code: def _convert_node_to_placeholder(graph, node, inps):
      if node.op == "output" or node.op == "placeholder":
          return False
  
      if is_load_tensor_node(node):
          return False
  
      concrete_val = node.meta.get("concrete_value", None)
  
      if isinstance(concrete_val, torch.Tensor):
          node.op = "placeholder"
          node.target = node.name
          node.args = ()
          node.kwargs = {}
  
          inps.append(concrete_val)
          return True
  
      elif concrete_val is None:
          return False
  
      elif concrete_val is is_tuple:
          r = False
          for tuple_user in list(node.users):
              r = (
                  _convert_node_to_placeholder(graph, tuple_user, inps)
                  or r
              )
          # NB: We must not erase the node at this point, because
          # we are iterating over the nodes and this would change
          # the iteration order
          # graph.erase_node(node)
          return r
  
      elif isinstance(concrete_val, LoadTensorMeta):
          node.op = "call_function"
          node.target = torch.ops.debugprims.load_tensor.default
          node.args = (
              os.path.join("eager", node.name),
              concrete_val.size,
              concrete_val.stride,
          )
          node.kwargs = {
              "device": concrete_val.device,
              "dtype": concrete_val.dtype,
          }
          return True
  
      return False
  
imports: import torch.fx
  import copy
  import torch
  import math
  import sys
  from typing import Callable, List
  from functools import wraps, partial
  from dataclasses import dataclass
  from .compile_utils import get_placeholders, get_outputs
  from torch.utils._content_store import ContentStoreWriter
  from torch.hub import tqdm
  from torch.multiprocessing.reductions import StorageWeakRef
  import os
label_desc: Use image node_id 2 for calling a global function with example usage: _convert_node_to_placeholder(graph, node, inps) and returns: False, False, False, True, False, r, True