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Merged
merged 6 commits into from
Aug 21, 2025
Merged

CUDA: faster IQ3_K, IQ3_KS, IQ3_K_R4 #714

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2078f26
Use bperm trick for iq3_ks - 5% PP performance gain
Aug 21, 2025
3eaacf2
Use bperm trick for iq3_k -> 5% PP performance gain
Aug 21, 2025
fa9e69f
Use bperm trick for iq3_k -> 8% PP performance gain
Aug 21, 2025
770bf5f
Use bperm trick for iq3_k_r4 gemv -> ~5% faster
Aug 21, 2025
91b20d4
Use bperm trick for iq3_k gemv -> ~3% faster
Aug 21, 2025
90379f3
Use bperm trick for iq3_k gemv -> 4.5% gain
Aug 21, 2025
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105 changes: 38 additions & 67 deletions ggml/src/ggml-cuda/iqk_mmvq.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -776,28 +776,21 @@ __device__ __forceinline__ void vec_dot_iq3_k_r4_q8_1(
//scales[1] = __vcmpeq4((scales_h[is] >> ib32) & 0x01010101, 0x01010101);
//scales[0] = __vsub4(scales[0] ^ scales[1], scales[1]);
const int8_t * s8 = (const int8_t *)scales;
int2 val1;
const int * q2 = (const int *)bq3->qs + 8*ib32 + 4*is;
const int * qh = (const int *)bq3->qh + 4*ib32;
int aux32[2];
const uint8_t * aux8 = (const uint8_t *)aux32;
const uint32_t * q2 = (const uint32_t *)bq3->qs + 8*ib32 + 4*is;
const uint32_t * qh = (const uint32_t *)bq3->qh + 4*ib32;
for (int i = 0; i < 4; ++i) {
auto values1 = iq3nl_values + (((bq3->extra[i+4*is] >> ib32) & 1) << 3);
uint32_t extra32 = uint32_t((bq3->extra[i+4*is] >> ib32) & 1) * 0x88888888;

int sumi1 = 0;
int h = qh[i] >> 4*is;
aux32[0] = ((q2[i] >> 0) & 0x03030303) | ((h << 2) & 0x04040404);
aux32[1] = ((q2[i] >> 2) & 0x03030303) | ((h << 1) & 0x04040404);
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[1], sumi1));
aux32[0] = ((q2[i] >> 4) & 0x03030303) | ((h >> 0) & 0x04040404);
aux32[1] = ((q2[i] >> 6) & 0x03030303) | ((h >> 1) & 0x04040404);
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[2], ggml_cuda_dp4a(val1.y, q8[3], sumi1));
uint32_t h = qh[i] >> 4*is;
uint32_t val1 = ((q2[i] >> 0) & 0x33333333) | extra32 | ((h << 2) & 0x04040404) | ((h << 4) & 0x40404040);
uint32_t val2 = ((q2[i] >> 2) & 0x33333333) | extra32 | ((h << 1) & 0x04040404) | ((h << 3) & 0x40404040);
int2 v1 = get_int_from_table_16(val1, iq3nl_values);
int2 v2 = get_int_from_table_16(val2, iq3nl_values);
sumi1 = ggml_cuda_dp4a(v1.x, q8[0], ggml_cuda_dp4a(v2.x, q8[1], sumi1));
sumi1 = ggml_cuda_dp4a(v1.y, q8[2], ggml_cuda_dp4a(v2.y, q8[3], sumi1));
const float d = __half2float(bq3->d[i]) * d8;
result[i] += d * sumi1 * s8[i] * (s8[i+4] ? -1 : 1);
//result[i] += d * sumi1 * s8[i];
}
}

Expand Down Expand Up @@ -1021,41 +1014,32 @@ __device__ __forceinline__ void vec_dot_iq3_k_q8_1(
const uint16_t sh = bq3->scales_h >> (8*ib128 + il8/2);

const uint8_t extra = bq3->extra >> (8*ib128 + il8/2);
const uint16_t * values1 = iq3k_table + ((extra << 6) & 0x40);
const uint16_t * values2 = iq3k_table + ((extra << 5) & 0x40);
const uint16_t * values3 = iq3k_table + ((extra << 4) & 0x40);
const uint16_t * values4 = iq3k_table + ((extra << 3) & 0x40);
uint32_t extra32 = uint32_t(extra) * 0x01010101;
uint32_t extra32_1 = ((extra32 << 3) & 0x08080808) | ((extra32 << 5) & 0x80808080);
uint32_t extra32_2 = ((extra32 << 2) & 0x08080808) | ((extra32 << 4) & 0x80808080);

