torch.bitwise_and
torch.bitwise_and(input, other, *, out=None) -> Tensor
Computes the bitwise AND of "input" and "other". The input tensor
   must be of integral or Boolean types. For bool tensors, it computes
   the logical AND.
Parameters:
      * input -- the first input tensor
  * **other** -- the second input tensor

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> torch.bitwise_and(torch.tensor([-1, -2, 3], dtype=torch.int8), torch.tensor([1, 0, 3], dtype=torch.int8))
  tensor([1, 0,  3], dtype=torch.int8)
  >>> torch.bitwise_and(torch.tensor([True, True, False]), torch.tensor([False, True, False]))
  tensor([ False, True, False])
