mindspore.ops.randn_like
- mindspore.ops.randn_like(input, seed=None, *, dtype=None)[source]
Returns a new Tensor with given shape and dtype, filled with a sample (or samples) from the standard normal distribution.
- Parameters
- Keyword Arguments
dtype (
mindspore.dtype
, optional) – Designated tensor dtype, it must be float type. If None, mindspore.float32 will be used. Default:None
.- Returns
Tensor, with the designated shape and dtype, filled with a sample (or samples) from the "standard normal" distribution.
- Raises
TypeError – seed is not a non-negative integer.
ValueError – If dtype is not a mstype.float_type.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore as ms >>> from mindspore import Tensor, ops >>> a = Tensor([[1, 2, 3], [4, 5, 6]]) >>> print(ops.randn_like(a, dtype=ms.float32)) [[ 0.30639967 -0.42438635 -0.20454668] [-0.4287376 1.3054721 0.64747655]]