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])