mindspore.ops.randn_like

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

Return a tensor with the same shape as input, filled with random numbers from the standard normal distribution.

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 non-negative. 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([[1, 2, 3], [4, 5, 6]])
>>> print(mindspore.ops.randn_like(a, dtype=mindspore.float32))
[[ 0.30639967 -0.42438635 -0.20454668]
 [-0.4287376   1.3054721   0.64747655]]