tensorflow::ops::Placeholder

#include <array_ops.h>

A placeholder op for a value that will be fed into the computation.

Summary

N.B. This operation will fail with an error if it is executed. It is intended as a way to represent a value that will always be fed, and to provide attrs that enable the fed value to be checked at runtime.

Arguments:

  • scope: A Scope object
  • dtype: The type of elements in the tensor.

Optional attributes (see Attrs):

  • shape: (Optional) The shape of the tensor. If the shape has 0 dimensions, the shape is unconstrained.

Returns:

  • Output: A placeholder tensor that must be replaced using the feed mechanism.

Constructors and Destructors

Placeholder(const ::tensorflow::Scope & scope, DataType dtype)
Placeholder(const ::tensorflow::Scope & scope, DataType dtype, const Placeholder::Attrs & attrs)

Public attributes

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

Shape(TensorShape x)

Structs

tensorflow::ops::Placeholder::Attrs

Optional attribute setters for Placeholder.

Public attributes

output

::tensorflow::Output output

Public functions

Placeholder

 Placeholder(
  const ::tensorflow::Scope & scope,
  DataType dtype
)

Placeholder

 Placeholder(
  const ::tensorflow::Scope & scope,
  DataType dtype,
  const Placeholder::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

Shape

Attrs Shape(
  TensorShape x
)