[user empathy day 2] dynamo raises exception when tracing super(Fraction, cls).__new__(cls)

[masnesral]

🐛 Describe the bug

(While trying to enable torch.compile for https://github.com/nateraw/stable-diffusion-videos). We get an exception when tracing super(Fraction, cls).__new__(cls). The solution during the empathy day was to catch exceptions in _dynamo/trace_rules.py around the if not hashable(obj):

Traceback (most recent call last):
  File "/data/users/slarsen/empathy/test.py", line 28, in <module>
    video_path = get_video_path(pipeline)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 489, in _fn
    return fn(*args, **kwargs)
  File "/data/users/slarsen/empathy/test.py", line 14, in get_video_path
    video_path = pipeline.walk(
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/stable_diffusion_videos/stable_diffusion_pipeline.py", line 867, in walk
    make_video_pyav(
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/stable_diffusion_videos/stable_diffusion_pipeline.py", line 112, in make_video_pyav
    output_filepath = str(output_filepath)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/stable_diffusion_videos/stable_diffusion_pipeline.py", line 116, in resume_in_make_video_pyav
    for img in sorted(Path(frames_or_frame_dir).glob(glob_pattern)):
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/stable_diffusion_videos/stable_diffusion_pipeline.py", line 116, in resume_in_make_video_pyav
    for img in sorted(Path(frames_or_frame_dir).glob(glob_pattern)):
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/stable_diffusion_videos/stable_diffusion_pipeline.py", line 116, in resume_in_make_video_pyav
    for img in sorted(Path(frames_or_frame_dir).glob(glob_pattern)):
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/stable_diffusion_videos/stable_diffusion_pipeline.py", line 140, in resume_in_make_video_pyav
    write_video(output_filepath, frames, fps=fps, options={"crf": "10", "pix_fmt": "yuv420p"})
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torchvision/io/video.py", line 90, in write_video
    with av.open(filename, mode="w") as container:
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torchvision/io/video.py", line 91, in resume_in_write_video
    stream = container.add_stream(video_codec, rate=fps)
  File "av/container/output.pyx", line 107, in av.container.output.OutputContainer.add_stream
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/fractions.py", line 93, in __new__
    self = super(Fraction, cls).__new__(cls)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 655, in catch_errors
    return callback(frame, cache_entry, hooks, frame_state)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 727, in _convert_frame
    result = inner_convert(frame, cache_entry, hooks, frame_state)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 383, in _convert_frame_assert
    compiled_product = _compile(
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 665, in _compile
    raise InternalTorchDynamoError(str(e)).with_traceback(
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 646, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 244, in time_wrapper
    r = func(*args, **kwargs)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 562, in compile_inner
    out_code = transform_code_object(code, transform)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1033, in transform_code_object
    transformations(instructions, code_options)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 151, in _fn
    return fn(*args, **kwargs)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 527, in transform
    tracer.run()
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2128, in run
    super().run()
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 818, in run
    and self.step()
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 781, in step
    getattr(self, inst.opname)(inst)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 887, in STORE_FAST
    loaded_vt = loaded_vt.rename(self, name)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 90, in realize_and_forward
    return getattr(self.realize(), name)(*args, **kwargs)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 56, in realize
    self._cache.realize(self.parents_tracker)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 22, in realize
    self.vt = VariableBuilder(tx, self.source)(self.value)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 245, in __call__
    vt = self._wrap(value).clone(**self.options())
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 708, in _wrap
    elif trace_rules.lookup(value) is not None:
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/trace_rules.py", line 2798, in lookup
    if not hashable(obj):
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 420, in hashable
    hash(x)
  File "/home/slarsen/.conda/envs/empathy/lib/python3.10/fractions.py", line 646, in __hash__
    dinv = pow(self._denominator, -1, _PyHASH_MODULUS)
torch._dynamo.exc.InternalTorchDynamoError: 'Fraction' object has no attribute '_denominator'

from user code:
   File "/home/slarsen/.conda/envs/empathy/lib/python3.10/fractions.py", line 93, in resume_in___new__
    self = super(Fraction, cls).__new__(cls)

Versions

PyTorch version: 2.2.2+cu121

cc @ezyang @msaroufim @bdhirsh @anijain2305 @chauhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng