STT-tensorflow/tensorflow/tools/api/golden/v1
Rick Chao 4d13d6416d Make cluster_resolver standard property in tf.distribute strategies.
PiperOrigin-RevId: 317771299
Change-Id: I71b5c585cef7bd7ef80e66b75e30287fddcf89e2
2020-06-22 18:19:14 -07:00
..
tensorflow.-aggregation-method.pbtxt Split-up gradients_impl into gradients_util 2019-01-31 14:37:54 -08:00
tensorflow.-attr-value.-list-value.pbtxt
tensorflow.-attr-value.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-conditional-accumulator-base.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-conditional-accumulator.pbtxt Extend ConditionalAccumulator with SUM functionality. 2018-09-06 10:06:12 -07:00
tensorflow.-config-proto.-device-count-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-config-proto.-experimental.pbtxt [TF:MLIR] Add generic MLIR pass registration mechanism. 2020-03-10 16:04:53 -07:00
tensorflow.-config-proto.pbtxt [TF:MLIR] Add generic MLIR pass registration mechanism. 2020-03-10 16:04:53 -07:00
tensorflow.-critical-section.pbtxt Expose CriticalSection in core as tf.CriticalSection. 2019-02-08 17:23:19 -08:00
tensorflow.-d-type.pbtxt dtypes.DType is now a wrapper around tensorflow::DataType 2019-11-27 02:36:11 -08:00
tensorflow.-device-spec.pbtxt Implement several optimizations to reduce graph construction time. 2019-04-10 21:08:37 -07:00
tensorflow.-dimension.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-event.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-f-i-f-o-queue.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-fixed-len-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.-fixed-len-sequence-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.-fixed-length-record-reader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-g-p-u-options.pbtxt Implement GPU device priority for virtual devices. 2020-06-02 22:31:35 -07:00
tensorflow.-gradient-tape.pbtxt Add parallel_iterations option to batch_jacobian and jacobian functions. 2018-11-28 15:05:03 -08:00
tensorflow.-graph-def.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-graph-keys.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-graph-options.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-graph.pbtxt Make Graph().create_op() dtype argument optional. 2019-03-13 10:45:44 -07:00
tensorflow.-histogram-proto.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-identity-reader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-indexed-slices-spec.pbtxt Fix default value of IndexedSlicesSpec dense_shape_dtype to be 2019-06-25 22:30:24 -07:00
tensorflow.-indexed-slices.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.-interactive-session.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-l-m-d-b-reader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-log-message.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-meta-graph-def.-collection-def-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-meta-graph-def.-meta-info-def.-function-aliases-entry.pbtxt TF2 TPU SavedModel Export API 2020-01-13 16:36:49 -08:00
tensorflow.-meta-graph-def.-meta-info-def.pbtxt TF2 TPU SavedModel Export API 2020-01-13 16:36:49 -08:00
tensorflow.-meta-graph-def.-signature-def-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-meta-graph-def.pbtxt TF2 TPU SavedModel Export API 2020-01-13 16:36:49 -08:00
tensorflow.-module.pbtxt Remove implicit name scoping from tf.Modules. 2019-02-25 09:15:28 -08:00
tensorflow.-name-attr-list.-attr-entry.pbtxt
tensorflow.-name-attr-list.pbtxt
tensorflow.-node-def.-attr-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-node-def.-experimental-debug-info.pbtxt Collect node debug information for frozen graphs 2019-06-18 22:30:47 -07:00
tensorflow.-node-def.pbtxt Collect node debug information for frozen graphs 2019-06-18 22:30:47 -07:00
tensorflow.-op-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-operation.pbtxt Removed StackFrame.func_start_lineno and Operation.traceback_with_start_lines 2019-08-28 14:32:50 -07:00
tensorflow.-optimizer-options.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-optional-spec.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.-padding-f-i-f-o-queue.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-priority-queue.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-queue-base.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-ragged-tensor-spec.pbtxt Rolling back a change that broke backwards compatibility. 2020-03-25 09:57:35 -07:00
tensorflow.-ragged-tensor.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.-random-shuffle-queue.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-reader-base.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-register-gradient.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-run-metadata.-function-graphs.pbtxt Add post optimization graph to RunMetadata (when running eager functions) 2019-02-13 13:57:17 -08:00
tensorflow.-run-metadata.pbtxt Add post optimization graph to RunMetadata (when running eager functions) 2019-02-13 13:57:17 -08:00
tensorflow.-run-options.-experimental.-run-handler-pool-options.pbtxt Add priority into Run Handler thread pool options. Run handler thread pool will take consideration of the priorities of requests when scheduling ops. 2020-03-05 14:52:39 -08:00
tensorflow.-run-options.-experimental.pbtxt Add priority into Run Handler thread pool options. Run handler thread pool will take consideration of the priorities of requests when scheduling ops. 2020-03-05 14:52:39 -08:00
tensorflow.-run-options.pbtxt Add priority into Run Handler thread pool options. Run handler thread pool will take consideration of the priorities of requests when scheduling ops. 2020-03-05 14:52:39 -08:00
tensorflow.-session-log.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-session.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-sparse-conditional-accumulator.pbtxt Extend ConditionalAccumulator with SUM functionality. 2018-09-06 10:06:12 -07:00
tensorflow.-sparse-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.-sparse-tensor-spec.pbtxt Add properties SparseTensorSpec.dtype and SparseTensorSpec.shape 2019-07-31 14:34:45 -07:00
tensorflow.-sparse-tensor-value.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-sparse-tensor.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.-summary-metadata.-plugin-data.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-summary-metadata.pbtxt Add data class metadata to Summary protos 2020-01-22 16:15:53 -08:00
tensorflow.-summary.-audio.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-summary.-image.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-summary.-value.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-summary.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-t-f-record-reader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-tensor-array-spec.pbtxt Add new "TypeSpec" classes, which can be used to specify types for objects accepted or returned by TensorFlow APIs. For example, TypeSpec subclasses may be used in tf.function's input_signature argument, and in tf.while_loop's shape_invariant argument. 2019-06-13 15:56:28 -07:00
tensorflow.-tensor-array.pbtxt [TF] Add support for TensorArrays to tf.data Dataset. 2019-04-09 15:13:00 -07:00
tensorflow.-tensor-info.-composite-tensor.pbtxt Update the TensorInfo protobuf message with an encoding for composite tensors; and update SavedModel to use this new encoding. 2019-08-09 15:30:44 -07:00
tensorflow.-tensor-info.-coo-sparse.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-tensor-info.pbtxt Update the TensorInfo protobuf message with an encoding for composite tensors; and update SavedModel to use this new encoding. 2019-08-09 15:30:44 -07:00
tensorflow.-tensor-shape.pbtxt Simplify TensorShape v1/v2 switch (and fix bugs in it). Note that this means that whenever v2 behavior is enabled, all functions (including compat.v1 functions) will return 2019-02-13 22:47:48 -08:00
tensorflow.-tensor-spec.pbtxt Add Variable encoding so that functions with variable arguments can be saved to SavedModel. 2019-10-31 16:41:04 -07:00
tensorflow.-tensor.pbtxt Make core.Tensor the base type for Tensor and replace the register_dense_tensor_like with direct subclassing. 2020-05-12 14:57:45 -07:00
tensorflow.-text-line-reader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-type-spec.pbtxt Add new "TypeSpec" classes, which can be used to specify types for objects accepted or returned by TensorFlow APIs. For example, TypeSpec subclasses may be used in tf.function's input_signature argument, and in tf.while_loop's shape_invariant argument. 2019-06-13 15:56:28 -07:00
tensorflow.-unconnected-gradients.pbtxt Add option in tf.gradients() to return zero tensors for unconnected gradients. 2018-10-04 06:14:08 -07:00
tensorflow.-var-len-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.-variable-aggregation.pbtxt Step 1 of "tower" -> "replica" terminology transition for DistributionStrategy. 2018-10-17 22:38:46 -07:00
tensorflow.-variable-scope.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-variable-synchronization.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-variable.-save-slice-info.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-variable.pbtxt Make experimental_ref no longer experimental 2020-02-10 10:56:24 -08:00
tensorflow.-whole-file-reader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.app.pbtxt
tensorflow.audio.pbtxt PR #25273 (updated): Add decode_wav api endpoint 2019-02-01 15:30:47 -08:00
