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.
`StatusCallback`	typedef `std::function< void(const Status &)>`

Functions
`CreateOutputWithScope(string op_name, absl::Span< const ::tensorflow::Input > inputs, const Scope & scope, Output *output)`	`Status`
`TfCheckOpHelper(::tensorflow::Status v, const char *msg)`	`tensorflow::string *`
`TfCheckOpHelperOutOfLine(const ::tensorflow::Status & v, const char *msg)`	`tensorflow::string *`
`operator<<(std::ostream & os, const Status & x)`	`std::ostream &`

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::Status	Denotes success or failure of a call in Tensorflow.
tensorflow::StatusGroup
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.

std::function< void(const Status &)> StatusCallback

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

tensorflow::string * TfCheckOpHelper(
  ::tensorflow::Status v,
  const char *msg
)

tensorflow::string * TfCheckOpHelperOutOfLine(
  const ::tensorflow::Status & v,
  const char *msg
)

std::ostream & operator<<(
  std::ostream & os,
  const Status & x
)