An asset file def for a single file or a set of sharded files with the same
name.
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 should cover most collections.
To add a user-defined collection, do one of the following:
Represents a Python dict keyed by str.
The comment on Unicode from Value.string_value applies analogously.
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.
A library is a set of named functions.
Represents FunctionSpec used in Function. This represents a
function that has been wrapped as a TensorFlow Function.
GradientDef defines the gradient function of a function defined in
a function library.
Represents the graph of operations
Represents a Python list.
NOTE: This protocol buffer is evolving, and will go through revisions in the
coming months.
A list of attr names and their values. The whole list is attached
with a string name. E.g., MatMul[T=float].
Represents Python’s namedtuple.
Represents None.
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
Information about version-dependent deprecation of an op
A collection of OpDefs
Represents a (key, value) pair.
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.
A SavedAsset points to an asset in the MetaGraph.
Stores low-level information about a concrete function. Referenced in either
a SavedFunction or a SavedBareConcreteFunction.
A function with multiple signatures, possibly with non-Tensor arguments.
SavedModel is the high level serialization format for TensorFlow Models.
See [todo: doc links, similar to session_bundle] for more information.
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.
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.
Represents a Variable that is initialized by loading the contents from the
checkpoint.
Protocol buffer representing the configuration of a Saver.
SignatureDef defines the signature of a computation supported by a TensorFlow
graph.
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.
Information about a Tensor necessary for feeding or retrieval.
Protocol buffer representing a tensor.
Dimensions of a tensor.
A protobuf to tf.TensorSpec.
Represents a Python tuple.
Represents a tf.TypeSpec
Protocol buffer representing a Variable.
Protocol buffer representing the serialization format of DT_VARIANT tensors.
Version information for a piece of serialized data