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"Why store the upsampling result in images:
-Images support random access from a dataloader. A video file, for example, can typically only be accessed sequentally when we try to avoid loading the who…
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Hi there! Thank you for your great work, very interesting read :)
I saw that your repo also supports arbitrary timestamp interpolation. However, to use this feature, I assume that I would have to t…
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Dashboard to track the performance of torchinductor on CPU.
cc @ezyang @msaroufim @wconstab @bdhirsh @anijain2305 @zou3519 @soumith @ngimel @chauhang
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I have encountered a regression when using the latest commit c451d56744e72e9659f07b1acd9286087bd58078 of Intel Triton. This issue was not present with the older release v3.0.0b2 from https://github.co…
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There's small nuances in how the dynamo runners benchmark models that can make certain torchbench models fail
Some models might be explicitly skipped, others might fail because of some dtype conve…
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Updated (October 23)
- 14K github models (72%) (https://github.com/jansel/pytorch-jit-paritybench)
- [x] #111691
- [ ] #111693
- [ ] 153 errors like: AssertionError: Failed to produce a gr…
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1. Use metadata.py to query these metadata
2. In CI, check each model has these metadata
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## Summary of Contributions (9th Feb)
1) **Improve the number of models in TorchBench that work with Dynamo as a tracer:** These passing rates are now comparable to those from torch.compile using I…
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TorchBench CI has detected a performance signal or runtime regression.
Base PyTorch commit: 0200b1106c4fe80ea0884181dc8d649ef6078ea3
Affected PyTorch commit: 806d1a871ddfd2d38e1791489892009feaec842…