mindspore.mint.rand
- mindspore.mint.rand(*size, generator=None, dtype=None)[source]
Returns a new tensor that fills numbers from the uniform distribution over an interval \([0, 1)\) based on the given shape and dtype.
- Parameters
size (Union[int, tuple(int), list(int)]) – Shape of the new tensor, e.g. \((2, 3)\) or \(2\).
- Keyword Arguments
generator (
mindspore.Generator
, optional) – a pseudorandom number generator. Default:None
, uses the default pseudorandom number generator.dtype (
mindspore.dtype
, optional) – Designated tensor dtype, it must be float type. If None, mindspore.float32 will be applied. Default:None
.
- Returns
Tensor, with the designated shape and dtype, filled with random numbers from the uniform distribution on the interval \([0, 1)\).
- Raises
ValueError – If dtype is not a mstype.float_type type.
- Supported Platforms:
Ascend
Examples
>>> from mindspore import mint >>> print(mint.rand(2, 3).shape) (2, 3)