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>
This commit is contained in:
nullname
2026-01-30 21:14:20 -08:00
committed by GitHub
co-authored by Max Krasnyansky
parent 3dd95914d0
commit 89f10baad5
7 changed files with 248 additions and 92 deletions
+41
View File
@@ -44,6 +44,45 @@ static inline HVX_Vector hvx_vec_reduce_sum_qf32(HVX_Vector in) {
return hvx_vec_reduce_sum_n_qf32(in, 32);
}
#if __HVX_ARCH__ > 75
static inline HVX_Vector hvx_vec_reduce_sum_f32x2(HVX_Vector in0, HVX_Vector in1) {
HVX_VectorPair sump = Q6_W_vshuff_VVR(in1, in0, 4);
HVX_Vector sum_sf = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sump), Q6_V_hi_W(sump));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 2));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 4));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 8));
sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 16));
return sum_sf;
}
static inline HVX_Vector hvx_vec_reduce_sum_n_f32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // fp32 nbytes
HVX_Vector sum = in, sum_t;
while (width < total) {
sum_t = Q6_V_vror_VR(sum, width); // rotate right
sum = Q6_Vsf_vadd_VsfVsf(sum, sum_t); // elementwise sum
width = width << 1;
}
return sum;
}
#else
static inline HVX_Vector hvx_vec_reduce_sum_f32x2(HVX_Vector in0, HVX_Vector in1) {
HVX_VectorPair sump = Q6_W_vshuff_VVR(in1, in0, 4);
HVX_Vector sum_qf = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sump), Q6_V_hi_W(sump));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 2));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 4));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 8));
sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 16));
return Q6_Vsf_equals_Vqf32(sum_qf);
}
static inline HVX_Vector hvx_vec_reduce_sum_n_f32(HVX_Vector in, unsigned int n) {
unsigned int total = n * 4; // total vec nbytes
unsigned int width = 4; // fp32 nbytes
@@ -57,6 +96,8 @@ static inline HVX_Vector hvx_vec_reduce_sum_n_f32(HVX_Vector in, unsigned int n)
return sum;
}
#endif
static inline HVX_Vector hvx_vec_reduce_sum_f32(HVX_Vector in) {
return hvx_vec_reduce_sum_n_f32(in, 32);
}