random_

paddle.Tensor. random_ ( x: Tensor, from_: int = 0, to: int | None = None, *, generator: None = None ) → Tensor

Fills self tensor with numbers sampled from the discrete uniform distribution over [from, to - 1]. If not specified, the values are usually only bounded by self tensor’s data type. However, for floating point types, if unspecified, range will be [0, 2^mantissa] to ensure that every value is representable.

Parameters

• from (int, optional) – The lower bound on the range of random values to generate. Default is 0.

• to (int|None, optional) – The upper bound on the range of random values to generate. Default is None.

• generator (None) – Placeholder for random number generator (currently not implemented, reserved for future use).

Returns

Tensor, A Tensor filled with random integers from a discrete uniform distribution in the range [from, to).

Examples

>>> import paddle

>>> x = paddle.zeros([3], dtype=paddle.int32)
>>> x.random_(0, 10)