CUDA: enable Gemma FA for HIP/Pascal #9581
Merged
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes #9580 .
As of right now the CUDA backend reports that for FlashAttention a head size of 256 is only supported for NVIDIA GPUs that are Volta or newer. However, for AMD GPUs and old NVIDIA GPUs a head size of 256 can also be enabled if the vector kernel is used for large batch sizes. The performance won't be great but it will be faster than CPU. This PR adapts the CUDA code to enable this.
Also I noticed that the tests were only testing batch sizes < 8 which meant that some CUDA kernels were not being invoked at all. I changed the batch sizes to cover a wider range.