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With robustbufferaccess disabled, this shader was showing OOB stores. There is a bounds check in the code, but the workgrouop dimensions were reversed vs CUDA and it was running the wrong number of threads. So fix the workgroup dimensions and disable robustness for this pipeline.

With robustbufferaccess disabled, this shader was showing OOB stores. There
is a bounds check in the code, but the workgrouop dimensions were reversed vs
CUDA and it was running the wrong number of threads. So fix the workgroup
dimensions and disable robustness for this pipeline.
@jeffbolznv jeffbolznv requested a review from 0cc4m January 21, 2025 04:20
@github-actions github-actions bot added Vulkan Issues specific to the Vulkan backend ggml changes relating to the ggml tensor library for machine learning labels Jan 21, 2025
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Interesting bug I introduced when I ported this shader from CUDA, and funny that it worked anyways, on most devices.

@0cc4m 0cc4m merged commit 5245729 into ggml-org:master Jan 23, 2025
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anagri pushed a commit to BodhiSearch/llama.cpp that referenced this pull request Jan 26, 2025
With robustbufferaccess disabled, this shader was showing OOB stores. There
is a bounds check in the code, but the workgrouop dimensions were reversed vs
CUDA and it was running the wrong number of threads. So fix the workgroup
dimensions and disable robustness for this pipeline.
arthw pushed a commit to arthw/llama.cpp that referenced this pull request Feb 26, 2025
With robustbufferaccess disabled, this shader was showing OOB stores. There
is a bounds check in the code, but the workgrouop dimensions were reversed vs
CUDA and it was running the wrong number of threads. So fix the workgroup
dimensions and disable robustness for this pipeline.
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