tensorflow.autograph.experimental.-feature.pbtxt Reactivate logical operators: not, and, or, which aren't supported by Python's operator overloading. Move the equality operator under a new experimental feature which will be eventually deprecated. 2019-05-18 10:02:48 -07:00
tensorflow.autograph.experimental.pbtxt Enable support for loop directives, include shape_invariants. 2019-12-17 06:15:26 -08:00
tensorflow.autograph.pbtxt Switch default for autograph.(to_graph|to_code|convert) to optional_features=None to better align with tf.function 2019-04-11 11:40:11 -07:00
tensorflow.bitwise.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.compat.pbtxt Export Dimension related compatibility tooling to compat. 2018-12-20 13:48:48 -08:00
tensorflow.config.-logical-device-configuration.pbtxt Implement GPU device priority for virtual devices. 2020-06-02 22:31:35 -07:00
tensorflow.config.-logical-device.pbtxt Make device listing APIs non-experimental 2019-11-05 02:14:04 -08:00
tensorflow.config.-physical-device.pbtxt Make device listing APIs non-experimental 2019-11-05 02:14:04 -08:00
tensorflow.config.experimental.-cluster-device-filters.pbtxt Allow configuring device filters in eager cluster to isolate workers. 2020-01-29 16:24:08 -08:00
tensorflow.config.experimental.-virtual-device-configuration.pbtxt Implement GPU device priority for virtual devices. 2020-06-02 22:31:35 -07:00
tensorflow.config.experimental.pbtxt Add get_device_details API. 2020-06-11 11:42:48 -07:00
tensorflow.config.optimizer.pbtxt Expose optimizer options in tf.config 2019-03-18 16:53:34 -07:00
tensorflow.config.pbtxt Removing experimental from run_functions_eagerly. Also removed all references for the experimental one from documentation. 2020-04-29 09:28:20 -07:00
tensorflow.config.threading.pbtxt Add get_ prefix to parallelism_threads APIs 2019-06-04 01:16:15 -07:00
tensorflow.constant_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.data.-dataset-spec.pbtxt In DatasetSpec constructor, convert dataset_shape to a shape. 2019-07-15 18:14:29 -07:00
tensorflow.data.-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-fixed-length-record-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-iterator.pbtxt [tf.data] Exposing dataset / iterator element type specification in the public API as element_spec. 2019-07-02 13:56:20 -07:00
tensorflow.data.-options.pbtxt Getting rid of experimental_allow_stateful now that we have experimental_external_state_policy instead. 2019-10-22 12:29:45 -07:00
tensorflow.data.-t-f-record-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-text-line-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-auto-shard-policy.pbtxt Consolidate DistributeOptions.auto_shard into DistributeOptions.auto_shard_policy. 2019-10-21 16:03:57 -07:00
tensorflow.data.experimental.-checkpoint-input-pipeline-hook.pbtxt Handle ExternalStatePolicy during Iterator::Save(). This CL adds an optional external_state_policy attr to the SerializeIterator op which is by default set to FAIL thereby keeping the behavior the same as before. Now users can override it if they want something else. This CL also exposes this option in the CheckpointInputPipelineHook. 2019-12-18 19:56:11 -08:00
tensorflow.data.experimental.-csv-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-dataset-structure.pbtxt In DatasetSpec constructor, convert dataset_shape to a shape. 2019-07-15 18:14:29 -07:00
tensorflow.data.experimental.-distribute-options.pbtxt Consolidate DistributeOptions.auto_shard into DistributeOptions.auto_shard_policy. 2019-10-21 16:03:57 -07:00
tensorflow.data.experimental.-map-vectorization-options.pbtxt [tf.data] Add option to control whether vectorization is aggressive (i.e. always vectorizes) or safe (i.e. uses ChooseFastestBranchDataset) 2019-03-19 09:23:14 -07:00
tensorflow.data.experimental.-optimization-options.pbtxt 1) Remove autotune_algorithm from experimental_options. Instead, use HILL_CLIMB when buffer size autotuning is disabled and GRADIENT_DESCENT when buffer size autotuning is enabled. 2019-12-04 17:06:52 -08:00
tensorflow.data.experimental.-optional-structure.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-optional.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-random-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-reducer.pbtxt [tf.data] Deprecate tf.contrib.data and introduce tf.data.experimental to replace it. 2018-10-01 16:50:05 -07:00
tensorflow.data.experimental.-sql-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-stats-aggregator.pbtxt [data-stats] Adds TF 2.0 support for tf.data StatsAggregator. 2019-03-22 14:51:26 -07:00
tensorflow.data.experimental.-stats-options.pbtxt [tf.data] Options-related changes. 2018-11-21 14:50:01 -08:00
tensorflow.data.experimental.-structure.pbtxt Add TypeSpec subclasses 2019-06-03 16:24:57 -07:00
tensorflow.data.experimental.-t-f-record-writer.pbtxt [tf.data] Deprecate tf.contrib.data and introduce tf.data.experimental to replace it. 2018-10-01 16:50:05 -07:00
tensorflow.data.experimental.-threading-options.pbtxt [tf.data] Options-related changes. 2018-11-21 14:50:01 -08:00
tensorflow.data.experimental.pbtxt Add implementation for snapshot dataset v2. 2020-06-01 20:38:27 -07:00
tensorflow.data.experimental.service.pbtxt [tf.data service] Export distribute transformation 2020-05-28 11:18:21 -07:00
tensorflow.data.pbtxt [tf.data] Move cardinality to core API. 2020-06-01 18:51:21 -07:00
tensorflow.debugging.experimental.pbtxt [tfdbg] Add public API tf.debugging.experimental.(enable|disable)_dump_debug_info() 2019-11-06 14:10:07 -08:00
tensorflow.debugging.pbtxt [tfdbg] Add public API tf.debugging.experimental.(enable|disable)_dump_debug_info() 2019-11-06 14:10:07 -08:00
tensorflow.distribute.-cross-device-ops.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-hierarchical-copy-all-reduce.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-input-context.pbtxt Move distribute.py, distribution_strategy_context.py, and device_util.py 2018-11-25 18:06:53 -08:00
tensorflow.distribute.-input-replication-mode.pbtxt Create tf.distribute namespace with the base classes and standard APIs 2018-11-19 10:26:57 -08:00
tensorflow.distribute.-mirrored-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.-nccl-all-reduce.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-one-device-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.-reduce-op.pbtxt Create tf.distribute namespace with the base classes and standard APIs 2018-11-19 10:26:57 -08:00
tensorflow.distribute.-reduction-to-one-device.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-replica-context.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-run-options.pbtxt Add a padding_spec argument into tpu.replicate, which provides the functionality of auto bucketing inputs. 2020-02-14 14:31:09 -08:00
tensorflow.distribute.-server.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.distribute.-strategy-extended.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.cluster_resolver.-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-g-c-e-cluster-resolver.pbtxt Making Cluster Resolvers visible by default for TensorFlow 2.0 transition 2019-01-28 18:55:12 -08:00
tensorflow.distribute.cluster_resolver.-kubernetes-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-simple-cluster-resolver.pbtxt Patch Simple/Union/Slurm/TPUClusterResolver to use the new num_accelerators function prototype. 2019-02-22 12:01:19 -08:00
tensorflow.distribute.cluster_resolver.-slurm-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-t-f-config-cluster-resolver.pbtxt Making Cluster Resolvers visible by default for TensorFlow 2.0 transition 2019-01-28 18:55:12 -08:00
tensorflow.distribute.cluster_resolver.-t-p-u-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-union-resolver.pbtxt Patch Simple/Union/Slurm/TPUClusterResolver to use the new num_accelerators function prototype. 2019-02-22 12:01:19 -08:00
tensorflow.distribute.cluster_resolver.pbtxt Making Cluster Resolvers visible by default for TensorFlow 2.0 transition 2019-01-28 18:55:12 -08:00
tensorflow.distribute.experimental.-central-storage-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-collective-communication.pbtxt Enable user to choose between all-reduce implementations in 2019-02-27 16:01:57 -08:00
tensorflow.distribute.experimental.-collective-hints.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.experimental.-multi-worker-mirrored-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-parameter-server-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-t-p-u-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.pbtxt Add a padding_spec argument into tpu.replicate, which provides the functionality of auto bucketing inputs. 2020-02-14 14:31:09 -08:00
tensorflow.distributions.-bernoulli.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-beta.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-categorical.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-dirichlet-multinomial.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-dirichlet.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-distribution.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-exponential.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-gamma.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-laplace.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-multinomial.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-normal.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-register-k-l.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-reparameterization-type.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-student-t.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.-uniform.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.distributions.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.dtypes.-d-type.pbtxt dtypes.DType is now a wrapper around tensorflow::DataType 2019-11-27 02:36:11 -08:00
