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.

Examples

>>> from mindspore import mint
>>> print(mint.rand(2, 3).shape)
(2, 3)