Module pb 

Modules

attribute_proto

Nested message and enum types in AttributeProto.

tensor_proto

Nested message and enum types in TensorProto.

tensor_shape_proto

Nested message and enum types in TensorShapeProto.

type_proto

Nested message and enum types in TypeProto.

Structs

AttributeProto

Attributes

FunctionProto

GraphProto

Graphs

ModelProto

Models

NodeProto

Nodes

OperatorSetIdProto

Operator Sets

SparseTensorProto

A serialized sparse-tensor value

StringStringEntryProto

StringStringEntryProto follows the pattern for cross-proto-version maps. See https://developers.google.com/protocol-buffers/docs/proto3#maps

TensorAnnotation

TensorProto

Tensors

TensorShapeProto

Defines a tensor shape. A dimension can be either an integer value or a symbolic variable. A symbolic variable represents an unknown dimension.

TrainingInfoProto

Training information TrainingInfoProto stores information for training a model. In particular, this defines two functionalities: an initialization-step and a training-algorithm-step. Initialization resets the model back to its original state as if no training has been performed. Training algorithm improves the model based on input data.

TypeProto

Types

ValueInfoProto

Defines information on value, including the name, the type, and the shape of the value.

Enums

OperatorStatus

Operator/function status.

Version

Versioning