microsoft / microsoft/TRELLIS.2

AttributeError: 'TritonPersistentCacheAutotuner' object has no attribute 'keys'

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Description

Dear Jianfeng,
Thanks for open-sourcing your excellent work.
I’m running into an error when executing example.py. I also tried installing the stable version of Flex_GEMM, but the issue persists.
Best,

Traceback (most recent call last): File ".../example.py", line ... ... File "/root/xxxx/Software/conda_envs/trellis_2601/lib/python3.10/site-packages/flex_gemm/utils/autotuner.py", line 57, in run key = [_args[key] for key in self.keys if key in _args] AttributeError: 'TritonPersistentCacheAutotuner' object has no attribute 'keys'

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the failure with example.py and inspect flex_gemm/utils/autotuner.py around line 57, where TritonPersistentCacheAutotuner accesses self.keys. Determine why keys is not initialized or available in the installed version, then rerun example.py and confirm the AttributeError no longer occurs.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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