class_docstr: This module returns a view of the tensor input with its dimensions permuted.
  
  Args:
      dims (List[int]): The desired ordering of dimensions
code: def forward(self, x: Tensor) -> Tensor:
      return torch.permute(x, self.dims)
  
imports: import warnings
  from typing import Callable, List, Optional, Sequence, Tuple, Union
  import torch
  from torch import Tensor
  from ..utils import _log_api_usage_once, _make_ntuple
label_desc: Use image node_id 2 for calling the Permute obj's underlying member method code with example usage: obj.forward(x) and returns: torch