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.

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.

Input(
constOutput  & 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(
constT & v
)

Input(
constInitializer  & init
)

Input(
constTensor  & t
)

Input(
conststd::initializer_list<Initializer  > & init
)

Input(
conststd::string & name,
int32_ti,
DataTypedt
)

Constructor specifying a node name, index and datatype.

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

DataTypedata_type()const

int32index()const

Node*node()const

std::stringnode_name()const

Statusstatus()const

constTensor  & tensor()const