chore: import upstream snapshot with attribution

tensorflow/tools/api/golden/BUILD

@@ -0,0 +1,17 @@
+# TensorFlow API backwards compatibility test goldens.
+
+package(
+    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
+    default_visibility = ["//visibility:public"],
+    licenses = ["notice"],
+)
+
+filegroup(
+    name = "api_golden_v1",
+    srcs = glob(["v1/*.pbtxt"]),
+)
+
+filegroup(
+    name = "api_golden_v2",
+    srcs = glob(["v2/*.pbtxt"]),
+)

tensorflow/tools/api/golden/v1/tensorflow.-aggregation-method.pbtxt

@@ -0,0 +1,24 @@
+path: "tensorflow.AggregationMethod"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.gradients_util.AggregationMethod\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "ADD_N"
+    mtype: "<class \'int\'>"
+  }
+  member {
+    name: "DEFAULT"
+    mtype: "<class \'int\'>"
+  }
+  member {
+    name: "EXPERIMENTAL_ACCUMULATE_N"
+    mtype: "<class \'int\'>"
+  }
+  member {
+    name: "EXPERIMENTAL_TREE"
+    mtype: "<class \'int\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-attr-value.-list-value.pbtxt

@@ -0,0 +1,70 @@
+path: "tensorflow.AttrValue.ListValue"
+tf_proto {
+  descriptor {
+    name: "ListValue"
+    field {
+      name: "s"
+      number: 2
+      label: LABEL_REPEATED
+      type: TYPE_BYTES
+    }
+    field {
+      name: "i"
+      number: 3
+      label: LABEL_REPEATED
+      type: TYPE_INT64
+      options {
+        packed: true
+      }
+    }
+    field {
+      name: "f"
+      number: 4
+      label: LABEL_REPEATED
+      type: TYPE_FLOAT
+      options {
+        packed: true
+      }
+    }
+    field {
+      name: "b"
+      number: 5
+      label: LABEL_REPEATED
+      type: TYPE_BOOL
+      options {
+        packed: true
+      }
+    }
+    field {
+      name: "type"
+      number: 6
+      label: LABEL_REPEATED
+      type: TYPE_ENUM
+      type_name: ".tensorflow.DataType"
+      options {
+        packed: true
+      }
+    }
+    field {
+      name: "shape"
+      number: 7
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorShapeProto"
+    }
+    field {
+      name: "tensor"
+      number: 8
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorProto"
+    }
+    field {
+      name: "func"
+      number: 9
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.NameAttrList"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-attr-value.pbtxt

@@ -0,0 +1,151 @@
+path: "tensorflow.AttrValue"
+tf_proto {
+  descriptor {
+    name: "AttrValue"
+    field {
+      name: "s"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+      oneof_index: 0
+    }
+    field {
+      name: "i"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+      oneof_index: 0
+    }
+    field {
+      name: "f"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_FLOAT
+      oneof_index: 0
+    }
+    field {
+      name: "b"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+      oneof_index: 0
+    }
+    field {
+      name: "type"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.DataType"
+      oneof_index: 0
+    }
+    field {
+      name: "shape"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorShapeProto"
+      oneof_index: 0
+    }
+    field {
+      name: "tensor"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorProto"
+      oneof_index: 0
+    }
+    field {
+      name: "list"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.AttrValue.ListValue"
+      oneof_index: 0
+    }
+    field {
+      name: "func"
+      number: 10
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.NameAttrList"
+      oneof_index: 0
+    }
+    field {
+      name: "placeholder"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+      oneof_index: 0
+    }
+    nested_type {
+      name: "ListValue"
+      field {
+        name: "s"
+        number: 2
+        label: LABEL_REPEATED
+        type: TYPE_BYTES
+      }
+      field {
+        name: "i"
+        number: 3
+        label: LABEL_REPEATED
+        type: TYPE_INT64
+        options {
+          packed: true
+        }
+      }
+      field {
+        name: "f"
+        number: 4
+        label: LABEL_REPEATED
+        type: TYPE_FLOAT
+        options {
+          packed: true
+        }
+      }
+      field {
+        name: "b"
+        number: 5
+        label: LABEL_REPEATED
+        type: TYPE_BOOL
+        options {
+          packed: true
+        }
+      }
+      field {
+        name: "type"
+        number: 6
+        label: LABEL_REPEATED
+        type: TYPE_ENUM
+        type_name: ".tensorflow.DataType"
+        options {
+          packed: true
+        }
+      }
+      field {
+        name: "shape"
+        number: 7
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.TensorShapeProto"
+      }
+      field {
+        name: "tensor"
+        number: 8
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.TensorProto"
+      }
+      field {
+        name: "func"
+        number: 9
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.NameAttrList"
+      }
+    }
+    oneof_decl {
+      name: "value"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator-base.pbtxt

@@ -0,0 +1,29 @@
+path: "tensorflow.ConditionalAccumulatorBase"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "accumulator_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtype\', \'shape\', \'accumulator_ref\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "num_accumulated"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "set_global_step"
+    argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator.pbtxt

@@ -0,0 +1,38 @@
+path: "tensorflow.ConditionalAccumulator"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulator\'>"
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "accumulator_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\', \'reduction_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'conditional_accumulator\', \'MEAN\'], "
+  }
+  member_method {
+    name: "apply_grad"
+    argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
+  }
+  member_method {
+    name: "num_accumulated"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "set_global_step"
+    argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "take_grad"
+    argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-device-count-entry.pbtxt

@@ -0,0 +1,21 @@
+path: "tensorflow.ConfigProto.DeviceCountEntry"
+tf_proto {
+  descriptor {
+    name: "DeviceCountEntry"
+    field {
+      name: "key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    options {
+      map_entry: true
+    }
+  }
+}

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

@@ -0,0 +1,242 @@
+path: "tensorflow.ConfigProto.Experimental"
+tf_proto {
+  descriptor {
+    name: "Experimental"
+    field {
+      name: "collective_group_leader"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "executor_type"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "recv_buf_max_chunk"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "use_numa_affinity"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "collective_deterministic_sequential_execution"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "collective_nccl"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "share_session_state_in_clusterspec_propagation"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "disable_thread_spinning"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "share_cluster_devices_in_session"
+      number: 10
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "session_metadata"
+      number: 11
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SessionMetadata"
+    }
+    field {
+      name: "optimize_for_static_graph"
+      number: 12
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "enable_mlir_bridge"
+      number: 13
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "mlir_bridge_rollout"
+      number: 17
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.ConfigProto.Experimental.MlirBridgeRollout"
+    }
+    field {
+      name: "enable_mlir_graph_optimization"
+      number: 16
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "disable_output_partition_graphs"
+      number: 14
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "xla_fusion_autotuner_thresh"
+      number: 15
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "use_tfrt"
+      number: 18
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "enable_multi_host"
+      number: 27
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "tfrt_use_ifrt"
+      number: 32
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "backend_server_port"
+      number: 28
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "target_tpu"
+      number: 29
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "target_gpu"
+      number: 30
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "stream_merge_threshold"
+      number: 31
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "disable_functional_ops_lowering"
+      number: 21
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "xla_prefer_single_graph_cluster"
+      number: 22
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "coordination_config"
+      number: 23
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.CoordinationServiceConfig"
+    }
+    field {
+      name: "disable_optimize_for_static_graph"
+      number: 24
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "disable_eager_executor_streaming_enqueue"
+      number: 26
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "finalize_function_library_runtime"
+      number: 33
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "finalize_resource_manager"
+      number: 34
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "tf2xla_dump_dir"
+      number: 35
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "online_cost_analysis"
+      number: 36
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    enum_type {
+      name: "MlirBridgeRollout"
+      value {
+        name: "MLIR_BRIDGE_ROLLOUT_UNSPECIFIED"
+        number: 0
+      }
+      value {
+        name: "MLIR_BRIDGE_ROLLOUT_ENABLED"
+        number: 1
+      }
+      value {
+        name: "MLIR_BRIDGE_ROLLOUT_DISABLED"
+        number: 2
+      }
+      reserved_range {
+        start: 3
+        end: 3
+      }
+      reserved_range {
+        start: 4
+        end: 4
+      }
+      reserved_name: "MLIR_BRIDGE_ROLLOUT_SAFE_MODE_ENABLED"
+      reserved_name: "MLIR_BRIDGE_ROLLOUT_SAFE_MODE_FALLBACK_ENABLED"
+    }
+    reserved_range {
+      start: 2
+      end: 3
+    }
+    reserved_range {
+      start: 19
+      end: 20
+    }
+    reserved_range {
+      start: 20
+      end: 21
+    }
+    reserved_range {
+      start: 25
+      end: 26
+    }
+  }
+}

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

@@ -0,0 +1,379 @@
+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: "pluggable_device_options"
+      number: 18
+      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: "share_cluster_devices_in_session"
+      number: 17
+      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: "executor_type"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "recv_buf_max_chunk"
+        number: 4
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "use_numa_affinity"
+        number: 5
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "collective_deterministic_sequential_execution"
+        number: 6
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "collective_nccl"
+        number: 7
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "share_session_state_in_clusterspec_propagation"
+        number: 8
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "disable_thread_spinning"
+        number: 9
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "share_cluster_devices_in_session"
+        number: 10
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "session_metadata"
+        number: 11
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.SessionMetadata"
+      }
+      field {
+        name: "optimize_for_static_graph"
+        number: 12
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "enable_mlir_bridge"
+        number: 13
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "mlir_bridge_rollout"
+        number: 17
+        label: LABEL_OPTIONAL
+        type: TYPE_ENUM
+        type_name: ".tensorflow.ConfigProto.Experimental.MlirBridgeRollout"
+      }
+      field {
+        name: "enable_mlir_graph_optimization"
+        number: 16
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "disable_output_partition_graphs"
+        number: 14
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "xla_fusion_autotuner_thresh"
+        number: 15
+        label: LABEL_OPTIONAL
+        type: TYPE_INT64
+      }
+      field {
+        name: "use_tfrt"
+        number: 18
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "enable_multi_host"
+        number: 27
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "tfrt_use_ifrt"
+        number: 32
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "backend_server_port"
+        number: 28
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "target_tpu"
+        number: 29
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "target_gpu"
+        number: 30
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "stream_merge_threshold"
+        number: 31
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "disable_functional_ops_lowering"
+        number: 21
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "xla_prefer_single_graph_cluster"
+        number: 22
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "coordination_config"
+        number: 23
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.CoordinationServiceConfig"
+      }
+      field {
+        name: "disable_optimize_for_static_graph"
+        number: 24
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "disable_eager_executor_streaming_enqueue"
+        number: 26
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "finalize_function_library_runtime"
+        number: 33
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "finalize_resource_manager"
+        number: 34
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "tf2xla_dump_dir"
+        number: 35
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "online_cost_analysis"
+        number: 36
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      enum_type {
+        name: "MlirBridgeRollout"
+        value {
+          name: "MLIR_BRIDGE_ROLLOUT_UNSPECIFIED"
+          number: 0
+        }
+        value {
+          name: "MLIR_BRIDGE_ROLLOUT_ENABLED"
+          number: 1
+        }
+        value {
+          name: "MLIR_BRIDGE_ROLLOUT_DISABLED"
+          number: 2
+        }
+        reserved_range {
+          start: 3
+          end: 3
+        }
+        reserved_range {
+          start: 4
+          end: 4
+        }
+        reserved_name: "MLIR_BRIDGE_ROLLOUT_SAFE_MODE_ENABLED"
+        reserved_name: "MLIR_BRIDGE_ROLLOUT_SAFE_MODE_FALLBACK_ENABLED"
+      }
+      reserved_range {
+        start: 2
+        end: 3
+      }
+      reserved_range {
+        start: 19
+        end: 20
+      }
+      reserved_range {
+        start: 20
+        end: 21
+      }
+      reserved_range {
+        start: 25
+        end: 26
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-critical-section.pbtxt

@@ -0,0 +1,17 @@
+path: "tensorflow.CriticalSection"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.critical_section_ops.CriticalSection\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'name\', \'shared_name\', \'critical_section_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "execute"
+    argspec: "args=[\'self\', \'fn\', \'exclusive_resource_access\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-d-type.pbtxt

@@ -0,0 +1,122 @@
+path: "tensorflow.DType"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.dtypes.DType\'>"
+  is_instance: "<class \'tensorflow.python.framework._dtypes.DType\'>"
+  is_instance: "<class \'pybind11_builtins.pybind11_object\'>"
+  member {
+    name: "as_datatype_enum"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "as_numpy_dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "base_dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_bool"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_complex"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_floating"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_integer"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_numeric"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_numpy_compatible"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_quantized"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "is_unsigned"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "limits"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "max"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "min"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "real_dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "size"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'type_enum\', \'handle_data\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'cast_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'types\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-device-spec.pbtxt

@@ -0,0 +1,54 @@
+path: "tensorflow.DeviceSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.device_spec.DeviceSpecV1\'>"
+  is_instance: "<class \'tensorflow.python.framework.device_spec.DeviceSpecV2\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "device_index"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "device_type"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "job"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "replica"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "task"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'job\', \'replica\', \'task\', \'device_type\', \'device_index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_string"
+    argspec: "args=[\'cls\', \'spec\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "make_merged_spec"
+    argspec: "args=[\'self\', \'dev\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "merge_from"
+    argspec: "args=[\'self\', \'dev\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "parse_from_string"
+    argspec: "args=[\'self\', \'spec\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "replace"
+    argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
+  }
+  member_method {
+    name: "to_string"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-dimension.pbtxt

@@ -0,0 +1,25 @@
+path: "tensorflow.Dimension"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.tensor_shape.Dimension\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "value"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "assert_is_compatible_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "merge_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-event.pbtxt

@@ -0,0 +1,84 @@
+path: "tensorflow.Event"
+tf_proto {
+  descriptor {
+    name: "Event"
+    field {
+      name: "wall_time"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "step"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "file_version"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+      oneof_index: 0
+    }
+    field {
+      name: "graph_def"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+      oneof_index: 0
+    }
+    field {
+      name: "summary"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.Summary"
+      oneof_index: 0
+    }
+    field {
+      name: "log_message"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.LogMessage"
+      options {
+        deprecated: true
+      }
+      oneof_index: 0
+    }
+    field {
+      name: "session_log"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SessionLog"
+      oneof_index: 0
+    }
+    field {
+      name: "tagged_run_metadata"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TaggedRunMetadata"
+      oneof_index: 0
+    }
+    field {
+      name: "meta_graph_def"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+      oneof_index: 0
+    }
+    field {
+      name: "source_metadata"
+      number: 10
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SourceMetadata"
+    }
+    oneof_decl {
+      name: "what"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-f-i-f-o-queue.pbtxt

@@ -0,0 +1,66 @@
+path: "tensorflow.FIFOQueue"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.FIFOQueue\'>"
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtypes"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "names"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "queue_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shapes"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'capacity\', \'dtypes\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'fifo_queue\'], "
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "dequeue"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_many"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_up_to"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue_many"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_list"
+    argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_closed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "size"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-feature.pbtxt

@@ -0,0 +1,31 @@
+path: "tensorflow.FixedLenFeature"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.FixedLenFeature\'>"
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.FixedLenFeature\'>"
+  is_instance: "<class \'tuple\'>"
+  member {
+    name: "default_value"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "__new__"
+    argspec: "args=[\'cls\', \'shape\', \'dtype\', \'default_value\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "count"
+  }
+  member_method {
+    name: "index"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-sequence-feature.pbtxt

@@ -0,0 +1,35 @@
+path: "tensorflow.FixedLenSequenceFeature"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.FixedLenSequenceFeature\'>"
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.FixedLenSequenceFeature\'>"
+  is_instance: "<class \'tuple\'>"
+  member {
+    name: "allow_missing"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "default_value"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "__new__"
+    argspec: "args=[\'cls\', \'shape\', \'dtype\', \'allow_missing\', \'default_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "count"
+  }
+  member_method {
+    name: "index"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-fixed-length-record-reader.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.FixedLengthRecordReader"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.FixedLengthRecordReader\'>"
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'record_bytes\', \'header_bytes\', \'footer_bytes\', \'hop_bytes\', \'name\', \'encoding\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-g-p-u-options.pbtxt

@@ -0,0 +1,216 @@
+path: "tensorflow.GPUOptions"
+tf_proto {
+  descriptor {
+    name: "GPUOptions"
+    field {
+      name: "per_process_gpu_memory_fraction"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "allow_growth"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "allocator_type"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "deferred_deletion_bytes"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "visible_device_list"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "polling_active_delay_usecs"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "polling_inactive_delay_msecs"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "force_gpu_compatible"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "experimental"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GPUOptions.Experimental"
+    }
+    nested_type {
+      name: "Experimental"
+      field {
+        name: "virtual_devices"
+        number: 1
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.GPUOptions.Experimental.VirtualDevices"
+      }
+      field {
+        name: "num_virtual_devices_per_gpu"
+        number: 15
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "use_unified_memory"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "num_dev_to_dev_copy_streams"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "collective_ring_order"
+        number: 4
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "timestamped_allocator"
+        number: 5
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "kernel_tracker_max_interval"
+        number: 7
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "kernel_tracker_max_bytes"
+        number: 8
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "kernel_tracker_max_pending"
+        number: 9
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "internal_fragmentation_fraction"
+        number: 10
+        label: LABEL_OPTIONAL
+        type: TYPE_DOUBLE
+      }
+      field {
+        name: "use_cuda_malloc_async"
+        number: 11
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "disallow_retry_on_allocation_failure"
+        number: 12
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "gpu_host_mem_limit_in_mb"
+        number: 13
+        label: LABEL_OPTIONAL
+        type: TYPE_FLOAT
+      }
+      field {
+        name: "gpu_host_mem_disallow_growth"
+        number: 14
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "gpu_system_memory_size_in_mb"
+        number: 16
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "populate_pjrt_gpu_client_creation_info"
+        number: 17
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "node_id"
+        number: 18
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "stream_merge_options"
+        number: 19
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.GPUOptions.Experimental.StreamMergeOptions"
+      }
+      nested_type {
+        name: "VirtualDevices"
+        field {
+          name: "memory_limit_mb"
+          number: 1
+          label: LABEL_REPEATED
+          type: TYPE_FLOAT
+        }
+        field {
+          name: "priority"
+          number: 2
+          label: LABEL_REPEATED
+          type: TYPE_INT32
+        }
+        field {
+          name: "device_ordinal"
+          number: 3
+          label: LABEL_REPEATED
+          type: TYPE_INT32
+        }
+      }
+      nested_type {
+        name: "StreamMergeOptions"
+        field {
+          name: "merge_host_to_device_stream"
+          number: 1
+          label: LABEL_OPTIONAL
+          type: TYPE_BOOL
+        }
+        field {
+          name: "merge_device_to_host_stream"
+          number: 2
+          label: LABEL_OPTIONAL
+          type: TYPE_BOOL
+        }
+        field {
+          name: "merge_device_to_device_stream"
+          number: 3
+          label: LABEL_OPTIONAL
+          type: TYPE_BOOL
+        }
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-gradient-tape.pbtxt

