wehub/tensorflow--tensorflow
1
0
Fork 0
Code Issues Pull Requests Actions 5 Deployments Models Agent Notes Packages Projects Releases Wiki Activity

chore: import upstream snapshot with attribution
cffconvert / validate (push) Has been skipped
Details
License Check / license-check (push) Failing after 2s
Details

Browse Source
This commit is contained in:
wehub-resource-sync
2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
36502 changed files with 9277225 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt
+24
View File
@@ -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/v2/tensorflow.-critical-section.pbtxt
+17
View File
@@ -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/v2/tensorflow.-d-type.pbtxt
+122
View File
@@ -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/v2/tensorflow.-device-spec.pbtxt
+49
View File
@@ -0,0 +1,49 @@
path: "tensorflow.DeviceSpec"
tf_class {
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: "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/v2/tensorflow.-gradient-tape.pbtxt
+37
View File
@@ -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/v2/tensorflow.-graph.pbtxt
+162
View File
@@ -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/v2/tensorflow.-indexed-slices-spec.pbtxt
+65
View File
@@ -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/v2/tensorflow.-indexed-slices.pbtxt
+52
View File
@@ -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/v2/tensorflow.-module.pbtxt
+39
View File
@@ -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/v2/tensorflow.-none-tensor-spec.pbtxt
+73
View File
@@ -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/v2/tensorflow.-operation.pbtxt
+73
View File
@@ -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/v2/tensorflow.-optional-spec.pbtxt
+69
View File
@@ -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/v2/tensorflow.-ragged-tensor-spec.pbtxt
+91
View File
@@ -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/v2/tensorflow.-ragged-tensor.pbtxt
+160
View File
@@ -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/v2/tensorflow.-register-gradient.pbtxt
+9
View File
@@ -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/v2/tensorflow.-sparse-tensor-spec.pbtxt
+78
View File
@@ -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/v2/tensorflow.-sparse-tensor.pbtxt
+63
View File
@@ -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/v2/tensorflow.-tensor-array-spec.pbtxt
+69
View File
@@ -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/v2/tensorflow.-tensor-array.pbtxt
+77
View File
@@ -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/v2/tensorflow.-tensor-shape.pbtxt
+123
View File
@@ -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/v2/tensorflow.-tensor-spec.pbtxt
+88
View File
@@ -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/v2/tensorflow.-tensor.pbtxt
+51
View File
@@ -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/v2/tensorflow.-type-spec.pbtxt
+63
View File
@@ -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/v2/tensorflow.-unconnected-gradients.pbtxt
+12
View File
@@ -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/v2/tensorflow.-variable-aggregation.pbtxt
+20
View File
@@ -0,0 +1,20 @@
path: "tensorflow.VariableAggregation"
tf_class {
is_instance: "<enum \'VariableAggregationV2\'>"
member {
name: "MEAN"
mtype: "<enum \'VariableAggregationV2\'>"
}
member {
name: "NONE"
mtype: "<enum \'VariableAggregationV2\'>"
}
member {
name: "ONLY_FIRST_REPLICA"
mtype: "<enum \'VariableAggregationV2\'>"
}
member {
name: "SUM"
mtype: "<enum \'VariableAggregationV2\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt
+20
View File
@@ -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/v2/tensorflow.-variable.-save-slice-info.pbtxt
+21
View File
@@ -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/v2/tensorflow.-variable.pbtxt
+174
View File
@@ -0,0 +1,174 @@
path: "tensorflow.Variable"
tf_class {
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\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'import_scope\', \'constraint\', \'synchronization\', \'aggregation\', \'shape\', \'experimental_enable_variable_lifting\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\', \'True\'], "
}
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/v2/tensorflow.__internal__.-composite-tensor.pbtxt
+8
View File
@@ -0,0 +1,8 @@
path: "tensorflow.__internal__.CompositeTensor"
tf_class {
is_instance: "<class \'tensorflow.python.framework.composite_tensor.CompositeTensor\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.-eager-tensor.pbtxt
+94
View File
@@ -0,0 +1,94 @@
path: "tensorflow.__internal__.EagerTensor"
tf_class {
is_instance: "<class \'tensorflow.python.framework.ops.EagerTensor\'>"
is_instance: "<class \'tensorflow.python.framework.ops._EagerTensorBase\'>"
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.Value\'>"
is_instance: "<class \'tensorflow.python.types.core.Tensor\'>"
is_instance: "<class \'object\'>"
member {
name: "OVERLOADABLE_OPERATORS"
mtype: "<class \'set\'>"
}
member {
name: "backing_device"
mtype: "<class \'getset_descriptor\'>"
}
member {
name: "device"
mtype: "<class \'getset_descriptor\'>"
}
member {
name: "dtype"
mtype: "<class \'property\'>"
}
member {
name: "graph"
mtype: "<class \'property\'>"
}
member {
name: "is_packed"
mtype: "<class \'getset_descriptor\'>"
}
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"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "cpu"
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: "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: "gpu"
argspec: "args=[\'self\', \'gpu_index\'], varargs=None, keywords=None, defaults=[\'0\'], "
}
member_method {
name: "numpy"
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/v2/tensorflow.__internal__.-func-graph.pbtxt
+247
View File
@@ -0,0 +1,247 @@
path: "tensorflow.__internal__.FuncGraph"
tf_class {
is_instance: "<class \'tensorflow.python.framework.func_graph.FuncGraph\'>"
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: "captures"
mtype: "<class \'property\'>"
}
member {
name: "collections"
mtype: "<class \'property\'>"
}
member {
name: "deferred_external_captures"
mtype: "<class \'property\'>"
}
member {
name: "deferred_internal_captures"
mtype: "<class \'property\'>"
}
member {
name: "external_captures"
mtype: "<class \'property\'>"
}
member {
name: "finalized"
mtype: "<class \'property\'>"
}
member {
name: "function_captures"
mtype: "<class \'property\'>"
}
member {
name: "graph_def_versions"
mtype: "<class \'property\'>"
}
member {
name: "internal_captures"
mtype: "<class \'property\'>"
}
member {
name: "operations"
mtype: "<class \'property\'>"
}
member {
name: "outer_graph"
mtype: "<class \'property\'>"
}
member {
name: "output_shapes"
mtype: "<class \'property\'>"
}
member {
name: "output_types"
mtype: "<class \'property\'>"
}
member {
name: "saveable"
mtype: "<class \'property\'>"
}
member {
name: "saving_errors"
mtype: "<class \'property\'>"
}
member {
name: "seed"
mtype: "<class \'property\'>"
}
member {
name: "trainable_variables"
mtype: "<class \'property\'>"
}
member {
name: "variable_captures"
mtype: "<class \'property\'>"
}
member {
name: "variables"
mtype: "<class \'property\'>"
}
member {
name: "version"
mtype: "<class \'property\'>"
}
member_method {
name: "Dismantle"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'name\', \'collections\', \'capture_by_value\', \'structured_input_signature\', \'structured_outputs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "add_capture"
argspec: "args=[\'self\', \'tensor\', \'placeholder\'], 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: "capture"
argspec: "args=[\'self\', \'tensor\', \'name\', \'shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "capture_call_time_value"
argspec: "args=[\'self\', \'closure\', \'spec\', \'key\', \'default_value\', \'placeholder\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
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: "mark_as_unsaveable"
argspec: "args=[\'self\', \'error_message\'], 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: "replace_capture"
argspec: "args=[\'self\', \'tensor\', \'placeholder\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "replace_capture_with_deferred_capture"
argspec: "args=[\'self\', \'tensor\', \'closure\', \'spec\', \'placeholder\', \'default_value\'], 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\'], "
}
member_method {
name: "watch_variable"
argspec: "args=[\'self\', \'v\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.-symbolic-tensor.pbtxt
+72
View File
@@ -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/v2/tensorflow.__internal__.autograph.pbtxt
+11
View File
@@ -0,0 +1,11 @@
path: "tensorflow.__internal__.autograph"
tf_module {
member_method {
name: "control_status_ctx"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "tf_convert"
argspec: "args=[\'f\', \'ctx\', \'convert_by_default\', \'user_requested\'], varargs=None, keywords=None, defaults=[\'True\', \'False\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.decorator.pbtxt
+11
View File
@@ -0,0 +1,11 @@
path: "tensorflow.__internal__.decorator"
tf_module {
member_method {
name: "make_decorator"
argspec: "args=[\'target\', \'decorator_func\', \'decorator_name\', \'decorator_doc\', \'decorator_argspec\'], varargs=None, keywords=None, defaults=[\'None\', \'\', \'None\'], "
}
member_method {
name: "unwrap"
argspec: "args=[\'maybe_tf_decorator\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.dispatch.-global-op-dispatcher.pbtxt
+20
View File
@@ -0,0 +1,20 @@
path: "tensorflow.__internal__.dispatch.GlobalOpDispatcher"
tf_class {
is_instance: "<class \'tensorflow.python.util.dispatch.GlobalOpDispatcher\'>"
is_instance: "<class \'object\'>"
member {
name: "NOT_SUPPORTED"
mtype: "<class \'object\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "handle"
argspec: "args=[\'self\', \'op\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.dispatch.-op-dispatcher.pbtxt
+20
View File
@@ -0,0 +1,20 @@
path: "tensorflow.__internal__.dispatch.OpDispatcher"
tf_class {
is_instance: "<class \'tensorflow.python.util.dispatch.OpDispatcher\'>"
is_instance: "<class \'object\'>"
member {
name: "NOT_SUPPORTED"
mtype: "<class \'object\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "handle"
argspec: "args=[\'self\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register"
argspec: "args=[\'self\', \'op\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.dispatch.pbtxt
+15
View File
@@ -0,0 +1,15 @@
path: "tensorflow.__internal__.dispatch"
tf_module {
member {
name: "GlobalOpDispatcher"
mtype: "<class \'type\'>"
}
member {
name: "OpDispatcher"
mtype: "<class \'type\'>"
}
member_method {
name: "add_dispatch_support"
argspec: "args=[\'target\', \'iterable_parameters\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.-sharded-variable.pbtxt
+84
View File
@@ -0,0 +1,84 @@
path: "tensorflow.__internal__.distribute.ShardedVariable"
tf_class {
is_instance: "<class \'tensorflow.python.distribute.sharded_variable.ShardedVariable\'>"
is_instance: "<class \'tensorflow.python.distribute.sharded_variable.ShardedVariableMixin\'>"
is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
is_instance: "<class \'tensorflow.python.framework.composite_tensor.CompositeTensor\'>"
is_instance: "<class \'object\'>"
member {
name: "dtype"
mtype: "<class \'property\'>"
}
member {
name: "is_sharded_variable"
mtype: "<class \'property\'>"
}
member {
name: "name"
mtype: "<class \'property\'>"
}
member {
name: "shape"
mtype: "<class \'property\'>"
}
member {
name: "variables"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'variables\', \'name\'], varargs=None, keywords=None, defaults=[\'ShardedVariable\'], "
}
member_method {
name: "assign"
argspec: "args=[\'self\', \'value\', \'use_locking\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'None\', \'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: "numpy"
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_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: "sparse_read"
argspec: "args=[\'self\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.combinations.pbtxt
+115
View File
@@ -0,0 +1,115 @@
path: "tensorflow.__internal__.distribute.combinations"
tf_module {
member {
