Keep 2 sets of API Goldens (goldens/v1 and goldens/v2).

PiperOrigin-RevId: 207781405

tensorflow/BUILD

@@ -584,6 +584,7 @@ exports_files(
 gen_api_init_files(
     name = "tensorflow_python_api_gen",
     srcs = ["api_template.__init__.py"],
+    api_version = 1,
     root_init_template = "api_template.__init__.py",
 )
 

tensorflow/tools/api/golden/BUILD

@@ -7,6 +7,11 @@ package(
 licenses(["notice"])  # Apache 2.0
 
 filegroup(
-    name = "api_golden",
-    srcs = glob(["*.pbtxt"]),
+    name = "api_golden_v1",
+    srcs = glob(["v1/*.pbtxt"]),
+)
+
+filegroup(
+    name = "api_golden_v2",
+    srcs = glob(["v1/*.pbtxt"]),
 )

tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt

@@ -0,0 +1,24 @@
+path: "tensorflow.ConfigProto.Experimental"
+tf_proto {
+  descriptor {
+    name: "Experimental"
+    field {
+      name: "collective_group_leader"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "client_handles_error_formatting"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "executor_type"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt

@@ -0,0 +1,148 @@
+path: "tensorflow.ConfigProto"
+tf_proto {
+  descriptor {
+    name: "ConfigProto"
+    field {
+      name: "device_count"
+      number: 1
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.ConfigProto.DeviceCountEntry"
+    }
+    field {
+      name: "intra_op_parallelism_threads"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "inter_op_parallelism_threads"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "use_per_session_threads"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "session_inter_op_thread_pool"
+      number: 12
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.ThreadPoolOptionProto"
+    }
+    field {
+      name: "placement_period"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "device_filters"
+      number: 4
+      label: LABEL_REPEATED
+      type: TYPE_STRING
+    }
+    field {
+      name: "gpu_options"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GPUOptions"
+    }
+    field {
+      name: "allow_soft_placement"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "log_device_placement"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "graph_options"
+      number: 10
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphOptions"
+    }
+    field {
+      name: "operation_timeout_in_ms"
+      number: 11
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "rpc_options"
+      number: 13
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.RPCOptions"
+    }
+    field {
+      name: "cluster_def"
+      number: 14
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.ClusterDef"
+    }
+    field {
+      name: "isolate_session_state"
+      number: 15
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "experimental"
+      number: 16
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.ConfigProto.Experimental"
+    }
+    nested_type {
+      name: "DeviceCountEntry"
+      field {
+        name: "key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      options {
+        map_entry: true
+      }
+    }
+    nested_type {
+      name: "Experimental"
+      field {
+        name: "collective_group_leader"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "client_handles_error_formatting"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "executor_type"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.data.-iterator.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.data.Iterator"
+tf_class {
+  is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>"
+  is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "initializer"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "output_classes"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "output_shapes"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "output_types"
+    mtype: "<type \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'iterator_resource\', \'initializer\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_string_handle"
+    argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_structure"
+    argspec: "args=[\'output_types\', \'output_shapes\', \'shared_name\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "get_next"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "make_initializer"
+    argspec: "args=[\'self\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "string_handle"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}