torch.is_nonzero#
- torch.is_nonzero(input)#
如果
input是一個在型別轉換後不等於零的單元素張量,則返回 True。即不等於torch.tensor([0.])或torch.tensor([0])或torch.tensor([False])。如果torch.numel() != 1(即使是稀疏張量),則丟擲RuntimeError。- 引數
input (Tensor) – 輸入張量。
示例
>>> 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: Boolean value of Tensor with more than one value is ambiguous >>> torch.is_nonzero(torch.tensor([])) Traceback (most recent call last): ... RuntimeError: Boolean value of Tensor with no values is ambiguous