code: def check_graph_breaks(actual_csv, expected_csv, expected_filename):
      failed = []
      improved = []
  
      for model in actual_csv["name"]:
          graph_breaks = get_field(actual_csv, model, "graph_breaks")
          expected_graph_breaks = get_field(
              expected_csv, model, "graph_breaks"
          )
  
          if graph_breaks == expected_graph_breaks:
              status = "PASS"
              print(f"{model:34}  {status}")
              continue
  
          elif graph_breaks > expected_graph_breaks:
              status = "FAIL:"
              failed.append(model)
          elif graph_breaks < expected_graph_breaks:
              status = "IMPROVED:"
              improved.append(model)
          print(
              f"{model:34}  {status:9} graph_breaks={graph_breaks}, expected={expected_graph_breaks}"
          )
  
      msg = ""
      if failed or improved:
          if failed:
              msg += textwrap.dedent(
                  f"""
              Error: {len(failed)} models have new dynamo graph breaks:
                  {' '.join(failed)}
  
              """
              )
          if improved:
              msg += textwrap.dedent(
                  f"""
              Improvement: {len(improved)} models have fixed dynamo graph breaks:
                  {' '.join(improved)}
  
              """
              )
          sha = os.getenv("SHA1", "{your CI commit sha}")
          msg += textwrap.dedent(
              f"""
          If this change is expected, you can update `{expected_filename}` to reflect the new baseline.
          from pytorch/pytorch root, run
          `python benchmarks/dynamo/ci_expected_accuracy/update_expected.py {sha}`
          and then `git add` the resulting local changes to expected CSVs to your commit.
          """
          )
      return failed or improved, msg
  
file_path: pytorch/benchmarks/dynamo/check_graph_breaks.py
imports: import argparse
  import os
  import sys
  import textwrap
  import pandas
label_desc: Use image node_id 2 for calling a global function with example usage: check_graph_breaks(actual_csv, expected_csv, expected_filename) and returns: unknown,  msg