mindspore.numpy.randint
- mindspore.numpy.randint(minval, maxval=None, shape=None, dtype=mstype.int32)[源代码]
Return random integers from minval (inclusive) to maxval (exclusive). Return random integers from the discrete uniform distribution of the specified dtype in the “half-open” interval \([minval, maxval)\). If maxval is None (the default), the value range will be \([0, minval)\), in this case, minval must be greater than 0.
- 参数
minval (Union[int]) – Start value of interval. The interval includes this value. When maxval is
None
, minval must be greater than 0. When maxval is notNone
, minval must be less than maxval.maxval (Union[int], optional) – End value of interval. The interval does not include this value.
shape (Union[int, tuple(int)]) – Shape of the new tensor, e.g., \((2, 3)\) or \(2\).
dtype (Union[
mindspore.dtype
, str], optional) – Designated tensor dtype, it must be int type. Default ismindspore.int32
.
- 返回
Tensor, with the designated shape and dtype, filled with random integers from minval (inclusive) to maxval (exclusive).
- 异常
TypeError – If input arguments have types not specified above.
ValueError – If input arguments have values not specified above.
- Supported Platforms:
Ascend
GPU
CPU
样例
>>> import mindspore.numpy as np >>> from mindspore import set_seed >>> set_seed(1) >>> print(np.randint(1, 10, (2,3))) [[4 9 7] [9 1 2]]