Defined in generated file: python/ops/gen_array_ops.py
Reverses specific dimensions of a tensor.
Aliases:
tf.compat.v1.manip.reversetf.compat.v1.reversetf.compat.v1.reverse_v2tf.compat.v2.reverse
tf.reverse(
tensor,
axis,
name=None
)
tf.reverseNOTE has now changed behavior in preparation for 1.0. _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]]]]
Args:
tensor: ATensor. 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.
Returns:
A Tensor. Has the same type as tensor.