@@ -0,0 +1,37 @@
+path: "tensorflow.GradientTape"
+tf_class {
+  is_instance: "<class \'tensorflow.python.eager.backprop.GradientTape\'>"
+  is_instance: "<class \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'persistent\', \'watch_accessed_variables\'], varargs=None, keywords=None, defaults=[\'False\', \'True\'], "
+  }
+  member_method {
+    name: "batch_jacobian"
+    argspec: "args=[\'self\', \'target\', \'source\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], varargs=None, keywords=None, defaults=[\'UnconnectedGradients.NONE\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "gradient"
+    argspec: "args=[\'self\', \'target\', \'sources\', \'output_gradients\', \'unconnected_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'UnconnectedGradients.NONE\'], "
+  }
+  member_method {
+    name: "jacobian"
+    argspec: "args=[\'self\', \'target\', \'sources\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], varargs=None, keywords=None, defaults=[\'UnconnectedGradients.NONE\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "stop_recording"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "watch"
+    argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "watched_variables"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-graph-def.pbtxt

@@ -0,0 +1,43 @@
+path: "tensorflow.GraphDef"
+tf_proto {
+  descriptor {
+    name: "GraphDef"
+    field {
+      name: "node"
+      number: 1
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.NodeDef"
+    }
+    field {
+      name: "versions"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.VersionDef"
+    }
+    field {
+      name: "version"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+      options {
+        deprecated: true
+      }
+    }
+    field {
+      name: "library"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.FunctionDefLibrary"
+    }
+    field {
+      name: "debug_info"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphDebugInfo"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-graph-keys.pbtxt

@@ -0,0 +1,140 @@
+path: "tensorflow.GraphKeys"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.ops.GraphKeys\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "ACTIVATIONS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "ASSET_FILEPATHS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "BIASES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "CONCATENATED_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "COND_CONTEXT"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "EVAL_STEP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "GLOBAL_STEP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "GLOBAL_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "INIT_OP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "LOCAL_INIT_OP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "LOCAL_RESOURCES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "LOCAL_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "LOSSES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "METRIC_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "MODEL_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "MOVING_AVERAGE_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "QUEUE_RUNNERS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "READY_FOR_LOCAL_INIT_OP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "READY_OP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "REGULARIZATION_LOSSES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "RESOURCES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "SAVEABLE_OBJECTS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "SAVERS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "SUMMARIES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "SUMMARY_OP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "TABLE_INITIALIZERS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "TRAINABLE_RESOURCE_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "TRAINABLE_VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "TRAIN_OP"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "UPDATE_OPS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "VARIABLES"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "WEIGHTS"
+    mtype: "<class \'str\'>"
+  }
+  member {
+    name: "WHILE_CONTEXT"
+    mtype: "<class \'str\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-graph-options.pbtxt

@@ -0,0 +1,67 @@
+path: "tensorflow.GraphOptions"
+tf_proto {
+  descriptor {
+    name: "GraphOptions"
+    field {
+      name: "enable_recv_scheduling"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "optimizer_options"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.OptimizerOptions"
+    }
+    field {
+      name: "build_cost_model"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "build_cost_model_after"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "infer_shapes"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "place_pruned_graph"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "enable_bfloat16_sendrecv"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "timeline_step"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "rewrite_options"
+      number: 10
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.RewriterConfig"
+    }
+    reserved_range {
+      start: 1
+      end: 2
+    }
+    reserved_name: "skip_common_subexpression_elimination"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-graph.pbtxt

@@ -0,0 +1,162 @@
+path: "tensorflow.Graph"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.ops.Graph\'>"
+  is_instance: "<class \'tensorflow.python.client._pywrap_tf_session.PyGraph\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "building_function"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "collections"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "finalized"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph_def_versions"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "operations"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "seed"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "version"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "Dismantle"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "add_to_collection"
+    argspec: "args=[\'self\', \'name\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "add_to_collections"
+    argspec: "args=[\'self\', \'names\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "as_default"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "as_graph_def"
+    argspec: "args=[\'self\', \'from_version\', \'add_shapes\', \'use_pybind11_proto\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\'], "
+  }
+  member_method {
+    name: "as_graph_element"
+    argspec: "args=[\'self\', \'obj\', \'allow_tensor\', \'allow_operation\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
+  }
+  member_method {
+    name: "clear_collection"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "colocate_with"
+    argspec: "args=[\'self\', \'op\', \'ignore_existing\'], varargs=None, keywords=None, defaults=[\'False\'], "
+  }
+  member_method {
+    name: "container"
+    argspec: "args=[\'self\', \'container_name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "control_dependencies"
+    argspec: "args=[\'self\', \'control_inputs\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "create_op"
+    argspec: "args=[\'self\', \'op_type\', \'inputs\', \'dtypes\', \'input_types\', \'name\', \'attrs\', \'op_def\', \'compute_shapes\', \'compute_device\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'True\'], "
+  }
+  member_method {
+    name: "device"
+    argspec: "args=[\'self\', \'device_name_or_function\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "finalize"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_all_collection_keys"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_collection"
+    argspec: "args=[\'self\', \'name\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "get_collection_ref"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_name_scope"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_operation_by_name"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_operations"
+  }
+  member_method {
+    name: "get_tensor_by_name"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "gradient_override_map"
+    argspec: "args=[\'self\', \'op_type_map\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_feedable"
+    argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_fetchable"
+    argspec: "args=[\'self\', \'tensor_or_op\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "name_scope"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "new_operations"
+  }
+  member_method {
+    name: "num_operations"
+  }
+  member_method {
+    name: "op_def_for_type"
+    argspec: "args=[\'self\', \'type\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "prevent_feeding"
+    argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "prevent_fetching"
+    argspec: "args=[\'self\', \'op\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "switch_to_thread_local"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "unique_name"
+    argspec: "args=[\'self\', \'name\', \'mark_as_used\'], varargs=None, keywords=None, defaults=[\'True\'], "
+  }
+}

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

@@ -0,0 +1,54 @@
+path: "tensorflow.HistogramProto"
+tf_proto {
+  descriptor {
+    name: "HistogramProto"
+    field {
+      name: "min"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "max"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "num"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "sum"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "sum_squares"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_DOUBLE
+    }
+    field {
+      name: "bucket_limit"
+      number: 6
+      label: LABEL_REPEATED
+      type: TYPE_DOUBLE
+      options {
+        packed: true
+      }
+    }
+    field {
+      name: "bucket"
+      number: 7
+      label: LABEL_REPEATED
+      type: TYPE_DOUBLE
+      options {
+        packed: true
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-identity-reader.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.IdentityReader"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.IdentityReader\'>"
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-indexed-slices-spec.pbtxt

@@ -0,0 +1,65 @@
+path: "tensorflow.IndexedSlicesSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.indexed_slices.IndexedSlicesSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'shape\', \'dtype\', \'indices_dtype\', \'dense_shape_dtype\', \'indices_shape\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \"<dtype: \'int64\'>\", \'None\', \'None\'], "
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-indexed-slices.pbtxt

@@ -0,0 +1,52 @@
+path: "tensorflow.IndexedSlices"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.indexed_slices.IndexedSlices\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.IndexedSlices\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.NativeObject\'>"
+  is_instance: "<class \'tensorflow.python.framework.composite_tensor.CompositeTensor\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dense_shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "device"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "indices"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "op"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'values\', \'indices\', \'dense_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "consumers"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-interactive-session.pbtxt

@@ -0,0 +1,51 @@
+path: "tensorflow.InteractiveSession"
+tf_class {
+  is_instance: "<class \'tensorflow.python.client.session.InteractiveSession\'>"
+  is_instance: "<class \'tensorflow.python.client.session.BaseSession\'>"
+  is_instance: "<class \'tensorflow.python.client.session.SessionInterface\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph_def"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "sess_str"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'target\', \'graph\', \'config\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "as_default"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "list_devices"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "make_callable"
+    argspec: "args=[\'self\', \'fetches\', \'feed_list\', \'accept_options\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+  }
+  member_method {
+    name: "partial_run"
+    argspec: "args=[\'self\', \'handle\', \'fetches\', \'feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "partial_run_setup"
+    argspec: "args=[\'self\', \'fetches\', \'feeds\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "run"
+    argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-l-m-d-b-reader.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.LMDBReader"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.LMDBReader\'>"
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'name\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-log-message.pbtxt

@@ -0,0 +1,52 @@
+path: "tensorflow.LogMessage"
+tf_proto {
+  descriptor {
+    name: "LogMessage"
+    field {
+      name: "level"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.LogMessage.Level"
+    }
+    field {
+      name: "message"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    enum_type {
+      name: "Level"
+      value {
+        name: "UNKNOWN"
+        number: 0
+      }
+      value {
+        name: "DEBUGGING"
+        number: 10
+      }
+      value {
+        name: "INFO"
+        number: 20
+      }
+      value {
+        name: "WARN"
+        number: 30
+      }
+      value {
+        name: "ERROR"
+        number: 40
+      }
+      value {
+        name: "FATAL"
+        number: 50
+      }
+      options {
+        deprecated: true
+      }
+    }
+    options {
+      deprecated: true
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt

@@ -0,0 +1,22 @@
+path: "tensorflow.MetaGraphDef.CollectionDefEntry"
+tf_proto {
+  descriptor {
+    name: "CollectionDefEntry"
+    field {
+      name: "key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.CollectionDef"
+    }
+    options {
+      map_entry: true
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-meta-info-def.-function-aliases-entry.pbtxt

@@ -0,0 +1,21 @@
+path: "tensorflow.MetaGraphDef.MetaInfoDef.FunctionAliasesEntry"
+tf_proto {
+  descriptor {
+    name: "FunctionAliasesEntry"
+    field {
+      name: "key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    options {
+      map_entry: true
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-meta-info-def.pbtxt

@@ -0,0 +1,75 @@
+path: "tensorflow.MetaGraphDef.MetaInfoDef"
+tf_proto {
+  descriptor {
+    name: "MetaInfoDef"
+    field {
+      name: "meta_graph_version"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "stripped_op_list"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.OpList"
+    }
+    field {
+      name: "any_info"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".google.protobuf.Any"
+    }
+    field {
+      name: "tags"
+      number: 4
+      label: LABEL_REPEATED
+      type: TYPE_STRING
+    }
+    field {
+      name: "tensorflow_version"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "tensorflow_git_version"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "stripped_default_attrs"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "function_aliases"
+      number: 8
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.MetaGraphDef.MetaInfoDef.FunctionAliasesEntry"
+    }
+    nested_type {
+      name: "FunctionAliasesEntry"
+      field {
+        name: "key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      options {
+        map_entry: true
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt

@@ -0,0 +1,22 @@
+path: "tensorflow.MetaGraphDef.SignatureDefEntry"
+tf_proto {
+  descriptor {
+    name: "SignatureDefEntry"
+    field {
+      name: "key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SignatureDef"
+    }
+    options {
+      map_entry: true
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.pbtxt

@@ -0,0 +1,165 @@
+path: "tensorflow.MetaGraphDef"
+tf_proto {
+  descriptor {
+    name: "MetaGraphDef"
+    field {
+      name: "meta_info_def"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.MetaGraphDef.MetaInfoDef"
+    }
+    field {
+      name: "graph_def"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphDef"
+    }
+    field {
+      name: "saver_def"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SaverDef"
+    }
+    field {
+      name: "collection_def"
+      number: 4
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.MetaGraphDef.CollectionDefEntry"
+    }
+    field {
+      name: "signature_def"
+      number: 5
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.MetaGraphDef.SignatureDefEntry"
+    }
+    field {
+      name: "asset_file_def"
+      number: 6
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.AssetFileDef"
+    }
+    field {
+      name: "object_graph_def"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SavedObjectGraph"
+    }
+    nested_type {
+      name: "MetaInfoDef"
+      field {
+        name: "meta_graph_version"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "stripped_op_list"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.OpList"
+      }
+      field {
+        name: "any_info"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".google.protobuf.Any"
+      }
+      field {
+        name: "tags"
+        number: 4
+        label: LABEL_REPEATED
+        type: TYPE_STRING
+      }
+      field {
+        name: "tensorflow_version"
+        number: 5
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "tensorflow_git_version"
+        number: 6
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "stripped_default_attrs"
+        number: 7
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "function_aliases"
+        number: 8
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.MetaGraphDef.MetaInfoDef.FunctionAliasesEntry"
+      }
+      nested_type {
+        name: "FunctionAliasesEntry"
+        field {
+          name: "key"
+          number: 1
+          label: LABEL_OPTIONAL
+          type: TYPE_STRING
+        }
+        field {
+          name: "value"
+          number: 2
+          label: LABEL_OPTIONAL
+          type: TYPE_STRING
+        }
+        options {
+          map_entry: true
+        }
+      }
+    }
+    nested_type {
+      name: "CollectionDefEntry"
+      field {
+        name: "key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.CollectionDef"
+      }
+      options {
+        map_entry: true
+      }
+    }
+    nested_type {
+      name: "SignatureDefEntry"
+      field {
+        name: "key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.SignatureDef"
+      }
+      options {
+        map_entry: true
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-module.pbtxt

@@ -0,0 +1,39 @@
+path: "tensorflow.Module"
+tf_class {
+  is_instance: "<class \'tensorflow.python.module.module.Module\'>"
+  is_instance: "<class \'tensorflow.python.trackable.autotrackable.AutoTrackable\'>"
+  is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name_scope"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "non_trainable_variables"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "submodules"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "trainable_variables"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "variables"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "with_name_scope"
+    argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.-attr-entry.pbtxt

@@ -0,0 +1,22 @@
+path: "tensorflow.NameAttrList.AttrEntry"
+tf_proto {
+  descriptor {
+    name: "AttrEntry"
+    field {
+      name: "key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.AttrValue"
+    }
+    options {
+      map_entry: true
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.pbtxt

@@ -0,0 +1,38 @@
+path: "tensorflow.NameAttrList"
+tf_proto {
+  descriptor {
+    name: "NameAttrList"
+    field {
+      name: "name"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "attr"
+      number: 2
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.NameAttrList.AttrEntry"
+    }
+    nested_type {
+      name: "AttrEntry"
+      field {
+        name: "key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.AttrValue"
+      }
+      options {
+        map_entry: true
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-node-def.-attr-entry.pbtxt

@@ -0,0 +1,22 @@
+path: "tensorflow.NodeDef.AttrEntry"
+tf_proto {
+  descriptor {
+    name: "AttrEntry"
+    field {
+      name: "key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.AttrValue"
+    }
+    options {
+      map_entry: true
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-node-def.-experimental-debug-info.pbtxt

@@ -0,0 +1,18 @@
+path: "tensorflow.NodeDef.ExperimentalDebugInfo"
+tf_proto {
+  descriptor {
+    name: "ExperimentalDebugInfo"
+    field {
+      name: "original_node_names"
+      number: 1
+      label: LABEL_REPEATED
+      type: TYPE_STRING
+    }
+    field {
+      name: "original_func_names"
+      number: 2
+      label: LABEL_REPEATED
+      type: TYPE_STRING
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-node-def.pbtxt

@@ -0,0 +1,85 @@
+path: "tensorflow.NodeDef"
+tf_proto {
+  descriptor {
+    name: "NodeDef"
+    field {
+      name: "name"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "op"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "input"
+      number: 3
+      label: LABEL_REPEATED
+      type: TYPE_STRING
+    }
+    field {
+      name: "device"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "attr"
+      number: 5
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.NodeDef.AttrEntry"
+    }
+    field {
+      name: "experimental_debug_info"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.NodeDef.ExperimentalDebugInfo"
+    }
+    field {
+      name: "experimental_type"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.FullTypeDef"
+    }
+    nested_type {
+      name: "AttrEntry"
+      field {
+        name: "key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.AttrValue"
+      }
+      options {
+        map_entry: true
+      }
+    }
+    nested_type {
+      name: "ExperimentalDebugInfo"
+      field {
+        name: "original_node_names"
+        number: 1
+        label: LABEL_REPEATED
+        type: TYPE_STRING
+      }
+      field {
+        name: "original_func_names"
+        number: 2
+        label: LABEL_REPEATED
+        type: TYPE_STRING
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-none-tensor-spec.pbtxt

