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Eddie Yan b7e7a4cb01 [cuDNN][SDPA] Remove TORCH_CUDNN_SDPA_ENABLED=1, enable cuDNN SDPA by default on H100 and 2nd on other archs >= sm80 (#125343) 
Looks like one of the first failures seen is `test_causal_variants_compile_causal_variant_CausalVariant_LOWER_RIGHT_shape0_cuda` when `test_causal_variants_causal_variant_CausalVariant_LOWER_RIGHT_shape0_cuda` passes.

What seems interesting here is that the `torch.compile` version fails while the eager version passes. Not sure what the difference would be here...

Nevertheless, is there a recommended mechanism to skip cuDNN SDPA as a backend for this test? CC @drisspg

Pull Request resolved: https://github.com/pytorch/pytorch/pull/125343
Approved by: https://github.com/Skylion007
2024-06-26 00:49:18 +00:00
..
caffe2
cpp Add GLIBC requirements for libtorch to solve #113124 (#128135) 2024-06-14 21:24:53 +00:00
source [cuDNN][SDPA] Remove TORCH_CUDNN_SDPA_ENABLED=1, enable cuDNN SDPA by default on H100 and 2nd on other archs >= sm80 (#125343) 2024-06-26 00:49:18 +00:00
.gitignore
libtorch.rst
make.bat
Makefile
README.md
requirements.txt

README.md

Please see the Writing documentation section of CONTRIBUTING.md for details on both writing and building the docs.