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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(PartialTensorShape 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(
  PartialTensorShape x
)

© 2017 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/api_docs/cc/class/tensorflow/ops/placeholder.html