torch.any¶
- torch.any(input) Tensor ¶
Tests if any element in
input
evaluates to True.Note
This function matches the behaviour of NumPy in returning output of dtype bool for all supported dtypes except uint8. For uint8 the dtype of output is uint8 itself.
Example:
>>> a = torch.rand(1, 2).bool() >>> a tensor([[False, True]], dtype=torch.bool) >>> torch.any(a) tensor(True, dtype=torch.bool) >>> a = torch.arange(0, 3) >>> a tensor([0, 1, 2]) >>> torch.any(a) tensor(True)
- torch.any(input, dim, keepdim=False, *, out=None) Tensor
For each row of
input
in the given dimensiondim
, returns True if any element in the row evaluate to True and False otherwise.If
keepdim
isTrue
, the output tensor is of the same size asinput
except in the dimensiondim
where it is of size 1. Otherwise,dim
is squeezed (seetorch.squeeze()
), resulting in the output tensor having 1 fewer dimension thaninput
.- Parameters:
- Keyword Arguments:
out (Tensor, optional) – the output tensor.
Example:
>>> a = torch.randn(4, 2) < 0 >>> a tensor([[ True, True], [False, True], [ True, True], [False, False]]) >>> torch.any(a, 1) tensor([ True, True, True, False]) >>> torch.any(a, 0) tensor([True, True])