name: "central_storage_strategy_with_gpu_and_cpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "central_storage_strategy_with_two_gpus"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "cloud_tpu_strategy"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "default_strategy"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_cpu_1_and_2"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_gpu_and_cpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_one_cpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_one_gpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_two_cpus"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_two_gpus"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "mirrored_strategy_with_two_gpus_no_merge_call"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "multi_worker_mirrored_2x1_cpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "multi_worker_mirrored_2x1_gpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "multi_worker_mirrored_2x1_gpu_noshare"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "multi_worker_mirrored_2x2_gpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "multi_worker_mirrored_2x2_gpu_no_merge_call"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "one_device_strategy"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "one_device_strategy_gpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "parameter_server_strategy_1worker_2ps_1gpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "parameter_server_strategy_1worker_2ps_cpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "parameter_server_strategy_3worker_2ps_1gpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "parameter_server_strategy_3worker_2ps_cpu"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "tpu_strategy"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "tpu_strategy_one_core"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member {
name: "tpu_strategy_packed_var"
mtype: "<class \'tensorflow.python.distribute.combinations.NamedDistribution\'>"
}
member_method {
name: "env"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "generate"
argspec: "args=[\'combinations\', \'test_combinations\'], varargs=None, keywords=None, defaults=[\'()\'], "
}
member_method {
name: "in_main_process"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.interim.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.distribute.interim"
tf_module {
member_method {
name: "maybe_merge_call"
argspec: "args=[\'fn\', \'strategy\'], varargs=args, keywords=kwargs, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.multi_process_runner.-not-initialized-error.pbtxt
+5
View File
@@ -0,0 +1,5 @@
path: "tensorflow.__internal__.distribute.multi_process_runner.NotInitializedError"
tf_class {
is_instance: "<class \'tensorflow.python.distribute.multi_process_runner.NotInitializedError\'>"
is_instance: "<class \'RuntimeError\'>"
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.multi_process_runner.-subprocess-timeout-error.pbtxt
+9
View File
@@ -0,0 +1,9 @@
path: "tensorflow.__internal__.distribute.multi_process_runner.SubprocessTimeoutError"
tf_class {
is_instance: "<class \'tensorflow.python.distribute.multi_process_runner.SubprocessTimeoutError\'>"
is_instance: "<class \'RuntimeError\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'msg\', \'mpr_result\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.multi_process_runner.-unexpected-subprocess-exit-error.pbtxt
+9
View File
@@ -0,0 +1,9 @@
path: "tensorflow.__internal__.distribute.multi_process_runner.UnexpectedSubprocessExitError"
tf_class {
is_instance: "<class \'tensorflow.python.distribute.multi_process_runner.UnexpectedSubprocessExitError\'>"
is_instance: "<class \'RuntimeError\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'msg\', \'mpr_result\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.multi_process_runner.pbtxt
+31
View File
@@ -0,0 +1,31 @@
path: "tensorflow.__internal__.distribute.multi_process_runner"
tf_module {
member {
name: "NotInitializedError"
mtype: "<class \'type\'>"
}
member {
name: "SubprocessTimeoutError"
mtype: "<class \'type\'>"
}
member {
name: "UnexpectedSubprocessExitError"
mtype: "<class \'type\'>"
}
member_method {
name: "create_cluster_spec"
argspec: "args=[\'has_chief\', \'num_workers\', \'num_ps\', \'has_eval\'], varargs=None, keywords=None, defaults=[\'False\', \'1\', \'0\', \'False\'], "
}
member_method {
name: "get_barrier"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "run"
argspec: "args=[\'fn\', \'cluster_spec\', \'rpc_layer\', \'max_run_time\', \'return_output\', \'timeout\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'200\', \'None\', \'None\'], "
}
member_method {
name: "test_main"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.distribute.pbtxt
+27
View File
@@ -0,0 +1,27 @@
path: "tensorflow.__internal__.distribute"
tf_module {
member {
name: "ShardedVariable"
mtype: "<class \'abc.ABCMeta\'>"
}
member {
name: "combinations"
mtype: "<class \'module\'>"
}
member {
name: "interim"
mtype: "<class \'module\'>"
}
member {
name: "multi_process_runner"
mtype: "<class \'module\'>"
}
member_method {
name: "strategy_supports_no_merge_call"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "variable_sync_on_read_context"
argspec: "args=[], varargs=args, keywords=kwds, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.eager_context.pbtxt
+23
View File
@@ -0,0 +1,23 @@
path: "tensorflow.__internal__.eager_context"
tf_module {
member_method {
name: "eager_mode"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_config"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_device_name"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_executor"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "set_soft_device_placement"
argspec: "args=[\'enabled\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.-dense-column.pbtxt
+45
View File
@@ -0,0 +1,45 @@
path: "tensorflow.__internal__.feature_column.DenseColumn"
tf_class {
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2.DenseColumn\'>"
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2_types.FeatureColumn\'>"
is_instance: "<class \'object\'>"
member {
name: "name"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "parents"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "parse_example_spec"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "variable_shape"
mtype: "<class \'abc.abstractproperty\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "create_state"
argspec: "args=[\'self\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "from_config"
argspec: "args=[\'cls\', \'config\', \'custom_objects\', \'columns_by_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "get_config"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_dense_tensor"
argspec: "args=[\'self\', \'transformation_cache\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "transform_feature"
argspec: "args=[\'self\', \'transformation_cache\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.-feature-column.pbtxt
+36
View File
@@ -0,0 +1,36 @@
path: "tensorflow.__internal__.feature_column.FeatureColumn"
tf_class {
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2_types.FeatureColumn\'>"
is_instance: "<class \'object\'>"
member {
name: "name"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "parents"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "parse_example_spec"
mtype: "<class \'abc.abstractproperty\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "create_state"
argspec: "args=[\'self\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "from_config"
argspec: "args=[\'cls\', \'config\', \'custom_objects\', \'columns_by_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "get_config"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "transform_feature"
argspec: "args=[\'self\', \'transformation_cache\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.-feature-transformation-cache.pbtxt
+13
View File
@@ -0,0 +1,13 @@
path: "tensorflow.__internal__.feature_column.FeatureTransformationCache"
tf_class {
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2.FeatureTransformationCache\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'features\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get"
argspec: "args=[\'self\', \'key\', \'state_manager\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.-sequence-dense-column.-tensor-sequence-length-pair.pbtxt
+26
View File
@@ -0,0 +1,26 @@
path: "tensorflow.__internal__.feature_column.SequenceDenseColumn.TensorSequenceLengthPair"
tf_class {
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2.TensorSequenceLengthPair\'>"
is_instance: "<class \'tuple\'>"
member {
name: "dense_tensor"
mtype: "<class \'collections._tuplegetter\'>"
}
member {
name: "sequence_length"
mtype: "<class \'collections._tuplegetter\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "__new__"
argspec: "args=[\'_cls\', \'dense_tensor\', \'sequence_length\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "count"
}
member_method {
name: "index"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.-sequence-dense-column.pbtxt
+45
View File
@@ -0,0 +1,45 @@
path: "tensorflow.__internal__.feature_column.SequenceDenseColumn"
tf_class {
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2.SequenceDenseColumn\'>"
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2_types.FeatureColumn\'>"
is_instance: "<class \'object\'>"
member {
name: "TensorSequenceLengthPair"
mtype: "<class \'type\'>"
}
member {
name: "name"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "parents"
mtype: "<class \'abc.abstractproperty\'>"
}
member {
name: "parse_example_spec"
mtype: "<class \'abc.abstractproperty\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "create_state"
argspec: "args=[\'self\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "from_config"
argspec: "args=[\'cls\', \'config\', \'custom_objects\', \'columns_by_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "get_config"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_sequence_dense_tensor"
argspec: "args=[\'self\', \'transformation_cache\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "transform_feature"
argspec: "args=[\'self\', \'transformation_cache\', \'state_manager\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.-state-manager.pbtxt
+34
View File
@@ -0,0 +1,34 @@
path: "tensorflow.__internal__.feature_column.StateManager"
tf_class {
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2._StateManagerImpl\'>"
is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2.StateManager\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'layer\', \'trainable\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "add_resource"
argspec: "args=[\'self\', \'feature_column\', \'resource_name\', \'resource\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "add_variable"
argspec: "args=[\'self\', \'feature_column\', \'var\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "create_variable"
argspec: "args=[\'self\', \'feature_column\', \'name\', \'shape\', \'dtype\', \'trainable\', \'use_resource\', \'initializer\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'True\', \'None\'], "
}
member_method {
name: "get_resource"
argspec: "args=[\'self\', \'feature_column\', \'resource_name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_variable"
argspec: "args=[\'self\', \'feature_column\', \'name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "has_resource"
argspec: "args=[\'self\', \'feature_column\', \'resource_name\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.feature_column.pbtxt
+31
View File
@@ -0,0 +1,31 @@
path: "tensorflow.__internal__.feature_column"
tf_module {
member {
name: "DenseColumn"
mtype: "<class \'abc.ABCMeta\'>"
}
member {
name: "FeatureColumn"
mtype: "<class \'abc.ABCMeta\'>"
}
member {
name: "FeatureTransformationCache"
mtype: "<class \'type\'>"
}
member {
name: "SequenceDenseColumn"
mtype: "<class \'abc.ABCMeta\'>"
}
member {
name: "StateManager"
mtype: "<class \'type\'>"
}
member_method {
name: "deserialize_feature_column"
argspec: "args=[\'config\', \'custom_objects\', \'columns_by_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "serialize_feature_column"
argspec: "args=[\'fc\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.function.-function.pbtxt
+52
View File
@@ -0,0 +1,52 @@
path: "tensorflow.__internal__.function.Function"
tf_class {
is_instance: "<class \'tensorflow.python.eager.polymorphic_function.polymorphic_function.Function\'>"
is_instance: "<class \'tensorflow.python.types.core.PolymorphicFunction\'>"
is_instance: "<class \'tensorflow.python.types.core.Callable\'>"
is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
is_instance: "<class \'object\'>"
member {
name: "function_spec"
mtype: "<class \'property\'>"
}
member {
name: "function_type"
mtype: "<class \'property\'>"
}
member {
name: "input_signature"
mtype: "<class \'property\'>"
}
member {
name: "name"
mtype: "<class \'property\'>"
}
member {
name: "python_function"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'python_function\', \'name\', \'input_signature\', \'autograph\', \'jit_compile\', \'reduce_retracing\', \'experimental_implements\', \'experimental_autograph_options\', \'experimental_attributes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'False\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "experimental_get_compiler_ir"
argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
}
member_method {
name: "experimental_get_tracing_count"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_concrete_function"
argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
}
member_method {
name: "get_initialization_function"
argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
}
member_method {
name: "pretty_printed_concrete_signatures"
argspec: "args=[\'self\', \'verbose\'], varargs=None, keywords=None, defaults=[\'True\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.function.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.function"
tf_module {
member {
name: "Function"
mtype: "<class \'abc.ABCMeta\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.graph_util.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.graph_util"
tf_module {
member_method {
name: "graph_defs_equal"
argspec: "args=[\'graph_def_1\', \'graph_def_2\', \'treat_nan_as_equal\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.mixed_precision.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.mixed_precision"
tf_module {
member_method {
name: "register_loss_scale_wrapper"
argspec: "args=[\'optimizer_cls\', \'wrapper_fn\', \'wrapper_cls\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.monitoring.-bool-gauge.pbtxt
+14
View File
@@ -0,0 +1,14 @@
path: "tensorflow.__internal__.monitoring.BoolGauge"
tf_class {
is_instance: "<class \'tensorflow.python.eager.monitoring.BoolGauge\'>"
is_instance: "<class \'tensorflow.python.eager.monitoring.Metric\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'name\', \'description\'], varargs=labels, keywords=None, defaults=None"
}
member_method {
name: "get_cell"
argspec: "args=[\'self\'], varargs=labels, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.monitoring.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.monitoring"
tf_module {
member {
name: "BoolGauge"
mtype: "<class \'type\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.nest.pbtxt
+35
View File
@@ -0,0 +1,35 @@
path: "tensorflow.__internal__.nest"
tf_module {
member_method {
name: "flatten_up_to"
argspec: "args=[\'shallow_tree\', \'input_tree\', \'check_types\', \'expand_composites\'], varargs=None, keywords=None, defaults=[\'True\', \'False\'], "
}
member_method {
name: "get_traverse_shallow_structure"
argspec: "args=[\'traverse_fn\', \'structure\', \'expand_composites\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "is_attrs"
argspec: "args=[\'obj\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "is_mapping"
argspec: "args=[\'obj\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "list_to_tuple"
argspec: "args=[\'structure\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "map_structure_up_to"
argspec: "args=[\'shallow_tree\', \'func\'], varargs=inputs, keywords=kwargs, defaults=None"
}
member_method {
name: "sequence_like"
argspec: "args=[\'instance\', \'args\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "yield_flat_paths"
argspec: "args=[\'nest\', \'expand_composites\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.ops.pbtxt
+15
View File
@@ -0,0 +1,15 @@
path: "tensorflow.__internal__.ops"
tf_module {
member_method {
name: "broadcast_weights"
argspec: "args=[\'weights\', \'values\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_resource_handle_data"
argspec: "args=[\'graph_op\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "is_resource_variable"
argspec: "args=[\'var\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.pbtxt
+143
View File
@@ -0,0 +1,143 @@
path: "tensorflow.__internal__"
tf_module {
member {
name: "CompositeTensor"
mtype: "<class \'abc.ABCMeta\'>"
}
member {
name: "EagerTensor"
mtype: "<class \'type\'>"
}
member {
name: "FuncGraph"
mtype: "<class \'type\'>"
}
member {
name: "SymbolicTensor"
mtype: "<class \'type\'>"
}
member {
name: "autograph"
mtype: "<class \'module\'>"
}
member {
name: "decorator"
mtype: "<class \'module\'>"
}
member {
name: "dispatch"
mtype: "<class \'module\'>"
}
member {
name: "distribute"
mtype: "<class \'module\'>"
}
member {
name: "eager_context"
mtype: "<class \'module\'>"
}
member {
name: "feature_column"
mtype: "<class \'module\'>"
}
member {
name: "function"
mtype: "<class \'module\'>"
}
member {
name: "graph_util"
mtype: "<class \'module\'>"
}
member {
name: "mixed_precision"
mtype: "<class \'module\'>"
}
member {
name: "monitoring"
mtype: "<class \'module\'>"
}
member {
name: "nest"
mtype: "<class \'module\'>"
}
member {
name: "ops"
mtype: "<class \'module\'>"
}
member {
name: "saved_model"
mtype: "<class \'module\'>"
}
member {
name: "smart_cond"
mtype: "<class \'module\'>"
}
member {
name: "test"
mtype: "<class \'module\'>"
}
member {
name: "tf2"
mtype: "<class \'module\'>"
}
member {
name: "tracking"
mtype: "<class \'module\'>"
}
member {
name: "train"
mtype: "<class \'module\'>"
}
member {
name: "types"
mtype: "<class \'module\'>"
}
member_method {
name: "create_c_op"
argspec: "args=[\'graph\', \'node_def\', \'inputs\', \'control_inputs\', \'op_def\', \'extract_traceback\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
}
member_method {
name: "execute_fn_for_device"
argspec: "args=[\'device_branch_fns\', \'default_fn\', \'name\'], varargs=None, keywords=None, defaults=[\'execute_fn\'], "
}
member_method {
name: "get_enclosing_xla_context"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_name_scope"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "is_tfrt_enabled"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "lift_to_graph"
argspec: "args=[\'tensors\', \'graph\', \'sources\', \'disallowed_placeholders\', \'add_sources\', \'handle_captures\', \'base_graph\', \'op_map\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
}
member_method {
name: "load_context"
argspec: "args=[], varargs=args, keywords=kwds, defaults=None"
}
member_method {
name: "record_gradient"
argspec: "args=[\'op_name\', \'inputs\', \'attrs\', \'outputs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_call_context_function"
argspec: "args=[\'func\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_clear_session_function"
argspec: "args=[\'func\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_get_session_function"
argspec: "args=[\'func\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_load_model_function"
argspec: "args=[\'func\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.saved_model.-saved-model-builder.pbtxt
+21
View File
@@ -0,0 +1,21 @@
path: "tensorflow.__internal__.saved_model.SavedModelBuilder"
tf_class {
is_instance: "<class \'tensorflow.python.saved_model.builder_impl._SavedModelBuilder\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'export_dir\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "add_meta_graph"
argspec: "args=[\'self\', \'tags\', \'signature_def_map\', \'assets_list\', \'clear_devices\', \'init_op\', \'train_op\', \'saver\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "add_meta_graph_and_variables"
argspec: "args=[\'self\', \'sess\', \'tags\', \'signature_def_map\', \'assets_list\', \'clear_devices\', \'init_op\', \'train_op\', \'strip_default_attrs\', \'saver\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'None\', \'False\', \'None\'], "
}
member_method {
name: "save"
argspec: "args=[\'self\', \'as_text\', \'experimental_image_format\', \'experimental_image_writer_options\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.saved_model.load.-versioned-type-registration.pbtxt
+21
View File
@@ -0,0 +1,21 @@
path: "tensorflow.__internal__.saved_model.load.VersionedTypeRegistration"
tf_class {
is_instance: "<class \'tensorflow.python.saved_model.revived_types.VersionedTypeRegistration\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'object_factory\', \'version\', \'min_producer_version\', \'min_consumer_version\', \'bad_consumers\', \'setter\'], varargs=None, keywords=None, defaults=[\'None\', \'<built-in function setattr>\'], "
}
member_method {
name: "from_proto"
argspec: "args=[\'self\', \'proto\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "should_load"
argspec: "args=[\'self\', \'proto\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "to_proto"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.saved_model.load.pbtxt
+19
View File
@@ -0,0 +1,19 @@
path: "tensorflow.__internal__.saved_model.load"
tf_module {
member {
name: "VersionedTypeRegistration"
mtype: "<class \'type\'>"
}
member_method {
name: "get_setter"
argspec: "args=[\'proto\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_revived_type"
argspec: "args=[\'identifier\', \'predicate\', \'versions\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "registered_identifiers"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.saved_model.pbtxt
+27
View File
@@ -0,0 +1,27 @@
path: "tensorflow.__internal__.saved_model"
tf_module {
member {
name: "SavedModelBuilder"
mtype: "<class \'type\'>"
}
member {
name: "load"
mtype: "<class \'module\'>"
}
member_method {
name: "decode_proto"
argspec: "args=[\'proto\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "encode_structure"
argspec: "args=[\'nested_structure\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "load_partial"
argspec: "args=[\'export_dir\', \'filters\', \'tags\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "parse_saved_model"
argspec: "args=[\'export_dir\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.smart_cond.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.smart_cond"
tf_module {
member_method {
name: "smart_cond"
argspec: "args=[\'pred\', \'true_fn\', \'false_fn\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.-parameterized-benchmark.pbtxt
+12
View File
@@ -0,0 +1,12 @@
path: "tensorflow.__internal__.test.ParameterizedBenchmark"
tf_class {
is_instance: "<class \'tensorflow.python.platform.benchmark.ParameterizedBenchmark\'>"
is_instance: "<class \'tensorflow.python.platform.benchmark._BenchmarkRegistrar\'>"
is_instance: "<class \'type\'>"
member_method {
name: "__init__"
}
member_method {
name: "mro"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.combinations.-named-object.pbtxt
+9
View File
@@ -0,0 +1,9 @@
path: "tensorflow.__internal__.test.combinations.NamedObject"
tf_class {
is_instance: "<class \'tensorflow.python.framework.test_combinations.NamedObject\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'name\', \'obj\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.combinations.-optional-parameter.pbtxt
+18
View File
@@ -0,0 +1,18 @@
path: "tensorflow.__internal__.test.combinations.OptionalParameter"
tf_class {
is_instance: "<class \'tensorflow.python.framework.test_combinations.OptionalParameter\'>"
is_instance: "<class \'tensorflow.python.framework.test_combinations.ParameterModifier\'>"
is_instance: "<class \'object\'>"
member {
name: "DO_NOT_PASS_TO_THE_TEST"
mtype: "<class \'object\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'parameter_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "modified_arguments"
argspec: "args=[\'self\', \'kwargs\', \'requested_parameters\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.combinations.-parameter-modifier.pbtxt
+17
View File
@@ -0,0 +1,17 @@
path: "tensorflow.__internal__.test.combinations.ParameterModifier"
tf_class {
is_instance: "<class \'tensorflow.python.framework.test_combinations.ParameterModifier\'>"
is_instance: "<class \'object\'>"
member {
name: "DO_NOT_PASS_TO_THE_TEST"
mtype: "<class \'object\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'parameter_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "modified_arguments"
argspec: "args=[\'self\', \'kwargs\', \'requested_parameters\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.combinations.-test-combination.pbtxt
+20
View File
@@ -0,0 +1,20 @@
path: "tensorflow.__internal__.test.combinations.TestCombination"
tf_class {
is_instance: "<class \'tensorflow.python.framework.test_combinations.TestCombination\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
}
member_method {
name: "context_managers"
argspec: "args=[\'self\', \'kwargs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "parameter_modifiers"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "should_execute_combination"
argspec: "args=[\'self\', \'kwargs\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.combinations.pbtxt
+31
View File
@@ -0,0 +1,31 @@
path: "tensorflow.__internal__.test.combinations"
tf_module {
member {
name: "NamedObject"
mtype: "<class \'type\'>"
}
member {
name: "OptionalParameter"
mtype: "<class \'type\'>"
}
member {
name: "ParameterModifier"
mtype: "<class \'type\'>"
}
member {
name: "TestCombination"
mtype: "<class \'type\'>"
}
member {
name: "generate"
mtype: "<class \'functools.partial\'>"
}
member_method {
name: "combine"
argspec: "args=[], varargs=None, keywords=kwargs, defaults=None"
}
member_method {
name: "times"
argspec: "args=[], varargs=combined, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.test.pbtxt
+11
View File
@@ -0,0 +1,11 @@
path: "tensorflow.__internal__.test"
tf_module {
member {
name: "ParameterizedBenchmark"
mtype: "<class \'type\'>"
}
member {
name: "combinations"
mtype: "<class \'module\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tf2.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.tf2"
tf_module {
member_method {
name: "enabled"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-auto-trackable.pbtxt
+9
View File
@@ -0,0 +1,9 @@
path: "tensorflow.__internal__.tracking.AutoTrackable"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.autotrackable.AutoTrackable\'>"
