Aliases:
tf.manip.reverse
tf.reverse
tf.reverse_v2
tf.reverse(
tensor,
axis,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_array_ops.py
.
Reverses specific dimensions of a tensor.
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]]]]
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.axis
: ATensor
. 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).
Returns:
A Tensor
. Has the same type as tensor
.