atleast_1d() can only make one or more 0D tensors one or more 1D tensors as shown below. *atleast_1d() can be called only from torch but not from a tensor:
import torch
tensor0 = torch.tensor(2) # 0D tensor
tensor1 = torch.tensor([2, 7, 4]) # 1D tensor
tensor2 = torch.tensor([[2, 7, 4], [8, 3, 2]]) # 2D tensor
tensor3 = torch.tensor([[[2, 7, 4], [8, 3, 2]], # 3D tensor
[[5, 0, 8], [3, 6, 1]]])
tensor4 = torch.tensor([[[[2, 7, 4], [8, 3, 2]], # 4D tensor
[[5, 0, 8], [3, 6, 1]]],
[[[9, 4, 7], [1, 0, 5]],
[[6, 7, 4], [2, 1, 9]]]])
torch.atleast_1d(tensor0, tensor1, tensor2, tensor3, tensor4)
torch.atleast_1d((tensor0, tensor1, tensor2, tensor3, tensor4))
# (tensor([2]),
# tensor([2, 7, 4]),
# tensor([[2, 7, 4], [8, 3, 2]]),
# tensor([[[2, 7, 4], [8, 3, 2]],
# [[5, 0, 8], [3, 6, 1]]]),
# tensor([[[[2, 7, 4], [8, 3, 2]],
# [[5, 0, 8], [3, 6, 1]]],
# [[[9, 4, 7], [1, 0, 5]],
# [[6, 7, 4], [2, 1, 9]]]]))
atleast_2d() can only make one or more 0D or 1D tensors one or more 2D tensors as shown below. *atleast_2d() can be called only from torch but not from a tensor:
import torch
tensor0 = torch.tensor(2) # 0D tensor
tensor1 = torch.tensor([2, 7, 4]) # 1D tensor
tensor2 = torch.tensor([[2, 7, 4], [8, 3, 2]]) # 2D tensor
tensor3 = torch.tensor([[[2, 7, 4], [8, 3, 2]], # 3D tensor
[[5, 0, 8], [3, 6, 1]]])
tensor4 = torch.tensor([[[[2, 7, 4], [8, 3, 2]], # 4D tensor
[[5, 0, 8], [3, 6, 1]]],
[[[9, 4, 7], [1, 0, 5]],
[[6, 7, 4], [2, 1, 9]]]])
torch.atleast_2d(tensor0, tensor1, tensor2, tensor3, tensor4)
torch.atleast_2d((tensor0, tensor1, tensor2, tensor3, tensor4))
# (tensor([[2]]),
# tensor([[2, 7, 4]]),
# tensor([[2, 7, 4], [8, 3, 2]]),
# tensor([[[2, 7, 4], [8, 3, 2]],
# [[5, 0, 8], [3, 6, 1]]]),
# tensor([[[[2, 7, 4], [8, 3, 2]],
# [[5, 0, 8], [3, 6, 1]]],
# [[[9, 4, 7], [1, 0, 5]],
# [[6, 7, 4], [2, 1, 9]]]]))
atleast_3d() can only make one or more 0D, 1D or 2D tensors one or more 3D tensors as shown below. *atleast_3d() can be called only from torch but not from a tensor:
import torch
tensor0 = torch.tensor(2) # 0D tensor
tensor1 = torch.tensor([2, 7, 4]) # 1D tensor
tensor2 = torch.tensor([[2, 7, 4], [8, 3, 2]]) # 2D tensor
tensor3 = torch.tensor([[[2, 7, 4], [8, 3, 2]], # 3D tensor
[[5, 0, 8], [3, 6, 1]]])
tensor4 = torch.tensor([[[[2, 7, 4], [8, 3, 2]], # 4D tensor
[[5, 0, 8], [3, 6, 1]]],
[[[9, 4, 7], [1, 0, 5]],
[[6, 7, 4], [2, 1, 9]]]])
torch.atleast_3d(tensor0, tensor1, tensor2, tensor3, tensor4)
torch.atleast_3d((tensor0, tensor1, tensor2, tensor3, tensor4))
# (tensor([[[2]]]),
# tensor([[[2], [7], [4]]]),
# tensor([[[2], [7], [4]],
# [[8], [3], [2]]]),
# tensor([[[2, 7, 4], [8, 3, 2]],
# [[5, 0, 8], [3, 6, 1]]]),
# tensor([[[[2, 7, 4], [8, 3, 2]],
# [[5, 0, 8], [3, 6, 1]]],
# [[[9, 4, 7], [1, 0, 5]],
# [[6, 7, 4], [2, 1, 9]]]]))
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