const int * q8;
int sumi[4] = {0, 0, 0, 0};
int v;
for (int i = 0; i < 2; ++i) {
uint32_t vl = ql[2*i+0] | (ql[2*i+1] << 16);
uint32_t vh = ((qh[2*i+0] | (qh[2*i+1] << 16)) << hshift) >> 2;
uint32_t vh = ((qh[2*i+0] | (qh[2*i+1] << 16)) << hshift);

uint32_t val1 = ((vl >> 0) & 0x33333333) | extra32_1 | ((vh >> 2) & 0x04040404) | ((vh >> 0) & 0x40404040);
uint32_t val2 = ((vl >> 2) & 0x33333333) | extra32_2 | ((vh >> 3) & 0x04040404) | ((vh >> 1) & 0x40404040);
int2 v1 = get_int_from_table_16(val1, iq3nl_values);
int2 v2 = get_int_from_table_16(val2, iq3nl_values);

q8 = (const int *)bq8_1[4*ib128+0].qs + 2*il8;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values1);
sumi[0] = ggml_cuda_dp4a(v, q8[i], sumi[0]);
vl >>= 2; vh >>= 1;
sumi[0] = ggml_cuda_dp4a(v1.x, q8[i], sumi[0]);

q8 += sizeof(block_q8_1)/4;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values2);
sumi[1] = ggml_cuda_dp4a(v, q8[i], sumi[1]);
vl >>= 2; vh >>= 1;
sumi[1] = ggml_cuda_dp4a(v2.x, q8[i], sumi[1]);

q8 += sizeof(block_q8_1)/4;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values3);
sumi[2] = ggml_cuda_dp4a(v, q8[i], sumi[2]);
vl >>= 2; vh >>= 1;
sumi[2] = ggml_cuda_dp4a(v1.y, q8[i], sumi[2]);

q8 += sizeof(block_q8_1)/4;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values4);
sumi[3] = ggml_cuda_dp4a(v, q8[i], sumi[3]);

sumi[3] = ggml_cuda_dp4a(v2.y, q8[i], sumi[3]);
}
const float d = __half2float(bq3->d);
const uint16_t * sl16 = (const uint16_t *)bq3->scales_l + 2*ib128;
Expand Down Expand Up @@ -1127,50 +1111,37 @@ __device__ __forceinline__ void vec_dot_iq3_ks_q8_1(
const uint16_t * ql = (const uint16_t *)bq3->qs + 16*ib128 + 4*il8;
const uint16_t * qh = (const uint16_t *)bq3->qh + 4*il8;

int32_t aux32;
const uint8_t * aux8 = (const uint8_t *)&aux32;

uint16_t extra = bq3->extra >> 4*ib128;
uint16_t extra_v = extra >> 8;
uint32_t extra_v = uint32_t(extra >> 8) * 0x01010101;

const uint16_t * values1 = iq3k_table + ((extra_v << 6) & 0x40);
const uint16_t * values2 = iq3k_table + ((extra_v << 5) & 0x40);
const uint16_t * values3 = iq3k_table + ((extra_v << 4) & 0x40);
const uint16_t * values4 = iq3k_table + ((extra_v << 3) & 0x40);
uint32_t extra32_1 = ((extra_v << 3) & 0x08080808) | ((extra_v << 5) & 0x80808080);
uint32_t extra32_2 = ((extra_v << 2) & 0x08080808) | ((extra_v << 4) & 0x80808080);

const int * q8;
int sumi[4] = {0, 0, 0, 0};
int v;
for (int i = 0; i < 2; ++i) {
uint32_t vl = ql[2*i+0] | (ql[2*i+1] << 16);
uint32_t vh = ((qh[2*i+0] | (qh[2*i+1] << 16)) >> 4*ib128) << 2;
uint32_t vh = ((qh[2*i+0] | (qh[2*i+1] << 16)) >> 4*ib128);

uint32_t val1 = ((vl >> 0) & 0x33333333) | extra32_1 | ((vh << 2) & 0x04040404) | ((vh << 4) & 0x40404040);
uint32_t val2 = ((vl >> 2) & 0x33333333) | extra32_2 | ((vh << 1) & 0x04040404) | ((vh << 3) & 0x40404040);
int2 v1 = get_int_from_table_16(val1, iq3nl_values);
int2 v2 = get_int_from_table_16(val2, iq3nl_values);

q8 = (const int *)bq8_1[4*ib128+0].qs + 2*il8;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values1);
sumi[0] = ggml_cuda_dp4a(v, q8[i], sumi[0]);
vl >>= 2; vh >>= 1;
sumi[0] = ggml_cuda_dp4a(v1.x, q8[i], sumi[0]);

