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c9c84ae3ee
Update cudnn_frontend submodule to 1.6.1 to patch some minor bugfixes and compiler fixes. # Bug fix * Fixed an issue where custom dropout mask was not correctly applied. * Added -fvisibility=hidden for the pip wheels generated to avoid symbol conflicts with other modules that use cudnn frontend. * Fixed an issue in sdpa operation which when deserialized will lead to numerical mismatches. * Fixed an issue in sdpa fp8 fprop operation (in inference mode). # Samples * Added a new sample to showcase how a custom dropout mask can be applied to a sdpa operation. * Added a sample to showcase convolutions on large (c * d * h * w > 2 **31) tensors. Pull Request resolved: https://github.com/pytorch/pytorch/pull/134007 Approved by: https://github.com/eqy
This folder contains vendored copies of third-party libraries that we use.