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torch.functional.atleast_1d#

torch.functional.atleast_1d(*tensors)[源代码]#

返回每个输入张量的至少一维视图,其中零维张量将变为一维。具有一维或多维的输入张量将按原样返回。

参数

input (TensorTensor 序列) – 要转换为至少一维的张量。

返回

output (Tensor or tuple of Tensors)

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.]))
>>> torch.atleast_1d()
()