tensorflow.dtypes.pbtxt dtypes.DType is now a wrapper around tensorflow::DataType 2019-11-27 02:36:11 -08:00
tensorflow.errors.-aborted-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-already-exists-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-cancelled-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-data-loss-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-deadline-exceeded-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-failed-precondition-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-internal-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-invalid-argument-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-not-found-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-op-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-out-of-range-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-permission-denied-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-resource-exhausted-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unauthenticated-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unavailable-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unimplemented-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unknown-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.pbtxt
tensorflow.errors.raise_exception_on_not_ok_status.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.estimator.-baseline-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-baseline-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-baseline-regressor.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-best-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-binary-class-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-boosted-trees-classifier.pbtxt Support multi class/label and categorical columns in Python API. 2020-01-29 14:13:01 -08:00
tensorflow.estimator.-boosted-trees-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-boosted-trees-regressor.pbtxt Support multi class/label and categorical columns in Python API. 2020-01-29 14:13:01 -08:00
tensorflow.estimator.-checkpoint-saver-hook.pbtxt (1/2) Add option to not export Graph protos when training the Estimator. 2019-10-10 12:40:44 -07:00
tensorflow.estimator.-checkpoint-saver-listener.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-d-n-n-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-linear-combined-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
tensorflow.estimator.-d-n-n-regressor.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-estimator-spec.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-eval-spec.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-feed-fn-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-final-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-final-ops-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-global-step-waiter-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-latest-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-linear-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-linear-estimator.pbtxt warm_start_from arg is added to LinearEstimator in TF 2.x 2020-04-15 19:51:03 -07:00
tensorflow.estimator.-linear-regressor.pbtxt
tensorflow.estimator.-logging-tensor-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-logistic-regression-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-mode-keys.pbtxt Import Estimator ModeKeys from core, and remove ModeKeysV2. 2019-02-12 09:56:00 -08:00
tensorflow.estimator.-multi-class-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-multi-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-multi-label-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-nan-loss-during-training-error.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-nan-tensor-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-poisson-regression-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-profiler-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-regression-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-run-config.pbtxt Expose session_creation_timeout_secs in estimator RunConfig 2019-09-04 21:00:53 -07:00
tensorflow.estimator.-second-or-step-timer.pbtxt
tensorflow.estimator.-session-run-args.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-session-run-context.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-session-run-hook.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-session-run-values.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-step-counter-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-stop-at-step-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-summary-saver-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-train-spec.pbtxt Add saving_listeners to tf.estimator.TrainSpec so users may pass tf.estimator.CheckpointSaverListeners. 2020-03-24 08:07:48 -07:00
tensorflow.estimator.-vocab-info.pbtxt Expose an axis argument for VocabInfo, which allows for warm-starting of the second axis of Tensors through tf.train.warm_start. Note that the underlying initializer already has this functionality (for example, for output layers). 2018-09-05 15:42:44 -07:00
tensorflow.estimator.-warm-start-settings.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.experimental.-in-memory-evaluator-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.experimental.-k-means.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.experimental.-linear-s-d-c-a.pbtxt Migrate the SDCA optimizer to tensorflow_estimator. 2018-10-25 11:34:05 -07:00
tensorflow.estimator.experimental.pbtxt Remove logit_fn_builder API in TF 2.0, and keep it only in TF 1.x. 2019-04-12 18:41:00 -07:00
tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt Resolve @annarev's comments 2018-10-16 21:24:43 -07:00
tensorflow.estimator.export.-classification-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-export-output.__metaclass__.pbtxt Resolve @annarev's comments 2018-10-16 21:24:43 -07:00
tensorflow.estimator.export.-export-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt Resolve @annarev's comments 2018-10-16 21:24:43 -07:00
tensorflow.estimator.export.-predict-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
tensorflow.estimator.export.-regression-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-serving-input-receiver.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.export.pbtxt Resolve @annarev's comments 2018-10-16 21:24:43 -07:00
tensorflow.estimator.inputs.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.estimator.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.tpu.-input-pipeline-config.pbtxt Copy TPUEstimator to Estimator. 2019-04-16 14:56:17 -07:00
tensorflow.estimator.tpu.-run-config.pbtxt Expose session_creation_timeout_secs in estimator RunConfig 2019-09-04 21:00:53 -07:00
tensorflow.estimator.tpu.-t-p-u-config.pbtxt Add option to TPUEstimator to only perform outfeed every n steps during a TPU training loop. 2019-06-12 11:55:03 -07:00
tensorflow.estimator.tpu.-t-p-u-estimator-spec.pbtxt Copy TPUEstimator to Estimator. 2019-04-16 14:56:17 -07:00
tensorflow.estimator.tpu.-t-p-u-estimator.pbtxt Remove experimental_export_device_assignment from TPUEstimator.export_savedmodel(), so as to remove rewrite_for_inference(). 2019-06-06 16:34:49 -07:00
tensorflow.estimator.tpu.experimental.-embedding-config-spec.pbtxt Enable TensorCore embeddings for training via FeatureColumnV2. 2020-05-19 13:28:12 -07:00
tensorflow.estimator.tpu.experimental.pbtxt Export TPU Embedding related symbols to their respective name spaces (tf.tpu and tf.estimator.tpu). 2019-06-19 17:32:47 -07:00
tensorflow.estimator.tpu.pbtxt Export TPU Embedding related symbols to their respective name spaces (tf.tpu and tf.estimator.tpu). 2019-06-19 17:32:47 -07:00
tensorflow.experimental.-optional.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.experimental.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.feature_column.pbtxt Embedding feature column performance optimization. 2020-01-29 12:23:01 -08:00
tensorflow.gfile.-fast-g-file.pbtxt Update api golden for api compatibility 2019-04-21 03:27:58 +00:00
tensorflow.gfile.-g-file.pbtxt Update api golden for api compatibility 2019-04-21 03:27:58 +00:00
tensorflow.gfile.-open.pbtxt Update api golden for api compatibility 2019-04-21 03:27:58 +00:00
tensorflow.gfile.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.glorot_normal_initializer.pbtxt Update API goldens 2018-08-10 20:50:30 +00:00
tensorflow.glorot_uniform_initializer.pbtxt Update API goldens 2018-08-10 20:50:30 +00:00
tensorflow.graph_util.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.image.-resize-method.pbtxt Wrapper for new resize operation, that fixes the half pixel bug in previous resize method. Adds new sampling kernels and an anti-aliasing option. Fixes #6720. 2019-02-28 19:17:15 -08:00
tensorflow.image.pbtxt Replace non_max_suppression_padded with a new implementation that supports batched inputs. This new implementation is considerably faster than previous implementations on TPU and GPU. 2020-03-24 13:12:38 -07:00
