W3cubDocs

/TensorFlow C++

tensorflow::ops::Squeeze

#include <array_ops.h>

Removes dimensions of size 1 from the shape of a tensor.

Summary

Given a tensor input, this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, you can remove specific size 1 dimensions by specifying axis.

For example:

# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
shape(squeeze(t)) ==> [2, 3]

Or, to remove specific size 1 dimensions:

# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
shape(squeeze(t, [2, 4])) ==> [1, 2, 3, 1]

Arguments:

  • scope: A Scope object
  • input: The input to squeeze.

Optional attributes (see Attrs):

  • axis: If specified, only squeezes the dimensions listed. The dimension index starts at 0. It is an error to squeeze a dimension that is not 1. Must be in the range [-rank(input), rank(input)).

Returns:

  • Output: Contains the same data as input, but has one or more dimensions of size 1 removed.
Constructors and Destructors
Squeeze(const ::tensorflow::Scope & scope, ::tensorflow::Input input)
Squeeze(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const Squeeze::Attrs & attrs)
Public attributes
output
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Public static functions
Axis(const gtl::ArraySlice< int > & x)
Structs
tensorflow::ops::Squeeze::Attrs

Optional attribute setters for Squeeze.

Public attributes

output

::tensorflow::Output output

Public functions

Squeeze

 Squeeze(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input
)

Squeeze

 Squeeze(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const Squeeze::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

Public static functions

Axis

Attrs Axis(
  const gtl::ArraySlice< int > & x
)

© 2018 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/squeeze.html