tensorflow

Summary

Typedefs
`OutputList`	typedef `std::vector< Output >` A type for representing the output of ops that produce more than one output, or a list of tensors.

Functions
`CreateOutputWithScope (string op_name, absl::Span< const :: tensorflow::Input > inputs, const Scope & scope, Output *output)`	`Status`

Classes
tensorflow:: ClientSession	A `ClientSession` object lets the caller drive the evaluation of the TensorFlow graph constructed with the C++ API.
tensorflow:: Input	Represents a tensor value that can be used as an operand to an Operation .
tensorflow:: InputList	A type for representing the input to ops that require a list of tensors.
tensorflow:: Operation	Represents a node in the computation graph.
tensorflow:: Output	Represents a tensor value produced by an Operation .
tensorflow:: Scope	A `Scope` object represents a set of related TensorFlow ops that have the same properties such as a common name prefix.
tensorflow:: Tensor	Represents an n-dimensional array of values.
tensorflow:: TensorBuffer

Structs
tensorflow:: CompositeOpScopes	A helper struct to hold the scopes that would be used by a function constructing a composite op.
tensorflow:: OutputHash	Hash class that can be used for e.g. storing Outputs in an unordered_map.

std::vector< Output > OutputList

A type for representing the output of ops that produce more than one output, or a list of tensors.

Status CreateOutputWithScope(
  string op_name,
  absl::Span< const ::tensorflow::Input > inputs,
  const Scope & scope,
  Output *output
)