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tensorflow::Input

#include <ops.h>

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

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 string & name, int32 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(
  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(
  const T & v
)

 Input(
  const Initializer & init
)

 Input(
  const Tensor & t
)

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

 Input(
  const string & name,
  int32 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.

DataType data_type() const

int32 index() const

Node * node() const

string node_name() const

Status status() const

const Tensor & tensor() const

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input