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ggml : loop tiling optimizations for scalar path (ggml/898)

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Apply a loop tiling technique to the generic path, which provides
performance upside for ISAs with enough registers to take advantage
of it. Also helps the compiler optimize this path.
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Mahesh Madhav 2024-07-25 00:54:08 -07:00 committed by Georgi Gerganov
parent 9f77d899b7
commit a05ca93697
1 changed files with 22 additions and 10 deletions
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32
ggml/src/ggml-quants.c
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@ -4190,15 +4190,18 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
sumf = hsum_float_4x4(acc_0, acc_1, acc_2, acc_3); sumf = hsum_float_4x4(acc_0, acc_1, acc_2, acc_3);
#endif #endif
for (; ib < nb; ++ib) { for (; ib < nb; ++ib) {
int sumi = 0; int sumi0 = 0;
int sumi1 = 0;
for (int j = 0; j < qk/2; ++j) { for (int j = 0; j < qk/2; ++j) {
const int v0 = (x[ib].qs[j] & 0x0F) - 8; const int v0 = (x[ib].qs[j] & 0x0F) - 8;
const int v1 = (x[ib].qs[j] >> 4) - 8; const int v1 = (x[ib].qs[j] >> 4) - 8;
sumi += (v0 * y[ib].qs[j]) + (v1 * y[ib].qs[j + qk/2]); sumi0 += (v0 * y[ib].qs[j]);
sumi1 += (v1 * y[ib].qs[j + qk/2]);
} }
int sumi = sumi0 + sumi1;
sumf += sumi*GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d); sumf += sumi*GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d);
} }
@ -4474,15 +4477,18 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
sumf = hsum_float_8(acc) + summs; sumf = hsum_float_8(acc) + summs;
#endif #endif
for (; ib < nb; ++ib) { for (; ib < nb; ++ib) {
int sumi = 0; int sumi0 = 0
int sumi1 = 0;
for (int j = 0; j < qk/2; ++j) { for (int j = 0; j < qk/2; ++j) {
const int v0 = (x[ib].qs[j] & 0x0F); const int v0 = (x[ib].qs[j] & 0x0F);
const int v1 = (x[ib].qs[j] >> 4); const int v1 = (x[ib].qs[j] >> 4);
sumi += (v0 * y[ib].qs[j]) + (v1 * y[ib].qs[j + qk/2]); sumi0 += (v0 * y[ib].qs[j]);
sumi1 += (v1 * y[ib].qs[j + qk/2]);
} }
int sumi = sumi0 + sumi1;
sumf += (GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d))*sumi + GGML_FP16_TO_FP32(x[ib].m)*GGML_FP16_TO_FP32(y[ib].s); sumf += (GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d))*sumi + GGML_FP16_TO_FP32(x[ib].m)*GGML_FP16_TO_FP32(y[ib].s);
} }
@ -4823,18 +4829,21 @@ void ggml_vec_dot_q5_0_q8_0(int n, float * restrict s, size_t bs, const void * r
uint32_t qh; uint32_t qh;
memcpy(&qh, x[ib].qh, sizeof(qh)); memcpy(&qh, x[ib].qh, sizeof(qh));
int sumi = 0; int sumi0 = 0;
int sumi1 = 0;
for (int j = 0; j < qk/2; ++j) { for (int j = 0; j < qk/2; ++j) {
const uint8_t xh_0 = ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4; const uint8_t xh_0 = ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4;
const uint8_t xh_1 = ((qh & (1u << (j + 16))) >> (j + 12)); const uint8_t xh_1 = ((qh & (1u << (j + 16))) >> (j + 12));
const int32_t x0 = ((x[ib].qs[j] & 0x0F) | xh_0) - 16; const int32_t x0 = (int8_t)(((x[ib].qs[j] & 0x0F) | xh_0) - 16);
const int32_t x1 = ((x[ib].qs[j] >> 4) | xh_1) - 16; const int32_t x1 = (int8_t)(((x[ib].qs[j] >> 4) | xh_1) - 16);
sumi += (x0 * y[ib].qs[j]) + (x1 * y[ib].qs[j + qk/2]); sumi0 += (x0 * y[ib].qs[j]);
sumi1 += (x1 * y[ib].qs[j + qk/2]);
} }
int sumi = sumi0 + sumi1;
sumf += (GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d)) * sumi; sumf += (GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d)) * sumi;
} }
@ -5194,7 +5203,8 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r
uint32_t qh; uint32_t qh;
memcpy(&qh, x[ib].qh, sizeof(qh)); memcpy(&qh, x[ib].qh, sizeof(qh));
int sumi = 0; int sumi0 = 0;
int sumi1 = 0;
for (int j = 0; j < qk/2; ++j) { for (int j = 0; j < qk/2; ++j) {
const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10; const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10;
@ -5203,9 +5213,11 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r
const int32_t x0 = (x[ib].qs[j] & 0xF) | xh_0; const int32_t x0 = (x[ib].qs[j] & 0xF) | xh_0;
const int32_t x1 = (x[ib].qs[j] >> 4) | xh_1; const int32_t x1 = (x[ib].qs[j] >> 4) | xh_1;
sumi += (x0 * y[ib].qs[j]) + (x1 * y[ib].qs[j + qk/2]); sumi0 += (x0 * y[ib].qs[j]);
sumi1 += (x1 * y[ib].qs[j + qk/2]);
} }
int sumi = sumi0 + sumi1;
sumf += (GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d))*sumi + GGML_FP16_TO_FP32(x[ib].m)*GGML_FP16_TO_FP32(y[ib].s); sumf += (GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d))*sumi + GGML_FP16_TO_FP32(x[ib].m)*GGML_FP16_TO_FP32(y[ib].s);
} }