q8 += sizeof(block_q8_1)/4;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values2);
sumi[1] = ggml_cuda_dp4a(v, q8[i], sumi[1]);
vl >>= 2; vh >>= 1;
sumi[1] = ggml_cuda_dp4a(v2.x, q8[i], sumi[1]);

q8 += sizeof(block_q8_1)/4;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values3);
sumi[2] = ggml_cuda_dp4a(v, q8[i], sumi[2]);
vl >>= 2; vh >>= 1;
sumi[2] = ggml_cuda_dp4a(v1.y, q8[i], sumi[2]);

q8 += sizeof(block_q8_1)/4;
aux32 = (vl & 0x03030303) | (vh & 0x04040404);
v = int_from_table_2(aux8, values4);
sumi[3] = ggml_cuda_dp4a(v, q8[i], sumi[3]);

sumi[3] = ggml_cuda_dp4a(v2.y, q8[i], sumi[3]);
}
const uint16_t * sl16 = (const uint16_t *)bq3->scales;
aux32 = __vsub4(((sl16[0] | (sl16[1] << 16)) >> 4*ib128) & 0x0f0f0f0f, 0x10101010);
int32_t aux32 = __vsub4(((sl16[0] | (sl16[1] << 16)) >> 4*ib128) & 0x0f0f0f0f, 0x10101010);
const int8_t * a8 = (const int8_t *)&aux32;
*result += d * (__low2float(bq8_1[4*ib128+0].ds) * (a8[0] + ((extra << 4) & 0x10)) * sumi[0] +
__low2float(bq8_1[4*ib128+1].ds) * (a8[1] + ((extra << 3) & 0x10)) * sumi[1] +
Expand Down
79 changes: 36 additions & 43 deletions ggml/src/ggml-cuda/mmq.cuh
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Original file line number Diff line number Diff line change
Expand Up @@ -2696,8 +2696,6 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
constexpr int qstep = 8;
const int kqsx = threadIdx.x % qstep;

uint32_t aux32[4];
const uint8_t * aux8 = (const uint8_t *)aux32;
#pragma unroll
for (int i0 = 0; i0 < mmq_y; i0 += nwarps * WARP_SIZE/qstep) {
int i = i0 + threadIdx.y*(WARP_SIZE/qstep) + threadIdx.x/qstep;
Expand All @@ -2711,35 +2709,33 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
const float d = bxi->d;

uint16_t extra = bxi->extra >> (kqsx/4);
uint32_t extra32[2] = { uint32_t(extra & 0xff) * 0x01010101, uint32_t(extra >> 8) * 0x01010101 };
int qh = get_int_b2(bxi->qh, kqsx);

#pragma unroll
for (int l = 0; l < qstep/4; ++l) {

//extra << 3, extra << 1, extra >> 1, extra >> 3
const int ql = get_int_b2(bxi->qs, kqsx + qstep*l);
aux32[0] = ((ql >> 0) & 0x03030303) | ((qh << 2) & 0x04040404);
aux32[1] = ((ql >> 2) & 0x03030303) | ((qh << 1) & 0x04040404);
aux32[2] = ((ql >> 4) & 0x03030303) | ((qh >> 0) & 0x04040404);
aux32[3] = ((ql >> 6) & 0x03030303) | ((qh >> 1) & 0x04040404);

const int val0 = int_from_table_2(aux8+ 0, iq3k_table + ((extra << 6) & 0x40));
const int val1 = int_from_table_2(aux8+ 4, iq3k_table + ((extra << 4) & 0x40));
const int val2 = int_from_table_2(aux8+ 8, iq3k_table + ((extra << 2) & 0x40));
const int val3 = int_from_table_2(aux8+12, iq3k_table + ((extra << 0) & 0x40));
uint32_t val1 = ((ql >> 0) & 0x33333333) | ((extra32[l] << 3) & 0x88888888)
| ((qh << 2) & 0x04040404) | ((qh << 4) & 0x40404040);
uint32_t val2 = ((ql >> 2) & 0x33333333) | ((extra32[l] << 1) & 0x88888888)
| ((qh << 1) & 0x04040404) | ((qh << 3) & 0x40404040);
int2 v1 = get_int_from_table_16(val1, iq3nl_values);
int2 v2 = get_int_from_table_16(val2, iq3nl_values);

extra >>= 8;
qh >>= 4;
qh >>= 4;

