Shortcuts

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])

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources