class_docstr: Completely static backend that mimics part of normal backend functionality
  but restricted to be within torchscript.
code: def transpose(x, axes: List[int]):
      return x.permute(axes)
  
file_path: einops/einops/_torch_specific.py
imports: import warnings
  from typing import Dict, List, Tuple
  import torch
  from einops.einops import TransformRecipe, _reconstruct_from_shape_uncached
label_desc: Use image node_id 2 for calling the TorchJitBackend obj's underlying member method code with example usage: obj.transpose(x, axes) and returns: x