code: def _move_placeholder_to_front(
      graph_module: torch.fx.GraphModule,
  ) -> None:
      """
      In torch.fx.Graph, placeholder is a special assignment node. If it's not
      executed in the beginning, it could overwrite values computed by upstream
      nodes.
      """
  
      graph = graph_module.graph
      placeholders = []
      first_not_placeholder = None
      for node in graph.nodes:
          if node.op == "placeholder":
              placeholders.append(node)
          if first_not_placeholder is None and node.op != "placeholder":
              first_not_placeholder = node
      if first_not_placeholder is None:
          return
      for placeholder in placeholders:
          first_not_placeholder.prepend(placeholder)
  
imports: import dataclasses
  import importlib
  import logging
  from typing import Any, Dict, Final, List, Mapping, Optional, Sequence, Set, Tuple, Union
  from typing_extensions import TypeAlias
  import torch
  import torch._C
  import torch._ops
  import torch._prims.executor
  import torch.fx
  from torch._subclasses.fake_tensor import FakeTensor
  from torch.fx._compatibility import compatibility
  from torch.fx.passes.fake_tensor_prop import FakeTensorProp
  from torch.fx.passes.operator_support import OperatorSupport
  from torch.fx.passes.tools_common import CALLABLE_NODE_OPS
  from torch.utils import _pytree
label_desc: Use image node_id 6 for calling a global function with example usage: _move_placeholder_to_front(graph_module) without return types