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ggml-hexagon: flash-attention and reduce-sum optimizations (#19141)
* wip
* ggml-hexagon: add vectorized dot product function for FP32 and FP16 accumulation
* ggml-hexagon: optimize dot product functions for FP16 and FP32 with new vectorized implementations
* wip
* ggml-hexagon: optimize hvx_vec_dump_f32_n and hvx_vec_reduce_sum_qf32x2 functions for improved performance
* ggml-hexagon: refactor dot product functions to use a common loading function for improved readability
* optimize vector dot product functions to use unified reduction for improved performance
* wip
* ggml-hexagon: add vectorized dot product function for FP32 and FP16 accumulation
* ggml-hexagon: optimize dot product functions for FP16 and FP32 with new vectorized implementations
* wip
* ggml-hexagon: optimize hvx_vec_dump_f32_n and hvx_vec_reduce_sum_qf32x2 functions for improved performance
* ggml-hexagon: refactor dot product functions to use a common loading function for improved readability
* optimize vector dot product functions to use unified reduction for improved performance
* hexagon: optimize reduce-sum for v75+
* hexagon: always keep row_sums in sf/fp32
* ggml-hexagon: enhance directory checks for HEXAGON_SDK_ROOT and HEXAGON_TOOLS_ROOT
* fix compiling error after rebase
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Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
macOS/iOS: - macOS Apple Silicon (arm64) - macOS Intel (x64) - iOS XCFramework
Linux: - Ubuntu x64 (CPU) - Ubuntu x64 (Vulkan) - Ubuntu s390x (CPU)
Windows: - Windows x64 (CPU) - Windows arm64 (CPU) - Windows x64 (CUDA 12) - CUDA 12.4 DLLs - Windows x64 (CUDA 13) - CUDA 13.1 DLLs - Windows x64 (Vulkan) - Windows x64 (SYCL) - Windows x64 (HIP)
openEuler: - openEuler x86 (310p) - openEuler x86 (910b, ACL Graph) - openEuler aarch64 (310p) - openEuler aarch64 (910b, ACL Graph)
