Module tensorflow Copy item path Source 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. 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 DataType LINT.IfChange VariableAggregation Indicates how a distributed variable will be aggregated. VariableSynchronization Indicates when a distributed variable will be synced.