torch.atleast_1d¶
- torch.atleast_1d(*tensors)[source][source]¶
返回每个输入张量的 1 维视图,对于零维输入张量。具有一个或多个维度的输入张量将按原样返回。
- 参数:
输入(张量或张量列表) –
- 返回值:
输出(张量或张量元组)
示例:
>>> x = torch.arange(2) >>> x tensor([0, 1]) >>> torch.atleast_1d(x) tensor([0, 1]) >>> x = torch.tensor(1.) >>> x tensor(1.) >>> torch.atleast_1d(x) tensor([1.]) >>> x = torch.tensor(0.5) >>> y = torch.tensor(1.) >>> torch.atleast_1d((x, y)) (tensor([0.5000]), tensor([1.]))