torch.is_nonzero — PyTorch 2.0 documentation (original) (raw)

torch.is_nonzero(input)¶

Returns True if the input is a single element tensor which is not equal to zero after type conversions. i.e. not equal to torch.tensor([0.]) or torch.tensor([0]) ortorch.tensor([False]). Throws a RuntimeError if torch.numel() != 1 (even in case of sparse tensors).

Parameters:

input (Tensor) – the input tensor.

Examples:

torch.is_nonzero(torch.tensor([0.])) False torch.is_nonzero(torch.tensor([1.5])) True torch.is_nonzero(torch.tensor([False])) False torch.is_nonzero(torch.tensor([3])) True torch.is_nonzero(torch.tensor([1, 3, 5])) Traceback (most recent call last): ... RuntimeError: bool value of Tensor with more than one value is ambiguous torch.is_nonzero(torch.tensor([])) Traceback (most recent call last): ... RuntimeError: bool value of Tensor with no values is ambiguous