is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-checkpoint-initial-value-callable.pbtxt
+17
View File
@@ -0,0 +1,17 @@
path: "tensorflow.__internal__.tracking.CheckpointInitialValueCallable"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.base.CheckpointInitialValueCallable\'>"
is_instance: "<class \'object\'>"
member {
name: "checkpoint_position"
mtype: "<class \'property\'>"
}
member {
name: "restore_uid"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'checkpoint_position\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-checkpoint-initial-value.pbtxt
+13
View File
@@ -0,0 +1,13 @@
path: "tensorflow.__internal__.tracking.CheckpointInitialValue"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.base.CheckpointInitialValue\'>"
is_instance: "<class \'object\'>"
member {
name: "checkpoint_position"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'checkpoint_position\', \'shape\', \'shard_info\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-delegating-trackable-mixin.pbtxt
+9
View File
@@ -0,0 +1,9 @@
path: "tensorflow.__internal__.tracking.DelegatingTrackableMixin"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.base_delegate.DelegatingTrackableMixin\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'trackable_obj\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-object-graph-view.pbtxt
+42
View File
@@ -0,0 +1,42 @@
path: "tensorflow.__internal__.tracking.ObjectGraphView"
tf_class {
is_instance: "<class \'tensorflow.python.checkpoint.graph_view.ObjectGraphView\'>"
is_instance: "<class \'tensorflow.python.checkpoint.trackable_view.TrackableView\'>"
is_instance: "<class \'object\'>"
member {
name: "attached_dependencies"
mtype: "<class \'property\'>"
}
member {
name: "root"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'root\', \'attached_dependencies\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "breadth_first_traversal"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "children"
argspec: "args=[\'self\', \'obj\', \'save_type\'], varargs=None, keywords=kwargs, defaults=[\'SaveType.CHECKPOINT\'], "
}
member_method {
name: "descendants"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "frozen_saveable_objects"
argspec: "args=[\'self\', \'object_map\', \'to_graph\', \'call_with_mapped_captures\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "list_children"
argspec: "args=[\'self\', \'obj\', \'save_type\'], varargs=None, keywords=kwargs, defaults=[\'SaveType.CHECKPOINT\'], "
}
member_method {
name: "serialize_object_graph"
argspec: "args=[\'self\', \'saveables_cache\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-trackable-data-structure.pbtxt
+50
View File
@@ -0,0 +1,50 @@
path: "tensorflow.__internal__.tracking.TrackableDataStructure"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.data_structures.TrackableDataStructure\'>"
is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
is_instance: "<class \'object\'>"
member {
name: "layers"
mtype: "<class \'property\'>"
}
member {
name: "losses"
mtype: "<class \'property\'>"
}
member {
name: "non_trainable_variables"
mtype: "<class \'property\'>"
}
member {
name: "non_trainable_weights"
mtype: "<class \'property\'>"
}
member {
name: "trainable"
mtype: "<class \'property\'>"
}
member {
name: "trainable_variables"
mtype: "<class \'property\'>"
}
member {
name: "trainable_weights"
mtype: "<class \'property\'>"
}
member {
name: "updates"
mtype: "<class \'property\'>"
}
member {
name: "variables"
mtype: "<class \'property\'>"
}
member {
name: "weights"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-trackable-reference.pbtxt
+17
View File
@@ -0,0 +1,17 @@
path: "tensorflow.__internal__.tracking.TrackableReference"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.base.TrackableReference\'>"
is_instance: "<class \'object\'>"
member {
name: "name"
mtype: "<class \'property\'>"
}
member {
name: "ref"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'name\', \'ref\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.-trackable.pbtxt
+8
View File
@@ -0,0 +1,8 @@
path: "tensorflow.__internal__.tracking.Trackable"
tf_class {
is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.tracking.pbtxt
+59
View File
@@ -0,0 +1,59 @@
path: "tensorflow.__internal__.tracking"
tf_module {
member {
name: "AutoTrackable"
mtype: "<class \'type\'>"
}
member {
name: "CheckpointInitialValue"
mtype: "<class \'type\'>"
}
member {
name: "CheckpointInitialValueCallable"
mtype: "<class \'type\'>"
}
member {
name: "DelegatingTrackableMixin"
mtype: "<class \'type\'>"
}
member {
name: "ObjectGraphView"
mtype: "<class \'type\'>"
}
member {
name: "Trackable"
mtype: "<class \'type\'>"
}
member {
name: "TrackableDataStructure"
mtype: "<class \'type\'>"
}
member {
name: "TrackableReference"
mtype: "<class \'type\'>"
}
member_method {
name: "no_automatic_dependency_tracking"
argspec: "args=[\'method\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_session_provider"
argspec: "args=[\'session_provider\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "saveable_objects_from_trackable"
argspec: "args=[\'obj\', \'tf1_saver\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "sticky_attribute_assignment"
argspec: "args=[\'trackable\', \'name\', \'value\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "streaming_restore"
argspec: "args=[\'status\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "wrap"
argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.train.pbtxt
+19
View File
@@ -0,0 +1,19 @@
path: "tensorflow.__internal__.train"
tf_module {
member_method {
name: "assign_moving_average"
argspec: "args=[\'variable\', \'value\', \'decay\', \'zero_debias\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
}
member_method {
name: "is_mixed_precision_graph_rewrite_enabled"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "set_using_mixed_precision_policy"
argspec: "args=[\'is_using\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "update_checkpoint_state"
argspec: "args=[\'save_dir\', \'model_checkpoint_path\', \'all_model_checkpoint_paths\', \'latest_filename\', \'save_relative_paths\', \'all_model_checkpoint_timestamps\', \'last_preserved_timestamp\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.types.-tensor.pbtxt
+16
View File
@@ -0,0 +1,16 @@
path: "tensorflow.__internal__.types.Tensor"
tf_class {
is_instance: "<class \'tensorflow.python.types.core.Tensor\'>"
is_instance: "<class \'object\'>"
member {
name: "dtype"
mtype: "<class \'property\'>"
}
member {
name: "shape"
mtype: "<class \'property\'>"
}
member_method {