@@ -0,0 +1,73 @@
+path: "tensorflow.NoneTensorSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.none_tensor.NoneTensorSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.BatchableTypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_value"
+    argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_shape"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-op-error.pbtxt

@@ -0,0 +1,29 @@
+path: "tensorflow.OpError"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>"
+  is_instance: "<class \'Exception\'>"
+  member {
+    name: "error_code"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "experimental_payloads"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "message"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "node_def"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "op"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=args, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-operation.pbtxt

@@ -0,0 +1,73 @@
+path: "tensorflow.Operation"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.ops.Operation\'>"
+  is_instance: "<class \'tensorflow.python.client._pywrap_tf_session.PyOperation\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "control_inputs"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "device"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "inputs"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "node_def"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "op_def"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "outputs"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "traceback"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "colocation_groups"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_set_type"
+    argspec: "args=[\'self\', \'type_proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_node_def"
+    argspec: "args=[\'cls\', \'node_def\', \'g\', \'inputs\', \'output_types\', \'control_inputs\', \'input_types\', \'original_op\', \'op_def\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "get_attr"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "run"
+    argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "values"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-optimizer-options.pbtxt

@@ -0,0 +1,80 @@
+path: "tensorflow.OptimizerOptions"
+tf_proto {
+  descriptor {
+    name: "OptimizerOptions"
+    field {
+      name: "do_common_subexpression_elimination"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "do_constant_folding"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "max_folded_constant_in_bytes"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "do_function_inlining"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "opt_level"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.OptimizerOptions.Level"
+    }
+    field {
+      name: "global_jit_level"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.OptimizerOptions.GlobalJitLevel"
+    }
+    field {
+      name: "cpu_global_jit"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    enum_type {
+      name: "Level"
+      value {
+        name: "L1"
+        number: 0
+      }
+      value {
+        name: "L0"
+        number: -1
+      }
+    }
+    enum_type {
+      name: "GlobalJitLevel"
+      value {
+        name: "DEFAULT"
+        number: 0
+      }
+      value {
+        name: "OFF"
+        number: -1
+      }
+      value {
+        name: "ON_1"
+        number: 1
+      }
+      value {
+        name: "ON_2"
+        number: 2
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-optional-spec.pbtxt

@@ -0,0 +1,69 @@
+path: "tensorflow.OptionalSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.data.ops.optional_ops.OptionalSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'element_spec\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_value"
+    argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-padding-f-i-f-o-queue.pbtxt

@@ -0,0 +1,66 @@
+path: "tensorflow.PaddingFIFOQueue"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.PaddingFIFOQueue\'>"
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtypes"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "names"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "queue_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shapes"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'capacity\', \'dtypes\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'padding_fifo_queue\'], "
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "dequeue"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_many"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_up_to"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue_many"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_list"
+    argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_closed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "size"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-priority-queue.pbtxt

@@ -0,0 +1,66 @@
+path: "tensorflow.PriorityQueue"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.PriorityQueue\'>"
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtypes"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "names"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "queue_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shapes"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'capacity\', \'types\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'priority_queue\'], "
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "dequeue"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_many"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_up_to"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue_many"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_list"
+    argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_closed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "size"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-queue-base.pbtxt

@@ -0,0 +1,65 @@
+path: "tensorflow.QueueBase"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtypes"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "names"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "queue_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shapes"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtypes\', \'shapes\', \'names\', \'queue_ref\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "dequeue"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_many"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_up_to"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue_many"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_list"
+    argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_closed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "size"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-ragged-tensor-spec.pbtxt

@@ -0,0 +1,91 @@
+path: "tensorflow.RaggedTensorSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.ragged.ragged_tensor.RaggedTensorSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.BatchableTypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.RaggedTensorSpec\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "flat_values_spec"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "ragged_rank"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "row_splits_dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'shape\', \'dtype\', \'ragged_rank\', \'row_splits_dtype\', \'flat_values_spec\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'None\', \"<dtype: \'int64\'>\", \'None\'], "
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_value"
+    argspec: "args=[\'cls\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-ragged-tensor.pbtxt

@@ -0,0 +1,160 @@
+path: "tensorflow.RaggedTensor"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor\'>"
+  is_instance: "<class \'tensorflow.python.framework.composite_tensor.CompositeTensor\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.NativeObject\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.RaggedTensor\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "flat_values"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "nested_row_splits"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "ragged_rank"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "row_splits"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "uniform_row_length"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'values\', \'row_partition\', \'internal\'], varargs=None, keywords=None, defaults=[\'False\'], "
+  }
+  member_method {
+    name: "bounding_shape"
+    argspec: "args=[\'self\', \'axis\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "consumers"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_nested_row_lengths"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_row_lengths\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_nested_row_splits"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_row_splits\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_nested_value_rowids"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_value_rowids\', \'nested_nrows\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_row_lengths"
+    argspec: "args=[\'cls\', \'values\', \'row_lengths\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_row_limits"
+    argspec: "args=[\'cls\', \'values\', \'row_limits\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_row_splits"
+    argspec: "args=[\'cls\', \'values\', \'row_splits\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_row_starts"
+    argspec: "args=[\'cls\', \'values\', \'row_starts\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
+  }
+  member_method {
+    name: "from_sparse"
+    argspec: "args=[\'cls\', \'st_input\', \'name\', \'row_splits_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int64\'>\"], "
+  }
+  member_method {
+    name: "from_tensor"
+    argspec: "args=[\'cls\', \'tensor\', \'lengths\', \'padding\', \'ragged_rank\', \'name\', \'row_splits_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \"<dtype: \'int64\'>\"], "
+  }
+  member_method {
+    name: "from_uniform_row_length"
+    argspec: "args=[\'cls\', \'values\', \'uniform_row_length\', \'nrows\', \'validate\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\'], "
+  }
+  member_method {
+    name: "from_value_rowids"
+    argspec: "args=[\'cls\', \'values\', \'value_rowids\', \'nrows\', \'name\', \'validate\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "get_shape"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "merge_dims"
+    argspec: "args=[\'self\', \'outer_axis\', \'inner_axis\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "nested_row_lengths"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "nested_value_rowids"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "nrows"
+    argspec: "args=[\'self\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "numpy"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "row_lengths"
+    argspec: "args=[\'self\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], "
+  }
+  member_method {
+    name: "row_limits"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "row_starts"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_list"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_sparse"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_tensor"
+    argspec: "args=[\'self\', \'default_value\', \'name\', \'shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "value_rowids"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "with_flat_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_row_splits_dtype"
+    argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-random-shuffle-queue.pbtxt

@@ -0,0 +1,66 @@
+path: "tensorflow.RandomShuffleQueue"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.RandomShuffleQueue\'>"
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtypes"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "names"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "queue_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shapes"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'capacity\', \'min_after_dequeue\', \'dtypes\', \'shapes\', \'names\', \'seed\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'random_shuffle_queue\'], "
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "dequeue"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_many"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "dequeue_up_to"
+    argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "enqueue_many"
+    argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_list"
+    argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_closed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "size"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-reader-base.pbtxt

@@ -0,0 +1,45 @@
+path: "tensorflow.ReaderBase"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'reader_ref\', \'supports_serialize\'], varargs=None, keywords=None, defaults=[\'False\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-register-gradient.pbtxt

@@ -0,0 +1,9 @@
+path: "tensorflow.RegisterGradient"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.ops.RegisterGradient\'>"
+  is_instance: "<class \'object\'>"
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'op_type\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-run-metadata.-function-graphs.pbtxt

@@ -0,0 +1,27 @@
+path: "tensorflow.RunMetadata.FunctionGraphs"
+tf_proto {
+  descriptor {
+    name: "FunctionGraphs"
+    field {
+      name: "partition_graphs"
+      number: 1
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphDef"
+    }
+    field {
+      name: "pre_optimization_graph"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphDef"
+    }
+    field {
+      name: "post_optimization_graph"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphDef"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-run-metadata.pbtxt

@@ -0,0 +1,65 @@
+path: "tensorflow.RunMetadata"
+tf_proto {
+  descriptor {
+    name: "RunMetadata"
+    field {
+      name: "step_stats"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.StepStats"
+    }
+    field {
+      name: "cost_graph"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.CostGraphDef"
+    }
+    field {
+      name: "partition_graphs"
+      number: 3
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.GraphDef"
+    }
+    field {
+      name: "function_graphs"
+      number: 4
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.RunMetadata.FunctionGraphs"
+    }
+    field {
+      name: "session_metadata"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SessionMetadata"
+    }
+    nested_type {
+      name: "FunctionGraphs"
+      field {
+        name: "partition_graphs"
+        number: 1
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.GraphDef"
+      }
+      field {
+        name: "pre_optimization_graph"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.GraphDef"
+      }
+      field {
+        name: "post_optimization_graph"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.GraphDef"
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-run-options.-experimental.-run-handler-pool-options.pbtxt

