Implement FP32 kleidiai Gemv #26302
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Implement FP32 kleidiai Gemv #26302
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Signed-off-by: Jonathan Clohessy <[email protected]>
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/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline |
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Azure Pipelines successfully started running 4 pipeline(s). |
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/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline |
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Azure Pipelines successfully started running 4 pipeline(s). |
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Description
Implementation of special sgemm path which uses GEMV kernels in cases where M or N are 1
Additionally this pr introduces the usage of a microkernel interface which utilizes typedef's provided by KleidiAI such that we can simplify the code and remove things such as ternary operations for SME1 vs SME2 kernels
Indicative Performance
In Lieu of any production models where gemv was a large contributor of the network. I opted to create a mini model to test which contains thousands of randomized matmul variants. With a distribution of GEMV cases throughout
Using onnxruntime perf test I was able to half the total inference time vs mlas with this model
More Benchmarks to come shortly