PyTorch
torch / torch
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 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.]))
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