code: def convert_frame(compiler_fn: CompilerFn, hooks: Hooks):
      """Try to convert a frame into an FX graph, if error leave frame unmodified"""
      inner_convert = convert_frame_assert(compiler_fn, one_graph=False)
  
      def _convert_frame(
          frame: types.FrameType, cache_entry, hooks: Hooks, frame_state
      ):
          counters["frames"]["total"] += 1
          try:
              result = inner_convert(
                  frame, cache_entry, hooks, frame_state
              )
              counters["frames"]["ok"] += 1
              return result
          except Exception as e:
              # These two exception types are "soft" failure, in the sense that
              # we know this is due to something we didn't implement all the
              # way, scare the user less about it.  That being said, if you
              # are trying to understand why a graph break happened, it's still
              # important to have this information, so offer it.
              #
              # NB: NotImplementedError used to be on this list, but actually
              # it is impossible for it to reach here, as it is converted into
              # InternalTorchDynamoError.  This behavior seemed reasonable
              # to me (ezyang, Aug 2023) so I kept it, but maybe at some point
              # someone wanted these to also get suppressed.  If so, you'll
              # need to make these exceptions not get wrapped
  
              # We intentionally don't want to suppress error here.
              if isinstance(e, UncapturedHigherOrderOpError):
                  raise
  
              soft_fail = isinstance(e, Unsupported)
              if not config.suppress_errors and not soft_fail:
                  raise
  
              # Suppress the error.  NB: It's very important to do the
              # suppression logging HERE, where the actual suppression
              # happens. Previously it was somewhere else and so it was
              # possible to accidentally not log at all.
              record_filename = getattr(e, "record_filename", None)
              code = frame.f_code
              error_msg = format_error_msg(
                  e, code, record_filename, frame
              )
  
              if soft_fail:
                  log.info(error_msg, exc_info=True)
              else:
                  log.warning(error_msg, exc_info=True)
          return None
  
      _convert_frame._torchdynamo_orig_callable = compiler_fn  # type: ignore[attr-defined]
      _convert_frame._clone_with_backend = lambda backend: convert_frame(backend, hooks)  # type: ignore[attr-defined]
      return _convert_frame
  
imports: import collections
  import functools
  import itertools
  import logging
  import os
  import random
  import types
  import typing
  import weakref
  from typing import Any, Callable, Dict, List, Optional, Set
  import torch
  import torch._logging
  from torch._guards import compile_context, CompileContext, CompileId, tracing
  from torch._utils_internal import signpost_event
  from torch.fx.experimental.symbolic_shapes import ConstraintViolationError, GuardOnDataDependentSymNode
  from torch.fx.graph_module import _forward_from_src
  from torch.utils._traceback import format_traceback_short
  from .None import config, exc
  from .backends.registry import CompilerFn
  from .bytecode_analysis import remove_dead_code, remove_pointless_jumps
  from .bytecode_transformation import check_inst_exn_tab_entries_valid, Instruction, is_generator, propagate_inst_exn_table_entries, transform_code_object
  from .cache_size import CacheSizeRelevantForFrame, compute_cache_size, exceeds_cache_size_limit, is_recompilation
  from .eval_frame import always_optimize_code_objects, skip_code, TorchPatcher
  from .exc import augment_exc_message, BackendCompilerFailed, format_error_msg, InternalTorchDynamoError, TorchRuntimeError, UncapturedHigherOrderOpError, unimplemented, Unsupported
  from .guards import CheckFunctionManager, get_and_maybe_log_recompilation_reason, GuardedCode
  from .hooks import Hooks
  from .output_graph import OutputGraph
  from .replay_record import ExecutionRecord
  from .symbolic_convert import InstructionTranslator, SpeculationLog
  from .trace_rules import is_numpy
  from .types import BytecodeHook
  from .utils import CleanupManager, CompilationMetrics, counters, cprofile_wrapper, dynamo_timed, format_bytecode, frame_phase_timing, gen_record_file_name, increment_frame, is_namedtuple, istype, LazyString, orig_code_map, record_compilation_metrics, reset_graph_break_dup_checker, setup_compile_debug, troubleshooting_url, write_record_to_file
  from collections import OrderedDict
  from torch.utils.hooks import RemovableHandle
label_desc: Use image node_id 9 for calling a global function with example usage: convert_frame(compiler_fn, hooks) and returns: _convert_frame, None, result