class_docstr: Permutes the dimensions of a video.
class_docstr_tok: ["Permutes","the","dimensions","of","a","video","."]
docstr: Args:
      x (torch.Tensor): video tensor whose dimensions are to be permuted.
docstr_tok: ["Args",":","x","(","torch.Tensor",")",":","video","tensor","whose","dimensions","are","to","be","permuted","."]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      """
      Args:
          x (torch.Tensor): video tensor whose dimensions are to be permuted.
      """
      return x.permute(*self._dims)
  
imports: from typing import Callable, Dict, List, Optional, Tuple
  import pytorchvideo.transforms.functional
  import torch
  import torchvision.transforms
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: x