tensorflow.initializers.constant.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.glorot_normal.pbtxt Update API goldens 2018-08-10 20:50:30 +00:00
tensorflow.initializers.glorot_uniform.pbtxt Update API goldens 2018-08-10 20:50:30 +00:00
tensorflow.initializers.identity.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.ones.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.orthogonal.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.initializers.random_normal.pbtxt
tensorflow.initializers.random_uniform.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.truncated_normal.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.uniform_unit_scaling.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.variance_scaling.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.initializers.zeros.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.io.-fixed-len-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-fixed-len-sequence-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-padding-f-i-f-o-queue.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-priority-queue.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-queue-base.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-ragged-feature.-row-lengths.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-limits.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-splits.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-starts.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-uniform-row-length.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-value-row-ids.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-random-shuffle-queue.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-sparse-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-t-f-record-compression-type.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-t-f-record-options.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-t-f-record-writer.pbtxt Converted py_record_writer.i and py_record_reader.i to pybind11 2019-12-18 07:36:29 -08:00
tensorflow.io.-var-len-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.gfile.-g-file.pbtxt Update api golden for api compatibility 2019-04-21 03:27:58 +00:00
tensorflow.io.gfile.pbtxt Fix GFile tf_export for v2. 2018-12-26 15:34:31 -08:00
tensorflow.io.pbtxt Update API goldens 2020-03-10 09:16:01 +05:30
tensorflow.keras.-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.-sequential.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.activations.pbtxt Add EfficientNetB0 to B7 to Keras Applications. 2019-12-20 11:47:56 -08:00
tensorflow.keras.applications.densenet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.efficientnet.pbtxt Export EfficientNet models to the public API. 2020-04-13 12:11:48 -07:00
tensorflow.keras.applications.imagenet_utils.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.inception_resnet_v2.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.inception_v3.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.mobilenet_v2.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.mobilenet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.nasnet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.pbtxt Export EfficientNet models to the public API. 2020-04-13 12:11:48 -07:00
tensorflow.keras.applications.resnet50.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.resnet_v2.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.resnet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.vgg16.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.vgg19.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.xception.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.backend.name_scope.pbtxt ops.name_scope now dispatches no name_scope_{v1,v2} or Graph.name_scope 2019-09-01 05:10:50 -07:00
tensorflow.keras.backend.pbtxt Deprecate random_binomial in favor of random_bernoulli. 2020-03-05 15:14:38 -08:00
tensorflow.keras.callbacks.-base-logger.pbtxt Add Callbacks hooks for evaluate and predict. 2018-12-14 15:13:34 -08:00
tensorflow.keras.callbacks.-c-s-v-logger.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-callback-list.pbtxt Export CallbackList to the public API. 2020-04-13 16:28:02 -07:00
tensorflow.keras.callbacks.-callback.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-early-stopping.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-history.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-lambda-callback.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt Add Callbacks hooks for evaluate and predict. 2018-12-14 15:13:34 -08:00
tensorflow.keras.callbacks.-model-checkpoint.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.callbacks.-progbar-logger.pbtxt Add Callbacks hooks for evaluate and predict. 2018-12-14 15:13:34 -08:00
tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-remote-monitor.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-tensor-board.pbtxt Create Variables to track mini-batches seen in Model.fit / evaluate / predict. 2020-03-17 14:58:12 -07:00
tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.pbtxt Export CallbackList to the public API. 2020-04-13 16:28:02 -07:00
tensorflow.keras.constraints.-constraint.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-max-norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-min-max-norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-non-neg.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-radial-constraint.pbtxt Adding radial constraint for Conv2D kernels to make them rotation invariant. 2019-06-19 21:31:56 -07:00
tensorflow.keras.constraints.-unit-norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.max_norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.min_max_norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.non_neg.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.pbtxt Adding radial constraint for Conv2D kernels to make them rotation invariant. 2019-06-19 21:31:56 -07:00
tensorflow.keras.constraints.radial_constraint.pbtxt Adding radial constraint for Conv2D kernels to make them rotation invariant. 2019-06-19 21:31:56 -07:00
tensorflow.keras.constraints.unit_norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.boston_housing.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.cifar10.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.cifar100.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.fashion_mnist.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.imdb.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.mnist.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.reuters.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.estimator.pbtxt (CL 2/2) Allow model_to_estimator to save object-based checkpoints. 2019-05-29 10:51:02 -07:00
tensorflow.keras.experimental.-cosine-decay-restarts.pbtxt Exposes some experimental learning rate schedules added to TF 2.0 in TF 1.x. 2019-01-31 16:42:27 -08:00
tensorflow.keras.experimental.-cosine-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.experimental.-linear-cosine-decay.pbtxt Exposes some experimental learning rate schedules added to TF 2.0 in TF 1.x. 2019-01-31 16:42:27 -08:00
tensorflow.keras.experimental.-linear-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.experimental.-noisy-linear-cosine-decay.pbtxt Exposes some experimental learning rate schedules added to TF 2.0 in TF 1.x. 2019-01-31 16:42:27 -08:00
tensorflow.keras.experimental.-peephole-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.experimental.-sequence-features.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.experimental.-wide-deep-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.experimental.pbtxt Add keras premade model symbols. 2019-08-01 17:36:48 -07:00
tensorflow.keras.initializers.-constant.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.-identity.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.-initializer.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-ones.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.-orthogonal.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.-random-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-random-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-truncated-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-variance-scaling.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.-zeros.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.constant.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.glorot_normal.pbtxt Update API goldens 2018-08-10 20:50:30 +00:00
tensorflow.keras.initializers.glorot_uniform.pbtxt Update API goldens 2018-08-10 20:50:30 +00:00
tensorflow.keras.initializers.he_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.he_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.identity.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.lecun_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.lecun_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.ones.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.orthogonal.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.initializers.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.random_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.random_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.truncated_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.zeros.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.layers.-abstract-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-activation.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-activity-regularization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-add.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-additive-attention.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-alpha-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-attention.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-avg-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-avg-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-avg-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-batch-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-bidirectional.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-concatenate.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv1-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv2-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv3-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt Make return_state as explicit kwarg in the Conv2DLSTM layer. 2020-06-18 15:55:19 -07:00
tensorflow.keras.layers.-convolution1-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution2-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution3-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cropping1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cropping2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cropping3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dense-features.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dense.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-depthwise-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dot.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-e-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-embedding.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-flatten.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-g-r-u-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-g-r-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-gaussian-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-gaussian-noise.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-average-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-average-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-average-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-avg-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-avg-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-avg-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-input-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-input-spec.pbtxt Keras models and layers saving and reviving code. Implements go/tf-model-serialization. 2019-06-04 00:34:24 -07:00
tensorflow.keras.layers.-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-l-s-t-m.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-lambda.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-layer-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-leaky-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-locally-connected1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-locally-connected2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-masking.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-maximum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-minimum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-multiply.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-p-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-permute.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-r-n-n.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-repeat-vector.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-reshape.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-conv1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-convolution1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-convolution2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-simple-r-n-n.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-softmax.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-spatial-dropout1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-spatial-dropout2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-spatial-dropout3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-subtract.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-thresholded-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-time-distributed.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-up-sampling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-up-sampling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-up-sampling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-zero-padding1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-zero-padding2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-zero-padding3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.-einsum-dense.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.-random-fourier-features.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.pbtxt Add an einsum layer. 2020-04-30 08:42:06 -07:00
tensorflow.keras.layers.experimental.preprocessing.-category-crossing.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-category-encoding.__metaclass__.pbtxt Exporting CategoryEncoding layer. 2020-05-21 13:16:57 -07:00
tensorflow.keras.layers.experimental.preprocessing.-category-encoding.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-center-crop.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-discretization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-hashing.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-integer-lookup.__metaclass__.pbtxt Export StringLookup and IntegerLookup layers. 2020-05-29 12:37:56 -07:00
tensorflow.keras.layers.experimental.preprocessing.-integer-lookup.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-normalization.__metaclass__.pbtxt Export Keras preprocessing layers in tf.keras.layers.experimental. 2019-11-09 01:31:26 -08:00
tensorflow.keras.layers.experimental.preprocessing.-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-preprocessing-layer.__metaclass__.pbtxt Export Keras preprocessing layers in tf.keras.layers.experimental. 2019-11-09 01:31:26 -08:00
tensorflow.keras.layers.experimental.preprocessing.-preprocessing-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-contrast.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-crop.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-flip.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-height.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-rotation.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-translation.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-width.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-zoom.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-rescaling.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-resizing.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-string-lookup.__metaclass__.pbtxt Export StringLookup and IntegerLookup layers. 2020-05-29 12:37:56 -07:00
tensorflow.keras.layers.experimental.preprocessing.-string-lookup.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.__metaclass__.pbtxt Export Keras preprocessing layers in tf.keras.layers.experimental. 2019-11-09 01:31:26 -08:00
tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.pbtxt Export StringLookup and IntegerLookup layers. 2020-05-29 12:37:56 -07:00
tensorflow.keras.layers.pbtxt Expose enable_v2_dtype_behavior as V1 symbol. 2020-04-29 11:15:00 -07:00
tensorflow.keras.losses.-binary-crossentropy.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-categorical-crossentropy.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-categorical-hinge.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-cosine-similarity.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-hinge.pbtxt More descriptive docstrings for losses 2019-06-26 17:37:14 -07:00
tensorflow.keras.losses.-huber.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-k-l-divergence.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.losses.-log-cosh.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.losses.-loss.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-absolute-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-absolute-percentage-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-squared-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-squared-logarithmic-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-poisson.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-sparse-categorical-crossentropy.pbtxt More descriptive docstrings for losses 2019-06-26 17:37:14 -07:00
