code: def _insert_reshard_gm(
      gm: torch.fx.GraphModule,
      node: Node,
      input_arg: Node,
      input_arg_spec: DTensorSpec,
      desired_spec: DTensorSpec,
  ) -> None:
      """
      Transform the graph for tensor redistribution.
      """
      input_arg_spec.tensor_meta = input_arg.meta["tensor_meta"]
      desired_spec.tensor_meta = input_arg.meta["tensor_meta"]
      input_arg_tensor = input_arg.meta["val"]
  
      # insert reshard operation
      def reshard_fn(local_tensor: torch.Tensor) -> torch.Tensor:
          return redistribute_local_tensor(
              local_tensor,
              input_arg_spec,
              desired_spec,
          )
  
      reshard_gm = make_fx(reshard_fn)(input_arg_tensor)
      reshard_gm_nodes = list(reshard_gm.graph.nodes)
      input_node = reshard_gm_nodes[0]
      with gm.graph.inserting_before(node):
          output_node = gm.graph.graph_copy(
              reshard_gm.graph,
              val_map={
                  input_node: input_arg,
              },
          )
      node.replace_input_with(input_arg, output_node)
  
imports: import copy
  import operator
  from typing import Any, cast, Dict, List, Optional, Sequence, Tuple
  import torch
  from torch._subclasses.fake_tensor import FakeTensor
  from torch.distributed._tensor import DeviceMesh, distribute_tensor, DTensor
  from torch.distributed._tensor.op_schema import DTensorSpec, OpSchema, OutputSharding, OutputSpecType, PlacementStrategy
  from torch.distributed._tensor.placement_types import Placement, Replicate, Shard, TensorMeta
  from torch.distributed._tensor.redistribute import redistribute_local_tensor
  from torch.distributed.tensor.parallel.style import ColwiseParallel, ParallelStyle
  from torch.export import ExportedProgram
  from torch.export.exported_program import ExportGraphSignature
  from torch.fx import GraphModule
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.fx.node import Node
  from torch.fx.passes.infra.pass_base import PassBase, PassResult
  from torch.fx.passes.shape_prop import _extract_tensor_metadata
  from torch.utils import _pytree
label_desc: Use image node_id 12 for calling a global function with example usage: _insert_reshard_gm(gm, node, input_arg, input_arg_spec, desired_spec) and returns: redistribute_local_tensor