code: def rearrange(x: torch.Tensor, pattern: str) -> torch.Tensor:
      """
      Rearranges a tensor by permuting its inputs based on a pattern
      provided as input
  
      Example:
  
          rearrange(torch.randn(size=(2, 3, 4, 5, 6)), 'n d h w c -> n c d h w').shape
          > torch.Size([2, 6, 3, 4, 5])
      """
      before, after = pattern.split("->")
      before = before.strip().split(" ")
      after = after.strip().split(" ")
      after = [before.index(a) for a in after]
      assert len(after) == len(before)
      return x.permute(after)
  
imports: import logging
  import math
  import warnings
  from enum import Enum
  from typing import Dict, List, Tuple
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _ntuple
  from torch.utils.checkpoint import checkpoint
  from vissl.data.collators.collator_helper import MultiDimensionalTensor
  from vissl.utils.activation_checkpointing import checkpoint_trunk
  from vissl.utils.env import get_machine_local_and_dist_rank
  from vissl.utils.misc import is_apex_available
label_desc: Use image node_id 10 for calling a global function with example usage: rearrange(x, pattern) and returns: x