mindspore.ops.randint

mindspore.ops.randint(low, high, size, seed=None, *, dtype=None)

Returns a Tensor whose elements are random integers in the range of [ low , high ) .

Warning

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

Parameters

• low (int) – Start value of interval.

• high (int) – End value of interval.

• size (tuple) – Shape of the new tensor.

• seed (int, optional) – Random seed, must be greater or equal to 0. Default: None , and 0 will be used.

Keyword Arguments

dtype (mindspore.dtype, optional) – Designated tensor dtype, it must be int type. If None , mindspore.int64 will be used. Default: None .

Returns

Tensor, with the designated shape and dtype, filled with random integers from low (inclusive) to high (exclusive).

Raises

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

• TypeError – size is not a tuple.

• TypeError – low or high is not an integer.

• ValueError – If dtype is not a mstype.int_type.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import ops
>>> print(ops.randint(1, 10, (2,3)))
[[4 9 7]
 [9 1 2]]