code: def remove_identity(gm: torch.fx.GraphModule) -> torch.fx.GraphModule:
      """
      Removes all identity layers from the module.
      """
  
      class IdentityRemover(torch.fx.Transformer):
          def call_module(self, target, args, kwargs):
              if isinstance(self.submodules[target], nn.Identity):
                  assert len(args) == 1
                  return args[0]
              else:
                  return super().call_module(target, args, kwargs)
  
      return IdentityRemover(gm).transform()
  
imports: import copy
  import logging
  from typing import List, Optional
  import torch
  import torch.nn
  from torch._dynamo.utils import detect_fake_mode
  from torch._utils_internal import print_graph
  from torch.fx.experimental.optimization import matches_module_pattern, replace_node_module
  from torch.fx.passes.shape_prop import ShapeProp
  from torch.nn import functional
  from torch.nn.utils.fusion import fuse_conv_bn_eval, fuse_conv_bn_weights
  from ..None import config
  from ..fx_utils import matches_module_function_pattern
  from ..pattern_matcher import init_once_fakemode, PatternMatcherPass, stable_topological_sort
  from ..utils import is_cpu_device
  from .group_batch_fusion import group_batch_fusion_passes
  from .misc_patterns import numpy_compat_normalization
label_desc: Use image node_id 5 for calling a global function with example usage: remove_identity(gm) and returns: IdentityRemover, args, super