دانلود llama.cpp b7898

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
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)