tf.reverse

Reverses specific dimensions of a tensor.

tf.reverse(     tensor, axis, name=None )

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:

# 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]]]]

tensor A Tensor. Must be one of the following types: uint8, int8, uint16, int16, int32, int64, bool, bfloat16, half, float32, float64, complex64, complex128, string. Up to 8-D.
axis A Tensor. Must be one of the following types: int32, int64. 1-D. The indices of the dimensions to reverse. Must be in the range [-rank(tensor), rank(tensor)).
name A name for the operation (optional).

A Tensor. Has the same type as tensor.