tensorflow::Input

#include <ops.h>

Represents a tensor value that can be used as an operand to an Operation.

Summary

Constructors and Destructors
Input(const Output & o) All of Input's constructors are implicit.
Input(const T & v)
Input(const Initializer & init)
Input(const Tensor & t)
Input(const std::initializer_list< Initializer > & init)
Input(const std::string & name, int32_t i, DataType dt) Constructor specifying a node name, index and datatype.

Public functions
data_type() const	DataType
index() const	int32
node() const	Node *
node_name() const	std::string
status() const	Status
tensor() const	const Tensor &

Structs
tensorflow::Input::Initializer	Initializer enables constructing an Input object from various kinds of C++ constants such as simple primitive constants and nested initializer lists representing a multi-dimensional array.

Public functions

Input

 Input(
  const Output & o
)

All of Input's constructors are implicit.

Input can be implicitly constructed from the following objects :

• Output: This is so that the output of an Operation can be directly used as the input to a op wrapper, which takes Inputs.
• A scalar, or a multi-dimensional tensor specified as a recursive initializer list. This enables directly passing constants as inputs to op wrappers.
• A Tensor object.

Input

 Input(
  const T & v
)

Input

 Input(
  const Initializer & init
)

Input

 Input(
  const Tensor & t
)

Input

 Input(
  const std::initializer_list< Initializer > & init
)

Input

 Input(
  const std::string & name,
  int32_t i,
  DataType dt
)

Constructor specifying a node name, index and datatype.

This should only be used for specifying a backward edge, needed by control flow.

data_type

DataType data_type() const 

index

int32 index() const 

node

Node * node() const 

node_name

std::string node_name() const 

status

Status status() const 

tensor

const Tensor & tensor() const