mindspore.ops.rand

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mindspore.ops.rand(*size, dtype=None, seed=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.

Warning

The Ascend backend does not support the reproducibility of random numbers, so the seed parameter has no effect.

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 applied. 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 random numbers from the uniform distribution on the interval \([0, 1)\).

Raises

  • TypeError – seed is not a non-negative integer.

  • ValueError – If dtype is not a mstype.float_type type.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import ops
>>> print(ops.rand((2,3)))
[[4.1702199e-01 9.9718481e-01 7.2032452e-01]
 [9.3255734e-01 1.1438108e-04 1.2812445e-01]]