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 squeeze_dims.

For example:

```prettyprint 't' is a tensor of shape [1, 2, 1, 3, 1, 1]

shape(squeeze(t)) ==> [2, 3] ```

Or, to remove specific size 1 dimensions:

```prettyprint '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):

  • squeeze_dims: 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.

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

SqueezeDims(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

SqueezeDims

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