Module Onnx_protoc.Onnx

module Version : sig ... end

Versioning

module OperatorStatus : sig ... end

Operator/function status.

module AttributeProto : sig ... end

Attributes

module ValueInfoProto : sig ... end

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

module NodeProto : sig ... end

Nodes

module TrainingInfoProto : sig ... end

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.

module ModelProto : sig ... end

Models

module StringStringEntryProto : sig ... end

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

module TensorAnnotation : sig ... end
module GraphProto : sig ... end

Graphs

module TensorProto : sig ... end

Tensors

module SparseTensorProto : sig ... end

A serialized sparse-tensor value

module TensorShapeProto : sig ... end

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

module TypeProto : sig ... end

Types

module OperatorSetIdProto : sig ... end

Operator Sets

module FunctionProto : sig ... end