mindspore.ops.rand_like

mindspore.ops.rand_like(input, seed=None, *, dtype=None)[source]

Return a tensor with the same shape as input that is filled with random numbers from a uniform distribution on the interval $[0, 1)$ .

Warning

The Ascend backend does not support the reproducibility of random numbers, so the seed parameter has no effect.

Parameters

input (Tensor) – The input tensor.
seed (int, optional) – Random seed, must be greater or equal to 0. Default None .

Keyword Arguments

dtype (mindspore.dtype, optional) – The data type returned. Default None .

Returns

Tensor

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> a = mindspore.tensor([[2, 3, 4], [1, 2, 3]])
>>> print(mindspore.ops.rand_like(a, dtype=mindspore.float32))
[[4.1702199e-01 9.9718481e-01 7.2032452e-01]
 [9.3255734e-01 1.1438108e-04 1.2812445e-01]]