)
def _FileNameToKey(filename):
@@ -120,7 +126,8 @@ class ApiCompatibilityTest(test.TestCase):
actual_dict,
verbose=False,
update_goldens=False,
- additional_missing_object_message=''):
+ additional_missing_object_message='',
+ api_version=2):
"""Diff given dicts of protobufs and report differences a readable way.
Args:
@@ -133,6 +140,7 @@ class ApiCompatibilityTest(test.TestCase):
update_goldens: Whether to update goldens when there are diffs found.
additional_missing_object_message: Message to print when a symbol is
missing.
+ api_version: TensorFlow API version to test.
"""
diffs = []
verbose_diffs = []
@@ -188,13 +196,13 @@ class ApiCompatibilityTest(test.TestCase):
# If the keys are only in expected, some objects are deleted.
# Remove files.
for key in only_in_expected:
- filepath = _KeyToFilePath(key)
+ filepath = _KeyToFilePath(key, api_version)
file_io.delete_file(filepath)
# If the files are only in actual (current library), these are new
# modules. Write them to files. Also record all updates in files.
for key in only_in_actual | set(updated_keys):
- filepath = _KeyToFilePath(key)
+ filepath = _KeyToFilePath(key, api_version)
file_io.write_string_to_file(
filepath, text_format.MessageToString(actual_dict[key]))
else:
@@ -223,8 +231,8 @@ class ApiCompatibilityTest(test.TestCase):
visitor.do_not_descend_map['tf'].append('contrib')
traverse.traverse(tf, visitor)
- def checkBackwardsCompatibility(self, root, golden_file_pattern):
- # Extract all API stuff.
+ def checkBackwardsCompatibility(self, root, golden_file_pattern, api_version):
+ # Extract all API stuff.
visitor = python_object_to_proto_visitor.PythonObjectToProtoVisitor()
public_api_visitor = public_api.PublicAPIVisitor(visitor)
@@ -254,16 +262,18 @@ class ApiCompatibilityTest(test.TestCase):
golden_proto_dict,
proto_dict,
verbose=FLAGS.verbose_diffs,
- update_goldens=FLAGS.update_goldens)
+ update_goldens=FLAGS.update_goldens,
+ api_version=api_version)
@unittest.skipUnless(
sys.version_info.major == 2,
'API compabitility test goldens are generated using python2.')
def testAPIBackwardsCompatibility(self):
+ api_version = 2
golden_file_pattern = os.path.join(
resource_loader.get_root_dir_with_all_resources(),
- _KeyToFilePath('*'))
- self.checkBackwardsCompatibility(tf, golden_file_pattern)
+ _KeyToFilePath('*', api_version))
+ self.checkBackwardsCompatibility(tf, golden_file_pattern, api_version)
@unittest.skipUnless(
sys.version_info.major == 2,
@@ -271,10 +281,11 @@ class ApiCompatibilityTest(test.TestCase):
def testAPIBackwardsCompatibilityV1(self):
if not tf_v1:
return
+ api_version = 1
golden_file_pattern = os.path.join(
resource_loader.get_root_dir_with_all_resources(),
- _KeyToFilePath('*'))
- self.checkBackwardsCompatibility(tf_v1, golden_file_pattern)
+ _KeyToFilePath('*', api_version))
+ self.checkBackwardsCompatibility(tf_v1, golden_file_pattern, api_version)
if __name__ == '__main__':