mindspore.ops.randn
- mindspore.ops.randn(*size, dtype=None, seed=None)[source]
Returns a new Tensor with given shape and dtype, filled with a sample (or samples) from the standard normal distribution.
- Parameters
size (Union[int, tuple(int), list(int)]) – Shape of the new tensor, e.g., \((2, 3)\) or \(2\).
- Keyword Arguments
dtype (
mindspore.dtype
, optional) – Designated tensor dtype, it must be float type. If None, mindspore.float32 will be used. Default:None
.seed (int, optional) – Random seed, must be greater or equal to 0. Default:
None
, and 0 will be used.
- 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.
ValueError – If size contains invalid number.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> from mindspore import ops >>> print(ops.randn((2, 2))) [[ 0.30639967 -0.42438635] [-0.4287376 1.3054721 ]]