code: def call(self, graph_module):
      self.existing_inline_assertions = _get_existing_inline_assertions(
          graph_module, self.range_constraints
      )
  
      # Add runtime asserts for inline constraints
      val = super().call(graph_module)
  
      # Sometimes this pass would return a wrong graph where we have mismatched
      # node names in signature. Before we fix it, let's just skip it.
      if (
          self.counter == 0
          and type(self)
          is _AddRuntimeAssertionsForInlineConstraintsPass
      ):
          return PassResult(graph_module, False)
  
      # Populate the stack trace with dummy vals to respect IR
      for node in val.graph_module.graph.nodes:
          if not node.meta.get("stack_trace", None):
              node.meta["stack_trace"] = "".join(
                  traceback.format_stack(limit=1)
              )
  
      return PassResult(val.graph_module, val.modified)
  
imports: import math
  import operator
  import traceback
  from functools import partial
  from typing import Callable, Dict, List, NamedTuple, Set
  import sympy
  import torch
  import torch.fx
  from torch._export.pass_base import _ExportPassBaseDeprecatedDoNotUse, ProxyValue, PassResult
  from torch.utils._sympy.value_ranges import ValueRanges
label_desc: Use image node_id 5 for calling the _AddRuntimeAssertionsForInlineConstraintsPass obj's underlying member method code with example usage: obj.call(graph_module) and returns: PassResult, PassResult