tensorflow.keras.losses.-squared-hinge.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.metrics.-a-u-c.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-binary-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-binary-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-categorical-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-categorical-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-cosine-similarity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-false-negatives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-false-positives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-k-l-divergence.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-log-cosh-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-absolute-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-absolute-percentage-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-io-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-relative-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-squared-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-squared-logarithmic-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-tensor.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-metric.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-poisson.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-precision-at-recall.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-precision.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-recall-at-precision.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-recall.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-root-mean-squared-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sensitivity-at-specificity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sparse-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sparse-categorical-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sparse-top-k-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-specificity-at-sensitivity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-squared-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-top-k-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-true-negatives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-true-positives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.mixed_precision.experimental.-loss-scale-optimizer.pbtxt Change LossScaleOptimizer checkpoint format. 2020-04-14 14:14:30 -07:00
tensorflow.keras.mixed_precision.experimental.pbtxt Remove "infer" dtype policy. 2020-03-09 13:25:36 -07:00
tensorflow.keras.mixed_precision.pbtxt Initial support for mixed precision policies. 2019-02-27 17:13:33 -08:00
tensorflow.keras.models.-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.models.-sequential.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.models.pbtxt Add load option for loading SavedModel from specific io_device for distributed training. 2020-06-15 15:34:47 -07:00
tensorflow.keras.optimizers.-adadelta.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-adagrad.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-adam.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-adamax.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-ftrl.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-nadam.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-optimizer.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-r-m-sprop.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-s-g-d.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.pbtxt Add ftrl endpoint. 2019-02-21 09:32:42 -08:00
tensorflow.keras.optimizers.schedules.-exponential-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-inverse-time-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-learning-rate-schedule.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-piecewise-constant-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-polynomial-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.pbtxt Add ragged tensor input support to Keras via the 'ragged' arg in keras.Input. 2019-06-20 13:51:43 -07:00
tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.-iterator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.sequence.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.text.-tokenizer.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.text.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.regularizers.-l1-l2.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.regularizers.-l1.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.-l2.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.-regularizer.pbtxt Updates Keras Regularizer documentation 2019-09-26 15:32:57 -07:00
tensorflow.keras.regularizers.l1.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.l2.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.utils.-custom-object-scope.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.utils.-generator-enqueuer.pbtxt Part 3/4 of the update of tf.keras to the 2.2.4 API. 2018-10-10 20:54:50 -07:00
tensorflow.keras.utils.-h-d-f5-matrix.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.utils.-ordered-enqueuer.pbtxt Adding forgotten exports. 2018-09-10 14:29:23 -07:00
tensorflow.keras.utils.-progbar.pbtxt Keras ideal fit and compile. 2020-02-19 17:10:04 -08:00
tensorflow.keras.utils.-sequence-enqueuer.pbtxt Part 3/4 of the update of tf.keras to the 2.2.4 API. 2018-10-10 20:54:50 -07:00
tensorflow.keras.utils.-sequence.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.utils.custom_object_scope.pbtxt Improves public-facing documentation for tf.keras.utils.custom_object_scope. 2020-03-23 13:39:19 -07:00
tensorflow.keras.utils.pbtxt Improves public-facing documentation for tf.keras.utils.custom_object_scope. 2020-03-23 13:39:19 -07:00
tensorflow.keras.wrappers.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.wrappers.scikit_learn.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.layers.-average-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-average-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-average-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-batch-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-conv1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-conv2-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-conv3-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-conv3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-dense.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-flatten.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-input-spec.pbtxt Keras models and layers saving and reviving code. Implements go/tf-model-serialization. 2019-06-04 00:34:24 -07:00
tensorflow.layers.-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-max-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-max-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-max-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-separable-conv1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.-separable-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.layers.experimental.pbtxt Add tf.layers.experimental.{keras_style_scope,set_keras_style} 2018-10-19 12:50:44 -07:00
tensorflow.layers.pbtxt Add tf.layers.experimental.{keras_style_scope,set_keras_style} 2018-10-19 12:50:44 -07:00
tensorflow.linalg.-linear-operator-adjoint.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-block-diag.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-block-lower-triangular.pbtxt Add the lower-triangular blockwise linear operator, tf.linalg.LinearOperatorBlockLowerTriangular. 2020-01-29 14:02:05 -08:00
tensorflow.linalg.-linear-operator-circulant2-d.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-circulant3-d.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-circulant.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-composition.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-diag.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-full-matrix.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-householder.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-identity.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-inversion.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-kronecker.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-low-rank-update.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-lower-triangular.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-permutation.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-scaled-identity.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-toeplitz.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-tridiag.pbtxt Add LinearOperatorTridiag for tridiagonal matrices. 2019-12-16 13:03:00 -08:00
tensorflow.linalg.-linear-operator-zeros.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.experimental.pbtxt Add tf.linalg.experimental.conjugate_gradient to python API. 2019-11-27 10:35:09 -08:00
tensorflow.linalg.pbtxt Add the lower-triangular blockwise linear operator, tf.linalg.LinearOperatorBlockLowerTriangular. 2020-01-29 14:02:05 -08:00
tensorflow.lite.-interpreter.pbtxt Merge branch 'master' into export_SetNumThreads_to_tflite_python 2020-05-20 16:25:33 +08:00
tensorflow.lite.-op-hint.-op-hint-argument-tracker.pbtxt OpHints supports dynamic_rnn, currently only add support for time_major=True case. 2019-01-30 18:44:25 -08:00
tensorflow.lite.-op-hint.pbtxt OpHints supports dynamic_rnn, currently only add support for time_major=True case. 2019-01-30 18:44:25 -08:00
tensorflow.lite.-ops-set.pbtxt Fix for CI failure. 2020-06-08 17:57:27 +01:00
tensorflow.lite.-optimize.pbtxt Introduce DEFAULT_OPTIMIZE that is the recommendation to users. 2019-04-23 17:27:38 -07:00
tensorflow.lite.-representative-dataset.pbtxt Remove confusing unused output_gen field. 2019-04-17 21:34:30 -07:00
tensorflow.lite.-t-f-lite-converter.pbtxt Split merged TFLiteConverter implementations into frozen graph converter and saved model converter 2020-05-06 23:27:25 -07:00
tensorflow.lite.-target-spec.pbtxt Enable Float16 conversion of model constants through Python API 2019-07-03 18:23:05 -07:00
tensorflow.lite.-toco-converter.pbtxt Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
tensorflow.lite.constants.pbtxt Fix for CI failure. 2020-06-08 17:57:27 +01:00
tensorflow.lite.experimental.nn.-t-f-lite-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.lite.experimental.nn.-tf-lite-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.lite.experimental.nn.pbtxt export tflite lstm symbols. 2019-02-20 19:10:56 -08:00
