PyTorch
torch / torch
torch.bitwise_and¶
-
torch.
bitwise_and
(input, other, *, out=None) → Tensor¶ Computes the bitwise AND of
input
andother
. 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])
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