mindspore.numpy.rand

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mindspore.numpy.rand(*shape, dtype=mstype.float32)[source]

Returns a new Tensor with the given shape and dtype, filled with random numbers from the uniform distribution on the interval \([0, 1)\).

Parameters:

  • *shape (Union[int, tuple(int), list(int)]) – Shape of the new tensor, e.g., \((2, 3)\) or \(2\).

  • dtype (Union[mindspore.dtype, str], optional) – Designated tensor dtype, it must be float type. Default is mindspore.float32.

Returns:

Tensor, with the designated shape and dtype, filled with random numbers from the uniform distribution on the interval \([0, 1)\).

Raises:

  • TypeError – If input arguments have types not specified above.

  • ValueError – If dtype is not float type.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> from mindspore import set_seed
>>> set_seed(1)
>>> print(np.rand((2,3)))
[[4.1702199e-01 9.9718481e-01 7.2032452e-01]
[9.3255734e-01 1.1438108e-04 1.2812445e-01]]