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# torch.logical_and

torch.logical_and(input, other, *, out=None) → Tensor

  Computes the element-wise logical AND of the given input tensors. Zeros are treated as `False` and nonzeros are treated as `True`.

  Parameters:

    - input (Tensor) – the input tensor.

    - other (Tensor) – the tensor to compute AND with

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

  Example:

      >>> torch.logical_and(torch.tensor([True, False, True]), torch.tensor([True, False, False]))
      tensor([ True, False, False])
      >>> a = torch.tensor([0, 1, 10, 0], dtype=torch.int8)
      >>> b = torch.tensor([4, 0, 1, 0], dtype=torch.int8)
      >>> torch.logical_and(a, b)
      tensor([False, False,  True, False])
      >>> torch.logical_and(a.double(), b.double())
      tensor([False, False,  True, False])
      >>> torch.logical_and(a.double(), b)
      tensor([False, False,  True, False])
      >>> torch.logical_and(a, b, out=torch.empty(4, dtype=torch.bool))
      tensor([False, False,  True, False])

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