tensorflow::ops::Reverse

#include <array_ops.h>

Reverses specific dimensions of a tensor.

Summary

NOTE tf.reverse has now changed behavior in preparation for 1.0. tf.reverse_v2 is currently an alias that will be deprecated before TF 1.0.

Given a tensor, and a int32 tensor axis representing the set of dimensions of tensor to reverse. This operation reverses each dimension i for which there exists j s.t. axis[j] == i.

tensor can have up to 8 dimensions. The number of dimensions specified in axis may be 0 or more entries. If an index is specified more than once, a InvalidArgument error is raised.

For example:

```prettyprint tensor 't' is [[[[ 0, 1, 2, 3],

[ 4, 5, 6, 7],

[ 8, 9, 10, 11]],

[[12, 13, 14, 15],

[16, 17, 18, 19],

[20, 21, 22, 23]]]]

tensor 't' shape is [1, 2, 3, 4]

'dims' is [3] or 'dims' is -1

reverse(t, dims) ==> [[[[ 3, 2, 1, 0], [ 7, 6, 5, 4], [ 11, 10, 9, 8]], [[15, 14, 13, 12], [19, 18, 17, 16], [23, 22, 21, 20]]]]

'dims' is '[1]' (or 'dims' is '[-3]')

reverse(t, dims) ==> [[[[12, 13, 14, 15], [16, 17, 18, 19], [20, 21, 22, 23] [[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]]]

'dims' is '[2]' (or 'dims' is '[-2]')

reverse(t, dims) ==> [[[[8, 9, 10, 11], [4, 5, 6, 7], [0, 1, 2, 3]] [[20, 21, 22, 23], [16, 17, 18, 19], [12, 13, 14, 15]]]] ```

Arguments:

  • scope: A Scope object
  • tensor: Up to 8-D.
  • axis: 1-D. The indices of the dimensions to reverse.

Returns:

  • Output: The same shape as tensor.

Constructors and Destructors

Reverse(const ::tensorflow::Scope & scope, ::tensorflow::Input tensor, ::tensorflow::Input axis)

Public attributes

output

Public functions

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

Public attributes

output

::tensorflow::Output output

Public functions

Reverse

 Reverse(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input tensor,
  ::tensorflow::Input axis
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const