LoRA: Implementing kernels using CUBE computation unit#432
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This pull request introduces new LoRA operations, sgemmc_expand and sgemmc_shrink, to the NPU kernel library, including the necessary host-side tiling logic and PyTorch extension bindings. The review identified several critical issues in the kernel implementations, specifically regarding incorrect core-to-token mapping, missing tensor offsets for input and weight data, and improper indexing during data copy operations. Additionally, a potential division-by-zero vulnerability was highlighted in the host-side tiling calculation.
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Implementing kernels using CUBE computation unit instead of using VECTOR computation unit
Update for PR #384