@@ -0,0 +1,12 @@
+path: "tensorflow.RunOptions.Experimental.RunHandlerPoolOptions"
+tf_proto {
+  descriptor {
+    name: "RunHandlerPoolOptions"
+    field {
+      name: "priority"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-run-options.-experimental.pbtxt

@@ -0,0 +1,34 @@
+path: "tensorflow.RunOptions.Experimental"
+tf_proto {
+  descriptor {
+    name: "Experimental"
+    field {
+      name: "collective_graph_key"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "use_run_handler_pool"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "run_handler_pool_options"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.RunOptions.Experimental.RunHandlerPoolOptions"
+    }
+    nested_type {
+      name: "RunHandlerPoolOptions"
+      field {
+        name: "priority"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_INT64
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-run-options.pbtxt

@@ -0,0 +1,105 @@
+path: "tensorflow.RunOptions"
+tf_proto {
+  descriptor {
+    name: "RunOptions"
+    field {
+      name: "trace_level"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.RunOptions.TraceLevel"
+    }
+    field {
+      name: "timeout_in_ms"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "inter_op_thread_pool"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "output_partition_graphs"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "debug_options"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.DebugOptions"
+    }
+    field {
+      name: "report_tensor_allocations_upon_oom"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_BOOL
+    }
+    field {
+      name: "experimental"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.RunOptions.Experimental"
+    }
+    nested_type {
+      name: "Experimental"
+      field {
+        name: "collective_graph_key"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_INT64
+      }
+      field {
+        name: "use_run_handler_pool"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_BOOL
+      }
+      field {
+        name: "run_handler_pool_options"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.RunOptions.Experimental.RunHandlerPoolOptions"
+      }
+      nested_type {
+        name: "RunHandlerPoolOptions"
+        field {
+          name: "priority"
+          number: 1
+          label: LABEL_OPTIONAL
+          type: TYPE_INT64
+        }
+      }
+    }
+    enum_type {
+      name: "TraceLevel"
+      value {
+        name: "NO_TRACE"
+        number: 0
+      }
+      value {
+        name: "SOFTWARE_TRACE"
+        number: 1
+      }
+      value {
+        name: "HARDWARE_TRACE"
+        number: 2
+      }
+      value {
+        name: "FULL_TRACE"
+        number: 3
+      }
+    }
+    reserved_range {
+      start: 4
+      end: 5
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-session-log.pbtxt

@@ -0,0 +1,44 @@
+path: "tensorflow.SessionLog"
+tf_proto {
+  descriptor {
+    name: "SessionLog"
+    field {
+      name: "status"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.SessionLog.SessionStatus"
+    }
+    field {
+      name: "checkpoint_path"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "msg"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    enum_type {
+      name: "SessionStatus"
+      value {
+        name: "STATUS_UNSPECIFIED"
+        number: 0
+      }
+      value {
+        name: "START"
+        number: 1
+      }
+      value {
+        name: "STOP"
+        number: 2
+      }
+      value {
+        name: "CHECKPOINT"
+        number: 3
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-session.pbtxt

@@ -0,0 +1,55 @@
+path: "tensorflow.Session"
+tf_class {
+  is_instance: "<class \'tensorflow.python.client.session.Session\'>"
+  is_instance: "<class \'tensorflow.python.client.session.BaseSession\'>"
+  is_instance: "<class \'tensorflow.python.client.session.SessionInterface\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph_def"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "sess_str"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'target\', \'graph\', \'config\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "as_default"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "list_devices"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "make_callable"
+    argspec: "args=[\'self\', \'fetches\', \'feed_list\', \'accept_options\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
+  }
+  member_method {
+    name: "partial_run"
+    argspec: "args=[\'self\', \'handle\', \'fetches\', \'feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "partial_run_setup"
+    argspec: "args=[\'self\', \'fetches\', \'feeds\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'target\', \'containers\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "run"
+    argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-sparse-conditional-accumulator.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.SparseConditionalAccumulator"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.SparseConditionalAccumulator\'>"
+  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "accumulator_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\', \'reduction_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'sparse_conditional_accumulator\', \'MEAN\'], "
+  }
+  member_method {
+    name: "apply_grad"
+    argspec: "args=[\'self\', \'grad_indices\', \'grad_values\', \'grad_shape\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], "
+  }
+  member_method {
+    name: "apply_indexed_slices_grad"
+    argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
+  }
+  member_method {
+    name: "num_accumulated"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "set_global_step"
+    argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "take_grad"
+    argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "take_indexed_slices_grad"
+    argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-sparse-feature.pbtxt

@@ -0,0 +1,39 @@
+path: "tensorflow.SparseFeature"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.SparseFeature\'>"
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.SparseFeature\'>"
+  is_instance: "<class \'tuple\'>"
+  member {
+    name: "already_sorted"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "index_key"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "size"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "value_key"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "__new__"
+    argspec: "args=[\'cls\', \'index_key\', \'value_key\', \'dtype\', \'size\', \'already_sorted\'], varargs=None, keywords=None, defaults=[\'False\'], "
+  }
+  member_method {
+    name: "count"
+  }
+  member_method {
+    name: "index"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor-spec.pbtxt

@@ -0,0 +1,78 @@
+path: "tensorflow.SparseTensorSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensorSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.BatchableTypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'shape\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_value"
+    argspec: "args=[\'cls\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor-value.pbtxt

@@ -0,0 +1,30 @@
+path: "tensorflow.SparseTensorValue"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensorValue\'>"
+  is_instance: "<class \'tuple\'>"
+  member {
+    name: "dense_shape"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "indices"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "__new__"
+    argspec: "args=[\'_cls\', \'indices\', \'values\', \'dense_shape\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "count"
+  }
+  member_method {
+    name: "index"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor.pbtxt

@@ -0,0 +1,63 @@
+path: "tensorflow.SparseTensor"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensor\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.NativeObject\'>"
+  is_instance: "<class \'tensorflow.python.framework.composite_tensor.CompositeTensor\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dense_shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "indices"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "op"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'indices\', \'values\', \'dense_shape\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "consumers"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "eval"
+    argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_value"
+    argspec: "args=[\'cls\', \'sparse_tensor_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_shape"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_shape"
+    argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-summary-metadata.-plugin-data.pbtxt

@@ -0,0 +1,18 @@
+path: "tensorflow.SummaryMetadata.PluginData"
+tf_proto {
+  descriptor {
+    name: "PluginData"
+    field {
+      name: "plugin_name"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "content"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-summary-metadata.pbtxt

@@ -0,0 +1,47 @@
+path: "tensorflow.SummaryMetadata"
+tf_proto {
+  descriptor {
+    name: "SummaryMetadata"
+    field {
+      name: "plugin_data"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SummaryMetadata.PluginData"
+    }
+    field {
+      name: "display_name"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "summary_description"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "data_class"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.DataClass"
+    }
+    nested_type {
+      name: "PluginData"
+      field {
+        name: "plugin_name"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "content"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_BYTES
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-summary.-audio.pbtxt

@@ -0,0 +1,36 @@
+path: "tensorflow.Summary.Audio"
+tf_proto {
+  descriptor {
+    name: "Audio"
+    field {
+      name: "sample_rate"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_FLOAT
+    }
+    field {
+      name: "num_channels"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "length_frames"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT64
+    }
+    field {
+      name: "encoded_audio_string"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+    }
+    field {
+      name: "content_type"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-summary.-image.pbtxt

@@ -0,0 +1,30 @@
+path: "tensorflow.Summary.Image"
+tf_proto {
+  descriptor {
+    name: "Image"
+    field {
+      name: "height"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "width"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "colorspace"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_INT32
+    }
+    field {
+      name: "encoded_image_string"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-summary.-value.pbtxt

@@ -0,0 +1,74 @@
+path: "tensorflow.Summary.Value"
+tf_proto {
+  descriptor {
+    name: "Value"
+    field {
+      name: "node_name"
+      number: 7
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "tag"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "metadata"
+      number: 9
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.SummaryMetadata"
+    }
+    field {
+      name: "simple_value"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_FLOAT
+      oneof_index: 0
+    }
+    field {
+      name: "obsolete_old_style_histogram"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_BYTES
+      oneof_index: 0
+    }
+    field {
+      name: "image"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.Summary.Image"
+      oneof_index: 0
+    }
+    field {
+      name: "histo"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.HistogramProto"
+      oneof_index: 0
+    }
+    field {
+      name: "audio"
+      number: 6
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.Summary.Audio"
+      oneof_index: 0
+    }
+    field {
+      name: "tensor"
+      number: 8
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorProto"
+      oneof_index: 0
+    }
+    oneof_decl {
+      name: "value"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-summary.pbtxt

@@ -0,0 +1,144 @@
+path: "tensorflow.Summary"
+tf_proto {
+  descriptor {
+    name: "Summary"
+    field {
+      name: "value"
+      number: 1
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.Summary.Value"
+    }
+    nested_type {
+      name: "Image"
+      field {
+        name: "height"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "width"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "colorspace"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_INT32
+      }
+      field {
+        name: "encoded_image_string"
+        number: 4
+        label: LABEL_OPTIONAL
+        type: TYPE_BYTES
+      }
+    }
+    nested_type {
+      name: "Audio"
+      field {
+        name: "sample_rate"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_FLOAT
+      }
+      field {
+        name: "num_channels"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_INT64
+      }
+      field {
+        name: "length_frames"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_INT64
+      }
+      field {
+        name: "encoded_audio_string"
+        number: 4
+        label: LABEL_OPTIONAL
+        type: TYPE_BYTES
+      }
+      field {
+        name: "content_type"
+        number: 5
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+    }
+    nested_type {
+      name: "Value"
+      field {
+        name: "node_name"
+        number: 7
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "tag"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "metadata"
+        number: 9
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.SummaryMetadata"
+      }
+      field {
+        name: "simple_value"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_FLOAT
+        oneof_index: 0
+      }
+      field {
+        name: "obsolete_old_style_histogram"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_BYTES
+        oneof_index: 0
+      }
+      field {
+        name: "image"
+        number: 4
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.Summary.Image"
+        oneof_index: 0
+      }
+      field {
+        name: "histo"
+        number: 5
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.HistogramProto"
+        oneof_index: 0
+      }
+      field {
+        name: "audio"
+        number: 6
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.Summary.Audio"
+        oneof_index: 0
+      }
+      field {
+        name: "tensor"
+        number: 8
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.TensorProto"
+        oneof_index: 0
+      }
+      oneof_decl {
+        name: "value"
+      }
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-t-f-record-reader.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.TFRecordReader"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.TFRecordReader\'>"
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'name\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-array-spec.pbtxt

@@ -0,0 +1,69 @@
+path: "tensorflow.TensorArraySpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.tensor_array_ops.TensorArraySpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'element_shape\', \'dtype\', \'dynamic_size\', \'infer_shape\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'False\', \'True\'], "
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_value"
+    argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-array.pbtxt

@@ -0,0 +1,77 @@
+path: "tensorflow.TensorArray"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.tensor_array_ops.TensorArray\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dynamic_size"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "element_shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "flow"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "handle"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dtype\', \'size\', \'dynamic_size\', \'clear_after_read\', \'tensor_array_name\', \'handle\', \'flow\', \'infer_shape\', \'element_shape\', \'colocate_with_first_write_call\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'True\', \'None\'], "
+  }
+  member_method {
+    name: "close"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "concat"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "gather"
+    argspec: "args=[\'self\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "grad"
+    argspec: "args=[\'self\', \'source\', \'flow\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "identity"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'index\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "scatter"
+    argspec: "args=[\'self\', \'indices\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "size"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "split"
+    argspec: "args=[\'self\', \'value\', \'lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "stack"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "unstack"
+    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "write"
+    argspec: "args=[\'self\', \'index\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.-composite-tensor.pbtxt

@@ -0,0 +1,20 @@
+path: "tensorflow.TensorInfo.CompositeTensor"
+tf_proto {
+  descriptor {
+    name: "CompositeTensor"
+    field {
+      name: "type_spec"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TypeSpecProto"
+    }
+    field {
+      name: "components"
+      number: 2
+      label: LABEL_REPEATED
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorInfo"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.-coo-sparse.pbtxt

@@ -0,0 +1,24 @@
+path: "tensorflow.TensorInfo.CooSparse"
+tf_proto {
+  descriptor {
+    name: "CooSparse"
+    field {
+      name: "values_tensor_name"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "indices_tensor_name"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+    field {
+      name: "dense_shape_tensor_name"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.pbtxt

@@ -0,0 +1,84 @@
+path: "tensorflow.TensorInfo"
+tf_proto {
+  descriptor {
+    name: "TensorInfo"
+    field {
+      name: "name"
+      number: 1
+      label: LABEL_OPTIONAL
+      type: TYPE_STRING
+      oneof_index: 0
+    }
+    field {
+      name: "coo_sparse"
+      number: 4
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorInfo.CooSparse"
+      oneof_index: 0
+    }
+    field {
+      name: "composite_tensor"
+      number: 5
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorInfo.CompositeTensor"
+      oneof_index: 0
+    }
+    field {
+      name: "dtype"
+      number: 2
+      label: LABEL_OPTIONAL
+      type: TYPE_ENUM
+      type_name: ".tensorflow.DataType"
+    }
+    field {
+      name: "tensor_shape"
+      number: 3
+      label: LABEL_OPTIONAL
+      type: TYPE_MESSAGE
+      type_name: ".tensorflow.TensorShapeProto"
+    }
+    nested_type {
+      name: "CooSparse"
+      field {
+        name: "values_tensor_name"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "indices_tensor_name"
+        number: 2
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+      field {
+        name: "dense_shape_tensor_name"
+        number: 3
+        label: LABEL_OPTIONAL
+        type: TYPE_STRING
+      }
+    }
+    nested_type {
+      name: "CompositeTensor"
+      field {
+        name: "type_spec"
+        number: 1
+        label: LABEL_OPTIONAL
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.TypeSpecProto"
+      }
+      field {
+        name: "components"
+        number: 2
+        label: LABEL_REPEATED
+        type: TYPE_MESSAGE
+        type_name: ".tensorflow.TensorInfo"
+      }
+    }
+    oneof_decl {
+      name: "encoding"
+    }
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-shape.pbtxt

@@ -0,0 +1,123 @@
+path: "tensorflow.TensorShape"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.tensor_shape.TensorShape\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dims"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "ndims"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "rank"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'dims\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "as_list"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "assert_has_rank"
+    argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "assert_is_compatible_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "assert_is_fully_defined"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "assert_same_rank"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'cast_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "concatenate"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_fully_defined"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "merge_with"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_shape"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "num_elements"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_rank"
+    argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_rank_at_least"
+    argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_rank_at_most"
+    argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor-spec.pbtxt

@@ -0,0 +1,88 @@
+path: "tensorflow.TensorSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.tensor.TensorSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.tensor.DenseSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.BatchableTypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TensorSpec\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "value_type"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_spec"
+    argspec: "args=[\'cls\', \'spec\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_tensor"
+    argspec: "args=[\'cls\', \'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_tensor\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-tensor.pbtxt

@@ -0,0 +1,51 @@
+path: "tensorflow.Tensor"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.tensor.Tensor\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.NativeObject\'>"
+  is_instance: "<class \'tensorflow.python.types.core.Symbol\'>"
+  is_instance: "<class \'tensorflow.python.types.core.Tensor\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "OVERLOADABLE_OPERATORS"
+    mtype: "<class \'set\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "ndim"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "eval"
+    argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "experimental_ref"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_shape"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "ref"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_shape"
+    argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-text-line-reader.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.TextLineReader"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.TextLineReader\'>"
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'skip_header_lines\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-type-spec.pbtxt

@@ -0,0 +1,63 @@
+path: "tensorflow.TypeSpec"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.type_spec.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.TypeSpec\'>"
+  is_instance: "<class \'tensorflow.python.types.trace.TraceType\'>"
+  is_instance: "<class \'tensorflow.core.function.trace_type.serialization.Serializable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "value_type"
+    mtype: "<class \'abc.abstractproperty\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "cast"
+    argspec: "args=[\'self\', \'value\', \'casting_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_as_proto"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_from_proto"
+    argspec: "args=[\'cls\', \'proto\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "experimental_type_proto"
+    argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "flatten"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensors"
+    argspec: "args=[\'self\', \'tensors\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_compatible_with"
+    argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "is_subtype_of"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_common_supertype"
+    argspec: "args=[\'self\', \'others\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "most_specific_compatible_type"
+    argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "placeholder_value"
+    argspec: "args=[\'self\', \'placeholder_context\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_tensors"
+    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-unconnected-gradients.pbtxt

@@ -0,0 +1,12 @@
+path: "tensorflow.UnconnectedGradients"
+tf_class {
+  is_instance: "<enum \'UnconnectedGradients\'>"
+  member {
+    name: "NONE"
+    mtype: "<enum \'UnconnectedGradients\'>"
+  }
+  member {
+    name: "ZERO"
+    mtype: "<enum \'UnconnectedGradients\'>"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-var-len-feature.pbtxt

@@ -0,0 +1,23 @@
+path: "tensorflow.VarLenFeature"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.VarLenFeature\'>"
+  is_instance: "<class \'tensorflow.python.ops.parsing_config.VarLenFeature\'>"
+  is_instance: "<class \'tuple\'>"
+  member {
+    name: "dtype"
+    mtype: "<class \'collections._tuplegetter\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "__new__"
+    argspec: "args=[\'_cls\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "count"
+  }
+  member_method {
+    name: "index"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-variable-aggregation.pbtxt

