>>> import torch
>>> from torch import linalg
>>> 
>>> my_tensor = torch.tensor([[[8., -3., 0., 1.]]])
>>>                            # ↓ ↓ ↓ ↓ ↓
>>> linalg.norm(input=my_tensor, ord='fro', dim=(0, 1, 2)) # Error
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: linalg.norm: If dim is specified, it mut be of length 1 or 2. Got [0, 1, 2]
>>>                            # ↓ ↓ ↓ ↓ ↓
>>> linalg.norm(input=my_tensor, ord='nuc', dim=(0, 1, 2)) # Error
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: linalg.norm: If dim is specified, it mut be of length 1 or 2. Got [0, 1, 2]

>>> import torch
>>> from torch import linalg
>>> 
>>> my_tensor = torch.tensor([[[8., -3., 0., 1.]]])
>>>                            # ↓ ↓ ↓ ↓ ↓
>>> linalg.norm(input=my_tensor, ord='fro', dim=(0, 1, 2)) # Error
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: linalg.norm: If dim is specified, it must be of length 1 or 2. Got [0, 1, 2]
>>>                            # ↓ ↓ ↓ ↓ ↓
>>> linalg.norm(input=my_tensor, ord='nuc', dim=(0, 1, 2)) # Error
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: linalg.norm: If dim is specified, it must be of length 1 or 2. Got [0, 1, 2]