name: "__init__"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.types.data.-dataset.pbtxt
+8
View File
@@ -0,0 +1,8 @@
path: "tensorflow.__internal__.types.data.Dataset"
tf_class {
is_instance: "<class \'tensorflow.python.types.data.DatasetV2\'>"
is_instance: "<class \'abc.ABC\'>"
member_method {
name: "__init__"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.types.data.pbtxt
+7
View File
@@ -0,0 +1,7 @@
path: "tensorflow.__internal__.types.data"
tf_module {
member {
name: "Dataset"
mtype: "<class \'abc.ABCMeta\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__internal__.types.pbtxt
+11
View File
@@ -0,0 +1,11 @@
path: "tensorflow.__internal__.types"
tf_module {
member {
name: "Tensor"
mtype: "<class \'type\'>"
}
member {
name: "data"
mtype: "<class \'module\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.__operators__.pbtxt
+23
View File
@@ -0,0 +1,23 @@
path: "tensorflow.__operators__"
tf_module {
member_method {
name: "add"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "eq"
argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "getitem"
argspec: "args=[\'tensor\', \'slice_spec\', \'var\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "ne"
argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "ragged_getitem"
argspec: "args=[\'rt_input\', \'key\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.audio.pbtxt
+11
View File
@@ -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/v2/tensorflow.autodiff.-forward-accumulator.pbtxt
+13
View File
@@ -0,0 +1,13 @@
path: "tensorflow.autodiff.ForwardAccumulator"
tf_class {
is_instance: "<class \'tensorflow.python.eager.forwardprop.ForwardAccumulator\'>"
is_instance: "<class \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'primals\', \'tangents\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "jvp"
argspec: "args=[\'self\', \'primals\', \'unconnected_gradients\'], varargs=None, keywords=None, defaults=[\'UnconnectedGradients.NONE\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.autodiff.-gradient-tape.pbtxt
+37
View File
@@ -0,0 +1,37 @@
path: "tensorflow.autodiff.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/v2/tensorflow.autodiff.pbtxt
+11
View File
@@ -0,0 +1,11 @@
path: "tensorflow.autodiff"
tf_module {
member {
name: "ForwardAccumulator"
mtype: "<class \'type\'>"
}
member {
name: "GradientTape"
mtype: "<class \'type\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.autograph.experimental.-feature.pbtxt
+32
View File
@@ -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\'>"
}
}
tensorflow/tools/api/golden/v2/tensorflow.autograph.experimental.pbtxt
+15
View File
@@ -0,0 +1,15 @@
path: "tensorflow.autograph.experimental"
tf_module {
member {
name: "Feature"
mtype: "<class \'enum.EnumType\'>"
}
member_method {
name: "do_not_convert"
argspec: "args=[\'func\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "set_loop_options"
argspec: "args=[\'parallel_iterations\', \'swap_memory\', \'maximum_iterations\', \'shape_invariants\'], varargs=None, keywords=None, defaults=[\'<object object instance>\', \'<object object instance>\', \'<object object instance>\', \'<object object instance>\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.autograph.pbtxt
+23
View File
@@ -0,0 +1,23 @@
path: "tensorflow.autograph"
tf_module {
member {
name: "experimental"
mtype: "<class \'module\'>"
}
member_method {
name: "set_verbosity"
argspec: "args=[\'level\', \'alsologtostdout\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "to_code"
argspec: "args=[\'entity\', \'recursive\', \'experimental_optional_features\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
}
member_method {
name: "to_graph"
argspec: "args=[\'entity\', \'recursive\', \'experimental_optional_features\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
}
member_method {
name: "trace"
argspec: "args=[], varargs=args, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt
+27
View File
@@ -0,0 +1,27 @@
path: "tensorflow.bitwise"
tf_module {
member_method {
name: "bitwise_and"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "bitwise_or"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "bitwise_xor"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "invert"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "left_shift"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "right_shift"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt
+55
View File
@@ -0,0 +1,55 @@
path: "tensorflow.compat"
tf_module {
member {
name: "bytes_or_text_types"
mtype: "<class \'tuple\'>"
}
member {
name: "complex_types"
mtype: "<class \'tuple\'>"
}
member {
name: "integral_types"
mtype: "<class \'tuple\'>"
}
member {
name: "real_types"
mtype: "<class \'tuple\'>"
}
member_method {
name: "as_bytes"
argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
}
member_method {
name: "as_str"
argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
}
member_method {
name: "as_str_any"
argspec: "args=[\'value\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
}
member_method {
name: "as_text"
argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
}
member_method {
name: "dimension_at_index"
argspec: "args=[\'shape\', \'index\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "dimension_value"
argspec: "args=[\'dimension\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "forward_compatibility_horizon"
argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "forward_compatible"
argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "path_to_str"
argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None"
}
}
tensorflow/tools/api/golden/v2/tensorflow.config.-logical-device-configuration.pbtxt
+31
View File
@@ -0,0 +1,31 @@
path: "tensorflow.config.LogicalDeviceConfiguration"
tf_class {
is_instance: "<class \'tensorflow.python.eager.context.LogicalDeviceConfiguration\'>"
is_instance: "<class \'tensorflow.python.eager.context.LogicalDeviceConfiguration\'>"
is_instance: "<class \'tuple\'>"
member {
name: "experimental_device_ordinal"
mtype: "<class \'collections._tuplegetter\'>"
}
member {
name: "experimental_priority"
mtype: "<class \'collections._tuplegetter\'>"
}
member {
name: "memory_limit"
mtype: "<class \'collections._tuplegetter\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "__new__"
argspec: "args=[\'cls\', \'memory_limit\', \'experimental_priority\', \'experimental_device_ordinal\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "count"
}
member_method {
name: "index"
}
}

Some files were not shown because too many files have changed in this diff Show More