@@ -0,0 +1,24 @@
+path: "tensorflow.VariableAggregation"
+tf_class {
+  is_instance: "<enum \'VariableAggregation\'>"
+  member {
+    name: "MEAN"
+    mtype: "<enum \'VariableAggregation\'>"
+  }
+  member {
+    name: "NONE"
+    mtype: "<enum \'VariableAggregation\'>"
+  }
+  member {
+    name: "ONLY_FIRST_REPLICA"
+    mtype: "<enum \'VariableAggregation\'>"
+  }
+  member {
+    name: "ONLY_FIRST_TOWER"
+    mtype: "<enum \'VariableAggregation\'>"
+  }
+  member {
+    name: "SUM"
+    mtype: "<enum \'VariableAggregation\'>"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-variable-scope.pbtxt

@@ -0,0 +1,105 @@
+path: "tensorflow.VariableScope"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.variable_scope.VariableScope\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "caching_device"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "constraint"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "custom_getter"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "initializer"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "original_name_scope"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "partitioner"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "regularizer"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "reuse"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "use_resource"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'reuse\', \'name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'name_scope\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\', \'None\', \'None\', \'None\', \'\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
+  }
+  member_method {
+    name: "get_collection"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_variable"
+    argspec: "args=[\'self\', \'var_store\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'reuse\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
+  }
+  member_method {
+    name: "global_variables"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "local_variables"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "reuse_variables"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_caching_device"
+    argspec: "args=[\'self\', \'caching_device\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_custom_getter"
+    argspec: "args=[\'self\', \'custom_getter\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_dtype"
+    argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_initializer"
+    argspec: "args=[\'self\', \'initializer\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_partitioner"
+    argspec: "args=[\'self\', \'partitioner\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_regularizer"
+    argspec: "args=[\'self\', \'regularizer\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_use_resource"
+    argspec: "args=[\'self\', \'use_resource\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "trainable_variables"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-variable-synchronization.pbtxt

@@ -0,0 +1,20 @@
+path: "tensorflow.VariableSynchronization"
+tf_class {
+  is_instance: "<enum \'VariableSynchronization\'>"
+  member {
+    name: "AUTO"
+    mtype: "<enum \'VariableSynchronization\'>"
+  }
+  member {
+    name: "NONE"
+    mtype: "<enum \'VariableSynchronization\'>"
+  }
+  member {
+    name: "ON_READ"
+    mtype: "<enum \'VariableSynchronization\'>"
+  }
+  member {
+    name: "ON_WRITE"
+    mtype: "<enum \'VariableSynchronization\'>"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-variable.-save-slice-info.pbtxt

@@ -0,0 +1,21 @@
+path: "tensorflow.Variable.SaveSliceInfo"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.variables.SaveSliceInfo\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "spec"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'full_name\', \'full_shape\', \'var_offset\', \'var_shape\', \'save_slice_info_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_spec"
+    argspec: "args=[\'cls\', \'spec\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_proto"
+    argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-variable.pbtxt

@@ -0,0 +1,175 @@
+path: "tensorflow.Variable"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.variable_v1.VariableV1\'>"
+  is_instance: "<class \'tensorflow.python.ops.variables.Variable\'>"
+  is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "SaveSliceInfo"
+    mtype: "<class \'type\'>"
+  }
+  member {
+    name: "aggregation"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "constraint"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "device"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "initial_value"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "initializer"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "op"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "synchronization"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "trainable"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'initial_value\', \'trainable\', \'collections\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'expected_shape\', \'import_scope\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], "
+  }
+  member_method {
+    name: "assign"
+    argspec: "args=[\'self\', \'value\', \'use_locking\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "assign_add"
+    argspec: "args=[\'self\', \'delta\', \'use_locking\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "assign_sub"
+    argspec: "args=[\'self\', \'delta\', \'use_locking\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'True\'], "
+  }
+  member_method {
+    name: "batch_scatter_update"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "count_up_to"
+    argspec: "args=[\'self\', \'limit\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "eval"
+    argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "experimental_ref"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_proto"
+    argspec: "args=[\'variable_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "gather_nd"
+    argspec: "args=[\'self\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "get_shape"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "initialized_value"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "load"
+    argspec: "args=[\'self\', \'value\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_value"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "ref"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "scatter_add"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "scatter_div"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "scatter_max"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "scatter_min"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "scatter_mul"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "scatter_nd_add"
+    argspec: "args=[\'self\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "scatter_nd_sub"
+    argspec: "args=[\'self\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "scatter_nd_update"
+    argspec: "args=[\'self\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "scatter_sub"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "scatter_update"
+    argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "set_shape"
+    argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "sparse_read"
+    argspec: "args=[\'self\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_proto"
+    argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "value"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.-whole-file-reader.pbtxt

@@ -0,0 +1,46 @@
+path: "tensorflow.WholeFileReader"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.io_ops.WholeFileReader\'>"
+  is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "reader_ref"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "supports_serialize"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_records_produced"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "num_work_units_completed"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read"
+    argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "read_up_to"
+    argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "reset"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "restore_state"
+    argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "serialize_state"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.__internal__.-symbolic-tensor.pbtxt

@@ -0,0 +1,72 @@
+path: "tensorflow.__internal__.SymbolicTensor"
+tf_class {
+  is_instance: "<class \'tensorflow.python.framework.ops.SymbolicTensor\'>"
+  is_instance: "<class \'tensorflow.python.client._pywrap_tf_session.PyTensor\'>"
+  is_instance: "<class \'tensorflow.python.framework.tensor.Tensor\'>"
+  is_instance: "<class \'tensorflow.python.types.internal.NativeObject\'>"
+  is_instance: "<class \'tensorflow.python.types.core.Symbol\'>"
+  is_instance: "<class \'tensorflow.python.types.core.Tensor\'>"
+  is_instance: "<class \'object\'>"
+  member {
+    name: "OVERLOADABLE_OPERATORS"
+    mtype: "<class \'set\'>"
+  }
+  member {
+    name: "device"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "graph"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "ndim"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "op"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<class \'property\'>"
+  }
+  member {
+    name: "value_index"
+    mtype: "<class \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+  }
+  member_method {
+    name: "consumers"
+  }
+  member_method {
+    name: "eval"
+    argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "experimental_ref"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_shape"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "ref"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "set_shape"
+    argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.__internal__.pbtxt

@@ -0,0 +1,11 @@
+path: "tensorflow.__internal__"
+tf_module {
+  member {
+    name: "SymbolicTensor"
+    mtype: "<class \'type\'>"
+  }
+  member {
+    name: "types"
+    mtype: "<class \'module\'>"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.__internal__.types.data.-dataset.pbtxt

@@ -0,0 +1,9 @@
+path: "tensorflow.__internal__.types.data.Dataset"
+tf_class {
+  is_instance: "<class \'tensorflow.python.types.data.DatasetV1\'>"
+  is_instance: "<class \'tensorflow.python.types.data.DatasetV2\'>"
+  is_instance: "<class \'abc.ABC\'>"
+  member_method {
+    name: "__init__"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.__internal__.types.data.pbtxt

@@ -0,0 +1,7 @@
+path: "tensorflow.__internal__.types.data"
+tf_module {
+  member {
+    name: "Dataset"
+    mtype: "<class \'abc.ABCMeta\'>"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.__internal__.types.pbtxt

@@ -0,0 +1,7 @@
+path: "tensorflow.__internal__.types"
+tf_module {
+  member {
+    name: "data"
+    mtype: "<class \'module\'>"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.app.pbtxt

@@ -0,0 +1,11 @@
+path: "tensorflow.app"
+tf_module {
+  member {
+    name: "flags"
+    mtype: "<class \'module\'>"
+  }
+  member_method {
+    name: "run"
+    argspec: "args=[\'main\', \'argv\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.audio.pbtxt

@@ -0,0 +1,11 @@
+path: "tensorflow.audio"
+tf_module {
+  member_method {
+    name: "decode_wav"
+    argspec: "args=[\'contents\', \'desired_channels\', \'desired_samples\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'-1\', \'None\'], "
+  }
+  member_method {
+    name: "encode_wav"
+    argspec: "args=[\'audio\', \'sample_rate\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.autograph.experimental.-feature.pbtxt

@@ -0,0 +1,32 @@
+path: "tensorflow.autograph.experimental.Feature"
+tf_class {
+  is_instance: "<enum \'Feature\'>"
+  member {
+    name: "ALL"
+    mtype: "<enum \'Feature\'>"
+  }
+  member {
+    name: "ASSERT_STATEMENTS"
+    mtype: "<enum \'Feature\'>"
+  }
+  member {
+    name: "AUTO_CONTROL_DEPS"
+    mtype: "<enum \'Feature\'>"
+  }
+  member {
+    name: "BUILTIN_FUNCTIONS"
+    mtype: "<enum \'Feature\'>"
+  }
+  member {
+    name: "EQUALITY_OPERATORS"
+    mtype: "<enum \'Feature\'>"
+  }
+  member {
+    name: "LISTS"
+    mtype: "<enum \'Feature\'>"
+  }
+  member {
+    name: "NAME_SCOPES"
+    mtype: "<enum \'Feature\'>"
+  }
+}