torch.atleast_1d

torch.atleast_1d(*tensors) [source]

Returns a 1-dimensional view of each input tensor with zero dimensions. Input tensors with one or more dimensions are returned as-is.

Parameters

input (Tensor or sequence of Tensors) – tensor(s) to be converted to at least 1-dimensional.

Returns

output (Tensor or tuple of Tensors)

Example:

>>> 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()
()