ikawrakow/ik_llama.cpp
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CUDA: iq3_k_r4 GEMV

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Iwan Kawrakow
2025-05-26 14:49:58 +03:00
parent 395dc935fc
commit 1faa7d977b
1 changed files with 19 additions and 18 deletions
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37
ggml/src/ggml-cuda/iqk_mmvq.cu
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@@ -476,42 +476,43 @@ __device__ __forceinline__ void vec_dot_iq5_ks_q8_1(
__device__ __forceinline__ void vec_dot_iq3_k_r4_q8_1(
const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs, float * result) {
return;
const block_iq5_k_r4 * bq5 = (const block_iq5_k_r4 *)vbq + kbx;
const block_iq3_k_r4 * bq3 = (const block_iq3_k_r4 *)vbq + kbx;
// iqs is 0...28 in steps of 2
const int ib16 = iqs/2;
const float d8 = __low2float(bq8_1[ib16/2].ds);
const int32_t * q8 = (const int *)bq8_1[ib16/2].qs + 4*(ib16%2);
// (8*ib32 + i)%32
// (8*ib32 + i)%8: ib32=0->i, ib32=i
int ib32 = ib16/2;
int is = ib16%2;
int scales;
const uint32_t * scales_l = (const uint32_t *)bq5->scales_l;
const uint32_t * scales_h = (const uint32_t *)bq5->scales_h;
scales = __vsub4(((scales_l[2*(ib32%4)+is] >> 4*(ib32/4)) & 0x0f0f0f0f) | (((scales_h[2*(ib32%2)+is] >> 2*(ib32/2)) & 0x03030303) << 4), 0x20202020);
int scales[2];
const uint32_t * scales_l = (const uint32_t *)bq3->scales_l;
const uint32_t * scales_h = (const uint32_t *)bq3->scales_h;
scales[0] = (((scales_l[2*(ib32%4)+is] >> 4*(ib32/4)) & 0x0f0f0f0f) << 1) | 0x01010101;
scales[1] = (scales_h[is] >> ib32) & 0x01010101;
const int8_t * s8 = (const int8_t *)&scales;
int2 val1;
const int * q4 = (const int *)bq5->qs + 16*ib32;
const int * qh = (const int *)bq5->qh + 4*ib32;
const int * q2 = (const int *)bq3->qs + 8*ib32;
const int * qh = (const int *)bq3->qh + 4*ib32;
int aux32[2];
const uint8_t * aux8 = (const uint8_t *)aux32;
for (int i = 0; i < 4; ++i) {
auto values1 = iq5nl_values + (((bq5->extra[i+4*is] >> ib32) & 1) << 5);
auto values1 = iq3nl_values + (((bq3->extra[i+4*is] >> ib32) & 1) << 3);
int sumi1 = 0;
aux32[0] = ((q4[i+4*is+0] >> 0) & 0x0f0f0f0f) | (((qh[i] >> (2*is+0)) & 0x01010101) << 4);
aux32[1] = ((q4[i+4*is+0] >> 4) & 0x0f0f0f0f) | (((qh[i] >> (2*is+1)) & 0x01010101) << 4);
aux32[0] = ((q2[i+4*is] >> 0) & 0x03030303) | (((qh[i] >> (4*is+0)) & 0x01010101) << 2);
aux32[1] = ((q2[i+4*is] >> 2) & 0x03030303) | (((qh[i] >> (4*is+1)) & 0x01010101) << 2);
val1.x = int_from_table(aux8+0, (const uint8_t *)values1);
val1.y = int_from_table(aux8+4, (const uint8_t *)values1);
sumi1 = ggml_cuda_dp4a(val1.x, q8[0], ggml_cuda_dp4a(val1.y, q8[2], sumi1));
aux32[0] = ((q4[i+4*is+8] >> 0) & 0x0f0f0f0f) | (((qh[i] >> (2*is+4)) & 0x01010101) << 4);
aux32[1] = ((q4[i+4*is+8] >> 4) & 0x0f0f0f0f) | (((qh[i] >> (2*is+5)) & 0x01010101) << 4);
sumi1 = ggml_cuda_dp4a(val1.x, q8[0], ggml_cuda_dp4a(val1.y, q8[1], sumi1));
aux32[0] = ((q2[i+4*is] >> 4) & 0x03030303) | (((qh[i] >> (4*is+2)) & 0x01010101) << 2);
aux32[1] = ((q2[i+4*is] >> 6) & 0x03030303) | (((qh[i] >> (4*is+3)) & 0x01010101) << 2);
val1.x = int_from_table(aux8+0, (const uint8_t *)values1);
val1.y = int_from_table(aux8+4, (const uint8_t *)values1);
sumi1 = ggml_cuda_dp4a(val1.x, q8[1], ggml_cuda_dp4a(val1.y, q8[3], sumi1));
const float d = __half2float(bq5->d[i]) * d8;
result[i] += d * sumi1 * s8[i];
sumi1 = ggml_cuda_dp4a(val1.x, q8[2], ggml_cuda_dp4a(val1.y, q8[3], sumi1));
const float d = __half2float(bq3->d[i]) * d8;
result[i] += d * sumi1 * s8[i] * (s8[i+4] ? -1 : 1);
}
}