tensorflow.lite.experimental.pbtxt Add Python delegate interface to interpreter. 2019-06-07 15:48:52 -07:00
tensorflow.lite.pbtxt Expose TFLiteConverter for TensorFlow 2.0. 2019-02-25 09:40:15 -08:00
tensorflow.logging.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.lookup.-key-value-tensor-initializer.pbtxt Adding tf_export bindings for the tf.lookup API. Adds tf.lookup.StaticHashTable, tf.lookup.VocabularyTable, tf.lookup.experimental.DenseHashTable, tf.lookup.TextFileInitializer and tf.lookup.KeyValueTensorInitializer 2019-02-27 14:39:48 -08:00
tensorflow.lookup.-static-hash-table.pbtxt Factor out scope tracking from TrackableResource 2019-05-01 16:50:47 -07:00
tensorflow.lookup.-static-vocabulary-table.pbtxt Factor out scope tracking from TrackableResource 2019-05-01 16:50:47 -07:00
tensorflow.lookup.-text-file-index.pbtxt Update API golden for tf.lookup.TextFileIndex 2019-03-13 05:02:51 +00:00
tensorflow.lookup.-text-file-initializer.pbtxt Adding tf_export bindings for the tf.lookup API. Adds tf.lookup.StaticHashTable, tf.lookup.VocabularyTable, tf.lookup.experimental.DenseHashTable, tf.lookup.TextFileInitializer and tf.lookup.KeyValueTensorInitializer 2019-02-27 14:39:48 -08:00
tensorflow.lookup.experimental.-dataset-initializer.pbtxt Allowing tf.lookup tables to be initialized from a Dataset 2020-03-02 15:41:42 -08:00
tensorflow.lookup.experimental.-dense-hash-table.pbtxt Factor out scope tracking from TrackableResource 2019-05-01 16:50:47 -07:00
tensorflow.lookup.experimental.pbtxt Allowing tf.lookup tables to be initialized from a Dataset 2020-03-02 15:41:42 -08:00
tensorflow.lookup.pbtxt Update API golden for tf.lookup.TextFileIndex 2019-03-13 05:02:51 +00:00
tensorflow.losses.-reduction.pbtxt - Adds MeanSquaredError V2 loss implementation 2018-11-25 00:52:29 -08:00
tensorflow.losses.pbtxt Adding a scope option to tf.get_total_loss() 2019-06-18 12:46:56 -07:00
tensorflow.manip.pbtxt Merge pull request #27075 from Gurpreetsingh9465:gurpreetsingh-patch-1 2019-05-20 11:20:55 -07:00
tensorflow.math.pbtxt Create special math directory, and add Dawson, Exponential, Fresnel and Spence Integrals. 2020-01-29 17:48:58 -08:00
tensorflow.math.special.pbtxt Add Bessel functions to the public api: 2020-06-17 21:06:09 -07:00
tensorflow.metrics.pbtxt Add the ability to specify custom thresholds for AUC computation. As noted in the original documentation, the metric uses thresholds distributed uniformly over [0, 1] by default, which is not accurate in cases where predictions are not also distributed somewhat uniformly over that range. 2019-03-26 17:14:51 -07:00
tensorflow.mixed_precision.experimental.-dynamic-loss-scale.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.experimental.-fixed-loss-scale.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.experimental.-loss-scale.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.experimental.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mlir.experimental.pbtxt Add pass_pipeline optional arguments when importing a GraphDef to MLIR 2019-09-16 16:32:56 -07:00
tensorflow.mlir.pbtxt Implement a basic API: tf.mlir.experimental.convert_graph_def 2019-09-09 15:00:00 -07:00
tensorflow.name_scope.pbtxt ops.name_scope now dispatches no name_scope_{v1,v2} or Graph.name_scope 2019-09-01 05:10:50 -07:00
tensorflow.nest.pbtxt Export nest.is_sequence as tf.nest.is_nested 2019-02-14 19:09:15 -08:00
tensorflow.nn.pbtxt Support computing exponential running mean and variance in fused_batch_norm. 2020-02-26 14:31:32 -08:00
tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-device-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt Move legacy TF RNN cells to Keras and export there. 2020-03-23 14:54:51 -07:00
tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.rnn_cell.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.ones_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.orthogonal_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.pbtxt Add Registration for non-stateful scatter_nd_min and scatter_nd_max. 2020-06-03 11:05:54 -07:00
tensorflow.profiler.-advice-proto.-checker.pbtxt
tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt
tensorflow.profiler.-advice-proto.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.profiler.-graph-node-proto.pbtxt
tensorflow.profiler.-multi-graph-node-proto.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.profiler.-op-log-proto.pbtxt
tensorflow.profiler.-profile-option-builder.pbtxt
tensorflow.profiler.-profiler.pbtxt
tensorflow.profiler.pbtxt
tensorflow.python_io.-t-f-record-compression-type.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.python_io.-t-f-record-options.pbtxt Add compression options to Python's TFRecordOptions 2018-09-06 17:08:50 -07:00
tensorflow.python_io.-t-f-record-writer.pbtxt Converted py_record_writer.i and py_record_reader.i to pybind11 2019-12-18 07:36:29 -08:00
tensorflow.python_io.pbtxt Converted py_record_writer.i and py_record_reader.i to pybind11 2019-12-18 07:36:29 -08:00
tensorflow.quantization.pbtxt Support Dequantize to bfloat16. 2020-01-14 11:58:53 -08:00
tensorflow.queue.-f-i-f-o-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-padding-f-i-f-o-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-priority-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-queue-base.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-random-shuffle-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.ragged.-ragged-tensor-value.pbtxt Automated rollback of commit 4e2bbf82aa 2019-09-17 00:20:18 -07:00
tensorflow.ragged.pbtxt Add tf.ragged.cross and tf.ragged.cross_hashed operations. These ops generate feature crosses from a list of input tensors (similar to tf.sparse.cross), and return the result as a RaggedTensor. Inputs may be tf.RaggedTensors, tf.Tensors, or tf.SparseTensors. 2020-03-02 18:13:45 -08:00
tensorflow.random_normal_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.random_uniform_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.random.-algorithm.pbtxt Moves tf.random.experimental.Generator out of experimental status 2019-12-18 13:56:27 -08:00
tensorflow.random.-generator.pbtxt Moves tf.random.experimental.Generator out of experimental status 2019-12-18 13:56:27 -08:00
tensorflow.random.experimental.-algorithm.pbtxt Adds examples in stateful_random_ops.py, improves some docstrings, and also adds missing export for algorithm enum. 2019-12-16 14:06:51 -08:00
tensorflow.random.experimental.-generator.pbtxt Makes tf.random.experimental.Generator a CompositeTensor. 2019-11-11 16:22:34 -08:00
tensorflow.random.experimental.pbtxt Adds tf.random.experimental.stateless_split and tf.random.experimental.stateless_fold_in to manage seeds for stateless RNGs. 2020-03-23 14:42:43 -07:00
tensorflow.random.pbtxt Add StatelessParameterizedTruncatedNormal sampler. 2020-06-18 10:28:38 -07:00
tensorflow.raw_ops.pbtxt Add StatelessParameterizedTruncatedNormal sampler. 2020-06-18 10:28:38 -07:00
tensorflow.resource_loader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.saved_model.-asset.pbtxt Add tf.saved_model.Asset public symbol. 2019-09-05 23:46:40 -07:00
tensorflow.saved_model.-builder.pbtxt Write AssetFileDef to Metagraph's asset_file_def field. 2018-11-19 15:12:53 -08:00
tensorflow.saved_model.-save-options.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.saved_model.builder.-saved-model-builder.pbtxt Write AssetFileDef to Metagraph's asset_file_def field. 2018-11-19 15:12:53 -08:00
tensorflow.saved_model.builder.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.saved_model.constants.pbtxt Add SaveOptions.save_debug_info and associated plumbing for SavedModel V2. 2019-09-06 14:48:59 -07:00
tensorflow.saved_model.experimental.pbtxt Add SaveOptions object with option to whitelist op namespaces. Added options argument to all functions that save out a SavedModel. 2019-08-28 16:45:38 -07:00
tensorflow.saved_model.loader.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.saved_model.main_op.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.saved_model.pbtxt Add load option for loading SavedModel from specific io_device for distributed training. 2020-06-15 15:34:47 -07:00
tensorflow.saved_model.signature_constants.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.saved_model.signature_def_utils.-method-name-updater.pbtxt Utility function for supporting classify and regress APIs for Keras models. 2020-01-28 14:29:31 -08:00
tensorflow.saved_model.signature_def_utils.pbtxt Utility function for supporting classify and regress APIs for Keras models. 2020-01-28 14:29:31 -08:00
tensorflow.saved_model.tag_constants.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.saved_model.utils.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.sets.pbtxt Update the name for tf.sets.set_* to tf.sets.* and exporting to v2 and v1. 2018-11-15 17:56:15 -08:00
tensorflow.signal.pbtxt tf.signal: Add a Modified Discrete Cosine Transform (MDCT) and its inverse to tf.signal. 2020-01-10 09:08:22 -08:00
tensorflow.sparse.-sparse-conditional-accumulator.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.sparse.-sparse-tensor.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.sparse.pbtxt Export Hashing layer. Add separator for CategoryCrossing and tf.sparse.cross. Add benchmarks for hashing. 2020-05-20 16:43:49 -07:00
tensorflow.spectral.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.strings.pbtxt Create a C++ string-ngrams op. 2019-07-25 11:21:48 -07:00
