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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.

Namespaces

tensorflow:: batch_util
tensorflow:: ops
tensorflow:: thread

Typedefs

OutputList

std::vector< Output > OutputList

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

Functions

CreateOutputWithScope

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