mindspore.ops.rand
- 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.
- 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
, and0
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]]