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mindspore.ops.Transpose

class mindspore.ops.Transpose

Permutes the dimensions of the input tensor according to input permutation.

Refer to mindspore.ops.transpose() for more details.

Inputs:

• input_x (Tensor) - The shape of tensor is $(x_1,x_2,...,x_R)$.

• input_perm (tuple[int]) - The permutation to be converted. The elements in input_perm are composed of the indexes of each dimension of input_x. The length of input_perm and the shape of input_x must be the same. Only constant value is allowed. Must be in the range [0, rank(input_x)).

Outputs:

Tensor, the type of output tensor is the same as input_x and the shape of output tensor is decided by the shape of input_x and the value of input_perm.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_x = Tensor(np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]), mindspore.float32)
>>> input_perm = (0, 2, 1)
>>> transpose = ops.Transpose()
>>> output = transpose(input_x, input_perm)
>>> print(output)
[[[ 1.  4.]
  [ 2.  5.]
  [ 3.  6.]]
 [[ 7. 10.]
  [ 8. 11.]
  [ 9. 12.]]]