mindspore.Tensor.reshape

Tensor.reshape(*shape)[source]

Give a new shape to a tensor without changing its data.

Parameters

shape (Union[int, tuple(int), list(int)]) – The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D tensor of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the tensor and remaining dimensions.

Returns

Tensor, with new specified shape.

Raises

  • TypeError – If new shape is not integer, list or tuple.

  • ValueError – If new shape is not compatible with the original shape.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import Tensor
>>> from mindspore import dtype as mstype
>>> x = Tensor([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]], dtype=mstype.float32)
>>> output = x.reshape((3, 2))
>>> print(output)
[[-0.1  0.3]
[ 3.6  0.4]
[ 0.5 -3.2]]