Module tract_tensorflow::tfpb::tensorflow

Modules

attr_value	Nested message and enum types in AttrValue.
collection_def	Nested message and enum types in CollectionDef.
meta_graph_def	Nested message and enum types in MetaGraphDef.
op_def	Nested message and enum types in OpDef.
saved_object	Nested message and enum types in SavedObject.
saver_def	Nested message and enum types in SaverDef.
structured_value	Nested message and enum types in StructuredValue.
tensor_info	Nested message and enum types in TensorInfo.
tensor_shape_proto	Nested message and enum types in TensorShapeProto.
trackable_object_graph	Nested message and enum types in TrackableObjectGraph.
type_spec_proto	Nested message and enum types in TypeSpecProto.

Structs

AssetFileDef	An asset file def for a single file or a set of sharded files with the same name.
AttrValue	Protocol buffer representing the value for an attr used to configure an Op. Comment indicates the corresponding attr type. Only the field matching the attr type may be filled.
CollectionDef	CollectionDef should cover most collections. To add a user-defined collection, do one of the following:
DictValue	Represents a Python dict keyed by str. The comment on Unicode from Value.string_value applies analogously.
FunctionDef	A function can be instantiated when the runtime can bind every attr with a value. When a GraphDef has a call to a function, it must have binding for every attr defined in the signature.
FunctionDefLibrary	A library is a set of named functions.
FunctionSpec	Represents FunctionSpec used in Function. This represents a function that has been wrapped as a TensorFlow Function.
GradientDef	GradientDef defines the gradient function of a function defined in a function library.
GraphDef	Represents the graph of operations
ListValue	Represents a Python list.
MetaGraphDef	NOTE: This protocol buffer is evolving, and will go through revisions in the coming months.
NameAttrList	A list of attr names and their values. The whole list is attached with a string name. E.g., MatMul[T=float].
NamedTupleValue	Represents Python’s namedtuple.
NodeDef
NoneValue	Represents None.
OpDef	Defines an operation. A NodeDef in a GraphDef specifies an Op by using the “op” field which should match the name of a OpDef. LINT.IfChange
OpDeprecation	Information about version-dependent deprecation of an op
OpList	A collection of OpDefs
PairValue	Represents a (key, value) pair.
ResourceHandleProto	Protocol buffer representing a handle to a tensorflow resource. Handles are not valid across executions, but can be serialized back and forth from within a single run.
SaveSliceInfoDef
SavedAsset	A SavedAsset points to an asset in the MetaGraph.
SavedBareConcreteFunction
SavedConcreteFunction	Stores low-level information about a concrete function. Referenced in either a SavedFunction or a SavedBareConcreteFunction.
SavedConstant
SavedFunction	A function with multiple signatures, possibly with non-Tensor arguments.
SavedModel	SavedModel is the high level serialization format for TensorFlow Models. See [todo: doc links, similar to session_bundle] for more information.
SavedObject
SavedObjectGraph
SavedResource	A SavedResource represents a TF object that holds state during its lifetime. An object of this type can have a reference to a: create_resource() and an initialize() function.
SavedUserObject	A SavedUserObject is an object (in the object-oriented language of the TensorFlow program) of some user- or framework-defined class other than those handled specifically by the other kinds of SavedObjects.
SavedVariable	Represents a Variable that is initialized by loading the contents from the checkpoint.
SaverDef	Protocol buffer representing the configuration of a Saver.
SignatureDef	SignatureDef defines the signature of a computation supported by a TensorFlow graph.
StructuredValue	StructuredValue represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs.
TensorInfo	Information about a Tensor necessary for feeding or retrieval.
TensorProto	Protocol buffer representing a tensor.
TensorShapeProto	Dimensions of a tensor.
TensorSpecProto	A protobuf to tf.TensorSpec.
TrackableObjectGraph
TupleValue	Represents a Python tuple.
TypeSpecProto	Represents a tf.TypeSpec
VariableDef	Protocol buffer representing a Variable.
VariantTensorDataProto	Protocol buffer representing the serialization format of DT_VARIANT tensors.
VersionDef	Version information for a piece of serialized data

Enums

DataType	LINT.IfChange
VariableAggregation	Indicates how a distributed variable will be aggregated.
VariableSynchronization	Indicates when a distributed variable will be synced.