mindspore.Tensor.is_contiguous

Tensor.is_contiguous()

Determines whether the memory of tensor is contiguous.

Returns

Bool, True if tensor memory is contiguous, False otherwise.

Examples

>>> import mindspore as ms
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x = Tensor([[1, 2, 3], [4, 5, 6]], dtype=ms.float32)
>>> y = ops.transpose(x, (1, 0))
>>> print(y.is_contiguous())
False