class_docstr: Completely static backend that mimics part of normal backend functionality
  but restricted to be within torchscript.
code: def add_axes(x, n_axes: int, pos2len: Dict[int, int]):
      repeats = [-1] * n_axes
      for axis_position, axis_length in pos2len.items():
          x = torch.unsqueeze(x, axis_position)
          repeats[axis_position] = axis_length
      return x.expand(repeats)
  
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 5 for calling the TorchJitBackend obj's underlying member method code with example usage: obj.add_axes(x, n_axes, pos2len) and returns: x