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authorIwan Kawrakow <iwan.kawrakow@gmail.com>2024-07-30 11:22:08 +0300
committerKawrakow <48489457+ikawrakow@users.noreply.github.com>2024-08-01 09:38:06 +0200
commit69842c6ad805c7de8f0416e52a1f12d3357023d9 (patch)
tree95396994ae5414881fc2e5a7543b22c668f82cc9
parentf6813cac0e79837830967b4d89d3e744a0ddc6fe (diff)
iq5_k: CUDA dot product finally works
-rw-r--r--ggml/src/ggml-cuda/iqk_mmvq.cu90
1 files changed, 23 insertions, 67 deletions
diff --git a/ggml/src/ggml-cuda/iqk_mmvq.cu b/ggml/src/ggml-cuda/iqk_mmvq.cu
index d33f4804..7d54fdd2 100644
--- a/ggml/src/ggml-cuda/iqk_mmvq.cu
+++ b/ggml/src/ggml-cuda/iqk_mmvq.cu
@@ -1,4 +1,3 @@
-//#include "common.cuh"
#include "iqk_mmvq.cuh"
typedef float (*vec_dot_q_cuda_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs);
@@ -204,21 +203,26 @@ __device__ __forceinline__ float vec_dot_iq4_k_q8_1(
#define VDR_IQ5_K_Q8_1_MMVQ 4
#define VDR_IQ5_K_Q8_1_MMQ 4
-static __device__ __forceinline__ float vec_dot_iq5_k_q8_1(
+__device__ __forceinline__ int int_from_table(const uint8_t * a8, const uint8_t * values) {
+ uint16_t v1 = values[a8[0]] | (values[a8[1]] << 8);
+ uint16_t v2 = values[a8[2]] | (values[a8[3]] << 8);
+ return v1 | (v2 << 16);
+}
+
+__device__ __forceinline__ float vec_dot_iq5_k_q8_1(
const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
+
const block_iq5_k * bq5 = (const block_iq5_k *) vbq + kbx;
const uint8_t * all_values = (const uint8_t *)iq5nl_values;
- // iqs is 0...28
- const int il = iqs/2; // 0...14
- const int is = iqs%2; // 0 or 1
- const int ib32 = 2*(il/4); // 0, 2, 4, 6
- const int32_t * q8_1 = (const int *)bq8_1[ib32+0].qs + 4*is;
- const int32_t * q8_2 = (const int *)bq8_1[ib32+1].qs + 4*is;
- const uint32_t * q4 = (const uint32_t *)bq5->qs + 8*(ib32/2) + 4*is;
- const uint32_t * qh = (const uint32_t *)bq5->qh + 4*is;
- const uint16_t extra = bq5->extra >> (2*ib32 + is);
+ int i4 = iqs/4; // 0...7. Blocks of 16 index is 4*(i4/2) + (i4%2) + (0 and 2)
+
+ const int32_t * q8_1 = (const int *)bq8_1[2*(i4/2)+0].qs + 4*(i4%2);
+ const int32_t * q8_2 = (const int *)bq8_1[2*(i4/2)+1].qs + 4*(i4%2);
+ const uint32_t * q4 = (const uint32_t *)bq5->qs + 8*(i4/2) + 4*(i4%2);
+ const uint32_t * qh = (const uint32_t *)bq5->qh + 4*(i4%2);
+ const uint16_t extra = bq5->extra >> (4*(i4/2) + (i4%2));
const uint8_t * values1 = all_values + 32*(extra & 1);
const uint8_t * values2 = all_values + 8*(extra & 4);
uint32_t aux32[2];
@@ -226,74 +230,26 @@ static __device__ __forceinline__ float vec_dot_iq5_k_q8_1(
int v1, v2;
int sumi1 = 0, sumi2 = 0;
for (int j = 0; j < 4; ++j) {
- uint32_t h = qh[j] >> ib32;
+ uint32_t h = qh[j] >> 2*(i4/2);
aux32[0] = ((q4[j] >> 0) & 0x0f0f0f0f) | ((h << 4) & 0x10101010);
aux32[1] = ((q4[j] >> 4) & 0x0f0f0f0f) | ((h << 3) & 0x10101010);
- v1 = values1[a8[0]] | (values1[a8[1]] << 8) | (values1[a8[2]] << 16) | (values1[a8[3]] << 24);
- v2 = values2[a8[4]] | (values2[a8[5]] << 8) | (values2[a8[6]] << 16) | (values2[a8[7]] << 24);
+ v1 = int_from_table(a8+0, values1);
+ v2 = int_from_table(a8+4, values2);
sumi1 = ggml_cuda_dp4a(v1, q8_1[j], sumi1);
sumi2 = ggml_cuda_dp4a(v2, q8_2[j], sumi2);
}
- // Blocks of 16: 2*ib32 + is, 2*ib32 + is + 2
const float d5 = __half2float(bq5->d);
- const uint8_t sh = bq5->scales_h[ib32/2] >> 2*(is%2);
- const int ls1 = (((bq5->scales_l[ib32+0] >> 4*is) & 0xf) | ((sh << 4) & 0x30)) - 32;
- const int ls2 = (((bq5->scales_l[ib32+1] >> 4*is) & 0xf) | ((sh << 0) & 0x30)) - 32;
