torch.range
torch.range(start=0, end, step=1, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) -> Tensor
Returns a 1-D tensor of size \left\lfloor \frac{\text{end} -
   \text{start}}{\text{step}} \right\rfloor + 1 with values from
   "start" to "end" with step "step". Step is the gap between two
   values in the tensor.
  \text{out}_{i+1} = \text{out}_i + \text{step}.

Warning:
 This function is deprecated and will be removed in a future
 release because its behavior is inconsistent with Python's range
 builtin. Instead, use "torch.arange()", which produces values in
 [start, end).

Parameters:
      * start (float) -- the starting value for the set of
        points. Default: "0".
  * **end** (*float*) -- the ending value for the set of points

  * **step** (*float*) -- the gap between each pair of adjacent
    points. Default: "1".

Keyword Arguments: