torch.atleast_1d

torch.atleast_1d(*tensors)

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 list of Tensors) –

Returns

output (Tensor or tuple of Tensors)

Example:

>>> x = torch.randn(2)
>>> x
tensor([1.4584, 0.7583])
>>> torch.atleast_1d(x)
tensor([1.4584, 0.7583])
>>> 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.]))