tensorflow.summary.-event.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-file-writer-cache.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-file-writer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-session-log.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-summary-description.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-summary.-audio.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-summary.-image.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-summary.-value.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-summary.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.-tagged-run-metadata.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.summary.pbtxt Add tf.compat.v1.all_v2_summary_ops() for TF 2.0 legacy graph users 2019-04-26 00:46:20 -07:00
tensorflow.sysconfig.pbtxt Provide NVIDIA CUDA build data in metadata and API 2020-06-05 16:44:24 -07:00
tensorflow.test.-benchmark.pbtxt Add metrics fields to BenchmarkEntry in test_log.proto. 2019-04-08 20:06:21 -07:00
tensorflow.test.-stub-out-for-testing.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.test.pbtxt [TF XLA] Add ability to convert SavedModel subgraphs to compiled [XLA CPU] objects via saved_model_cli. 2020-01-16 14:26:12 -08:00
tensorflow.tpu.-cross-shard-optimizer.pbtxt Export TF core TPU symbols in compat.v1 2019-04-16 18:22:47 -07:00
tensorflow.tpu.-padding-spec.pbtxt Add a padding_spec argument into tpu.replicate, which provides the functionality of auto bucketing inputs. 2020-02-14 14:31:09 -08:00
tensorflow.tpu.experimental.-adagrad-parameters.pbtxt Expose Weight Decay to Python TPU Embedding API 2020-02-05 16:11:52 -08:00
tensorflow.tpu.experimental.-adam-parameters.pbtxt Expose Weight Decay to Python TPU Embedding API 2020-02-05 16:11:52 -08:00
tensorflow.tpu.experimental.-device-assignment.pbtxt Expose experimental device assignment helper 2019-03-13 14:15:47 -07:00
tensorflow.tpu.experimental.-ftrl-parameters.pbtxt Expose Weight Decay to Python TPU Embedding API 2020-02-05 16:11:52 -08:00
tensorflow.tpu.experimental.-stochastic-gradient-descent-parameters.pbtxt Expose Weight Decay to Python TPU Embedding API 2020-02-05 16:11:52 -08:00
tensorflow.tpu.experimental.-t-p-u-system-metadata.pbtxt Add get_tpu_system_metadata API to TPUClusterResolver. Also export tf.tpu.experimental.TPUSystemMetadata and tf.tpu.experimental.Topology symbols. 2020-03-18 19:48:04 -07:00
tensorflow.tpu.experimental.-topology.pbtxt Add get_tpu_system_metadata API to TPUClusterResolver. Also export tf.tpu.experimental.TPUSystemMetadata and tf.tpu.experimental.Topology symbols. 2020-03-18 19:48:04 -07:00
tensorflow.tpu.experimental.embedding.-adagrad.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-adam.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-feature-config.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-s-g-d.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-t-p-u-embedding.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-table-config.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.pbtxt [INTEL MKL] Updated the v1 goldens due to API interface changes 2020-05-28 16:33:16 -07:00
tensorflow.train.-adadelta-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-adagrad-d-a-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-adagrad-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-adam-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-bytes-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-checkpoint-manager.pbtxt Extend tf.train.CheckpointManager functionality: 2020-02-12 19:37:30 -08:00
tensorflow.train.-checkpoint-options.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.train.-checkpoint-saver-hook.pbtxt (1/2) Add option to not export Graph protos when training the Estimator. 2019-10-10 12:40:44 -07:00
tensorflow.train.-checkpoint-saver-listener.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-checkpoint.pbtxt Remove mention of sessions from tf.train.Checkpoint in v2. 2019-03-05 12:27:47 -08:00
tensorflow.train.-chief-session-creator.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-cluster-def.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-cluster-spec.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-coordinator.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-example.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-exponential-moving-average.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature-lists.-feature-list-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature-lists.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-features.-feature-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-features.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feed-fn-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-final-ops-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-float-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-ftrl-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-global-step-waiter-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-gradient-descent-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-int64-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-job-def.-tasks-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-job-def.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-logging-tensor-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-looper-thread.pbtxt Checkout tensorflow.train.-looper-thread.pbtxt from master 2019-05-29 10:21:11 -07:00
tensorflow.train.-momentum-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-monitored-session.-step-context.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-monitored-session.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-nan-loss-during-training-error.pbtxt Resolve @annarev's comments 2018-10-16 21:24:43 -07:00
tensorflow.train.-nan-tensor-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-profiler-hook.pbtxt
tensorflow.train.-proximal-adagrad-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-queue-runner.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-r-m-s-prop-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-saver-def.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-saver.pbtxt Dump graph debug information when saving the meta_graph. 2019-01-28 17:45:27 -08:00
tensorflow.train.-scaffold.pbtxt Add SavedModelEstimator support for saved models with assets. 2019-09-23 21:04:04 -07:00
tensorflow.train.-second-or-step-timer.pbtxt
tensorflow.train.-sequence-example.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-server-def.pbtxt Allow configuring device filters in eager cluster to isolate workers. 2020-01-29 16:24:08 -08:00
tensorflow.train.-server.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-session-creator.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-session-manager.pbtxt Add SavedModelEstimator support for saved models with assets. 2019-09-23 21:04:04 -07:00
tensorflow.train.-session-run-args.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-session-run-context.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-session-run-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-session-run-values.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-singular-monitored-session.-step-context.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-singular-monitored-session.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-step-counter-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-stop-at-step-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-summary-saver-hook.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-supervisor.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-sync-replicas-optimizer.pbtxt Rename Checkpointable -> Trackable and AutoCheckpointable -> AutoTrackable 2019-02-15 17:38:56 -08:00
tensorflow.train.-vocab-info.pbtxt Expose an axis argument for VocabInfo, which allows for warm-starting of the second axis of Tensors through tf.train.warm_start. Note that the underlying initializer already has this functionality (for example, for output layers). 2018-09-05 15:42:44 -07:00
tensorflow.train.-worker-session-creator.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.experimental.-dynamic-loss-scale.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.experimental.-fixed-loss-scale.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.experimental.-loss-scale.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.experimental.-mixed-precision-loss-scale-optimizer.pbtxt Merge pull request #27655 from MattConley:loss_scaling_optimizer 2019-04-15 12:37:36 -07:00
tensorflow.train.experimental.-python-state.pbtxt Adds tf.train.experimental.PythonState 2019-02-25 12:47:48 -08:00
tensorflow.train.experimental.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.train.queue_runner.-queue-runner.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.queue_runner.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.truncated_normal_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.uniform_unit_scaling_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.variable_scope.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.variance_scaling_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.version.pbtxt Updating constant endpoints. 2018-10-15 17:49:13 -07:00
tensorflow.xla.experimental.pbtxt Automated rollback of commit 302acb768a 2019-03-26 15:31:47 -07:00
tensorflow.xla.pbtxt Automated rollback of commit 302acb768a 2019-03-26 15:31:47 -07:00
tensorflow.zeros_initializer.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00