torch.rand
torch.rand(size, , generator=None, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False, pin_memory=False) -> Tensor
Returns a tensor filled with random numbers from a uniform
   distribution on the interval [0, 1)
The shape of the tensor is defined by the variable argument "size".
Parameters:
      size (int...) -- a sequence of integers defining the
      shape of the output tensor. Can be a variable number of
      arguments or a collection like a list or tuple.
Keyword Arguments:
      * generator ("torch.Generator", optional) -- a pseudorandom
        number generator for sampling
  * **out** (*Tensor**, **optional*) -- the output tensor.

  * **dtype** ("torch.dtype", optional) -- the desired data type
    of returned tensor. Default: if "None", uses a global default
    (see "torch.set_default_tensor_type()").

  * **layout** ("torch.layout", optional) -- the desired layout of
