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.
# 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.