yelite opened a new pull request, #13255: URL: https://github.com/apache/tvm/pull/13255
This PR adds features to the `python/tvm/meta_schedule/testing/torchbench/run.py` - Integrate with the TVM PyTorch integration to handle boolean tensor and unaligned memory. - Deduplicate collected tuning tasks to prevent thousands of tasks created by hundreds of subgraphs with similar structure. - Add option to cast model to float32, which are more stable numerically than float16 and prevents inaccurate result from many models. - Add option to choose search strategy in MetaSchedule. - Inspect output error if the actual output doesn't match the expectation. Also save the actual output and expected output for further analysis if needed. - Save subgraphs and their example input for debug purpose. - Print MetaSchedule profiling information at the end of execution. - Detach PyTorch tensor before exporting to dlpack. - Fix the sys path to avoid conflict with the `benchmarks` package installed by TorchBench dependency. - Trim all command line args passed in, in order to prevent breaking some TorchBench model that depends on args. - Empty cuda cache before starting the actual benchmark. cc: @junrushao @zxybazh -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
