code: def get_depth(node, depth_map):
      if node in depth_map:
          return depth_map[node]
  
      # Base case
      if node.op == "placeholder":
          depth_map[node] = 0
          return depth_map[node]
  
      # Handle output node
      if node.op == "output":
          args = node.args[0]
          for arg in args:
              if isinstance(arg, torch.fx.node.Node):
                  get_depth(arg, depth_map)
          return
  
      # Get the depth of args and set the depth of this node
      arg_depths = [
          get_depth(arg, depth_map)
          for arg in node.all_input_nodes
          if isinstance(arg, torch.fx.node.Node)
      ]
      # factory ops like full, rand might not have any input args
      if len(arg_depths) == 0:
          arg_depths = [0]
      depth_map[node] = max(arg_depths) + 1
      return depth_map[node]
  
imports: from torch.fx.experimental.proxy_tensor import is_sym_node, py_sym_types
  from torch.fx.experimental.sym_node import magic_methods, method_to_operator
  from torch.fx.experimental.symbolic_shapes import hint_int, free_symbols, is_symbol_binding_fx_node, find_symbol_binding_fx_nodes
  import torch
  import torch.fx
  import operator
  import math
  import torch.utils._pytree
  import copy
  import os
  import itertools
  import sympy
  from collections import defaultdict
  from torch.fx.passes import graph_drawer
  from typing import List, Optional, Set, Tuple, Union
  from .compile_utils import fx_graph_cse, get_aten_target
  from .None import config
  import functools
label_desc: Use image node_id 18 for calling a global function with example usage: get_depth(node, depth_map) and returns: depth_map, depth_map, depth_map