Reverses specific dimensions of a tensor.
tf.raw_ops.ReverseV2( 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]]]]
Args | |
---|---|
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). |
Returns | |
---|---|
A Tensor . Has the same type as tensor . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ReverseV2