- return d5 * (__low2float(bq8_1[ib32+0].ds) * sumi1 * ls1 + __low2float(bq8_1[ib32+1].ds) * sumi2 * ls2);
+ const uint8_t sh = bq5->scales_h[i4/2] >> 2*(i4%2);
+ const int ls1 = (((bq5->scales_l[2*(i4/2)+0] >> 4*(i4%2)) & 0xf) | ((sh << 4) & 0x30)) - 32;
+ const int ls2 = (((bq5->scales_l[2*(i4/2)+1] >> 4*(i4%2)) & 0xf) | ((sh << 0) & 0x30)) - 32;
+ return d5 * (__low2float(bq8_1[2*(i4/2)+0].ds) * sumi1 * ls1 + __low2float(bq8_1[2*(i4/2)+1].ds) * sumi2 * ls2);
}
-//#define VDR_IQ5_K_Q8_1_MMVQ 2
-//#define VDR_IQ5_K_Q8_1_MMQ 8
-//
-//static __device__ __forceinline__ float vec_dot_iq5_k_q8_1(
-// const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
-//
-// const block_iq5_k * bq5 = (const block_iq5_k *) vbq + kbx;
-//
-// // iqs is 0...28
-// // iqs = 0...7 -> bq8_offset = 0, iqs = 8...15 -> bq8_offset = 2, iqs = 16...23 -> bq8_offset = 4, iqs = 24...31 -> bq8_offset = 6
-// // bq8_offset = 0 -> 0...3, bq8_offset = 2 -> 8...11, bq8_offset = 4 -> 16...19, bq8_offset = 6 -> 24...27
-// const int bq8_offset = 2*((iqs/2)/4);
-// const int32_t * q8_1 = (const int *)bq8_1[bq8_offset+0].qs;
-// const int32_t * q8_2 = (const int *)bq8_1[bq8_offset+1].qs;
-// const uint32_t * q4 = (const uint32_t *)bq5->qs + 4*bq8_offset + ((iqs/2)%4);
-// const uint32_t * qh = (const uint32_t *)bq5->qh + ((iqs/2)%4);
-// const uint16_t extra = bq5->extra >> 2*bq8_offset;
-// const float d5 = __half2float(bq5->d);
-//
-// const uint8_t * values1;
-// const uint8_t * values2;
-// uint32_t indx[2];
-// const uint8_t * a8 = (const uint8_t *)indx;
-// int v1, v2;
-//
-// indx[0] = ((q4[0] >> 0) & 0x0f0f0f0f) | (((qh[0] >> (bq8_offset+0)) << 4) & 0x10101010);
-// indx[1] = ((q4[0] >> 4) & 0x0f0f0f0f) | (((qh[0] >> (bq8_offset+1)) << 4) & 0x10101010);
-// values1 = (const uint8_t *)iq5nl_values + 32*(extra & 1);
-// values2 = (const uint8_t *)iq5nl_values + 8*(extra & 4);
-// v1 = values1[a8[0]] | (values1[a8[1]] << 8) | (values1[a8[2]] << 16) | (values1[a8[3]] << 24);
-// v2 = values2[a8[4]] | (values2[a8[5]] << 8) | (values2[a8[6]] << 16) | (values2[a8[7]] << 24);
-// int s1 = ggml_cuda_dp4a(v1, q8_1[0], 0) * (((bq5->scales_l[bq8_offset+0] & 0xf) | ((bq5->scales_h[bq8_offset/2] << 4) & 0x30)) - 32);
-// int s2 = ggml_cuda_dp4a(v2, q8_2[0], 0) * (((bq5->scales_l[bq8_offset+1] & 0xf) | ((bq5->scales_h[bq8_offset/2] >> 0) & 0x30)) - 32);
-//
-// indx[0] = ((q4[4] >> 0) & 0x0f0f0f0f) | (((qh[4] >> (bq8_offset+0)) << 4) & 0x10101010);
-// indx[1] = ((q4[4] >> 4) & 0x0f0f0f0f) | (((qh[4] >> (bq8_offset+1)) << 4) & 0x10101010);
-// values1 = (const uint8_t *)iq5nl_values + 16*(extra & 2);
-// values2 = (const uint8_t *)iq5nl_values + 4*(extra & 8);
-// v1 = values1[a8[0]] | (values1[a8[1]] << 8) | (values1[a8[2]] << 16) | (values1[a8[3]] << 24);
-// v2 = values2[a8[4]] | (values2[a8[5]] << 8) | (values2[a8[6]] << 16) | (values2[a8[7]] << 24);
-// int s3 = ggml_cuda_dp4a(v1, q8_1[4], 0) * (((bq5->scales_l[bq8_offset+0] >> 4) | ((bq5->scales_h[bq8_offset/2] << 2) & 0x30)) - 32);
-// int s4 = ggml_cuda_dp4a(v2, q8_2[4], 0) * (((bq5->scales_l[bq8_offset+1] >> 4) | ((bq5->scales_h[bq8_offset/2] >> 2) & 0x30)) - 32);
-//
-// return d5*(__low2float(bq8_1[bq8_offset+0].ds) * (s1 + s3) + __low2float(bq8_1[bq8_offset+1].ds) * (s2 + s4));
-//
-//}
-
#define VDR_IQ2_K_Q8_1_MMVQ 4
#define VDR_IQ2_K_Q8_1_MMQ 4
// TODO
-static __device__ __forceinline__ float vec_dot_iq2_k_q8_1(
+__device__ __forceinline__ float vec_dot_iq2_k_q8_1(
const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
return 0;
//