mindspore.mint.rand_like
- mindspore.mint.rand_like(input, *, dtype=None)[source]
Returns a new tensor that fills numbers from the uniform distribution over an interval \([0, 1)\) based on the given dtype and shape of the input tensor.
- Parameters
input (Tensor) – Input Tensor to specify the output shape and its default dtype.
- Keyword Arguments
dtype (
mindspore.dtype
, optional) – Designated tensor dtype, it must be float type. If None, the same dtype of input will be applied. Default:None
.- Returns
Tensor, with the designated shape and dtype, filled with random numbers from the uniform distribution on the interval \([0, 1)\).
- Raises
ValueError – If dtype is not a mstype.float_type type.
- Supported Platforms:
Ascend
Examples
>>> import mindspore as ms >>> from mindspore import Tensor, mint >>> a = Tensor([[2, 3, 4], [1, 2, 3]]) >>> print(mint.rand_like(a, dtype=ms.float32).shape) (2, 3)