#ifdef INT8_MMA_AVAILABLE
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 0] = val0;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 8] = val1;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 16] = val2;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 24] = val3;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 0] = v1.x;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 8] = v2.x;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 16] = v1.y;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + kqsx + 32*l + 24] = v2.y;
#else
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 0] = val0;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 8] = val1;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 16] = val2;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 24] = val3;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 0] = v1.x;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 8] = v2.x;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 16] = v1.y;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 24] = v2.y;
#endif // INT8_MMA_AVAILABLE
}

Expand Down Expand Up @@ -2769,8 +2765,6 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
constexpr int qstep = 8;
const int kqsx = threadIdx.x % qstep;

uint32_t aux32[4];
const uint8_t * aux8 = (const uint8_t *)aux32;
#pragma unroll
for (int i0 = 0; i0 < mmq_y; i0 += nwarps * WARP_SIZE/qstep) {
int i = i0 + threadIdx.y*(WARP_SIZE/qstep) + threadIdx.x/qstep;
Expand All @@ -2783,36 +2777,35 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
const float d = __half2float(dptr[0]);
const block_iq3_ks * bxi = (const block_iq3_ks *)(dptr + 1) + kbx0;

uint16_t extra = bxi->extra >> 8;
//uint16_t extra = bxi->extra >> 8;
int qh = get_int_b2(bxi->qh, kqsx);

uint32_t extra32 = uint32_t(bxi->extra >> 8) * 0x01010101;

#pragma unroll
for (int l = 0; l < qstep/4; ++l) {

const int ql = get_int_b2(bxi->qs, kqsx + qstep*l);
aux32[0] = ((ql >> 0) & 0x03030303) | ((qh << 2) & 0x04040404);
aux32[1] = ((ql >> 2) & 0x03030303) | ((qh << 1) & 0x04040404);
aux32[2] = ((ql >> 4) & 0x03030303) | ((qh >> 0) & 0x04040404);
aux32[3] = ((ql >> 6) & 0x03030303) | ((qh >> 1) & 0x04040404);

const int val0 = int_from_table_2(aux8+ 0, iq3k_table + ((extra << 6) & 0x40));
const int val1 = int_from_table_2(aux8+ 4, iq3k_table + ((extra << 5) & 0x40));
const int val2 = int_from_table_2(aux8+ 8, iq3k_table + ((extra << 4) & 0x40));
const int val3 = int_from_table_2(aux8+12, iq3k_table + ((extra << 3) & 0x40));
uint32_t val1 = ((ql >> 0) & 0x33333333) | ((qh << 2) & 0x04040404) | ((extra32 << 3) & 0x08080808)
| ((qh << 4) & 0x40404040) | ((extra32 << 5) & 0x80808080);
uint32_t val2 = ((ql >> 2) & 0x33333333) | ((qh << 1) & 0x04040404) | ((extra32 << 2) & 0x08080808)
| ((qh << 3) & 0x40404040) | ((extra32 << 4) & 0x80808080);
int2 v1 = get_int_from_table_16(val1, iq3nl_values);
int2 v2 = get_int_from_table_16(val2, iq3nl_values);

extra >>= 4;
qh >>= 4;
extra32 >>= 4;
qh >>= 4;

#ifdef INT8_MMA_AVAILABLE
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 0] = val0;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 8] = val1;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 16] = val2;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 24] = val3;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 0] = v1.x;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 8] = v2.x;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 16] = v1.y;
x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + kqsx + 32*l + 24] = v2.y;
#else
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 0] = val0;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 8] = val1;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 16] = val2;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 24] = val3;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 0] = v1.x;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 8] = v2.x;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 16] = v1.y;
x_qs[i*(2*WARP_SIZE + 1) + kqsx + 32*l + 24] = v2.y;
#endif // INT8_MMA_AVAILABLE
}

Expand Down
34 changes: 14 additions & 20 deletions ggml/src/ggml-cuda/template-instances/mmq-instance-iq3_k_r4.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -16,8 +16,6 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin

const int kqsx = threadIdx.x/4; // 0...7 -> block of 32

uint32_t aux32[4];
const uint8_t * aux8 = (const uint8_t *)aux32;
#pragma unroll
for (int i0 = 0; i0 < mmq_y; i0 += 4*nwarps) {
int i = i0 + 4*threadIdx.y + threadIdx.x%4;
Expand All @@ -37,29 +35,25 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
#pragma unroll
for (int l = 0; l < 2; ++l) {

auto values_l = iq3k_table + (((bxi->extra[ir+4*l] >> kqsx) & 1) << 6);
//auto values_l = iq3k_table + (((bxi->extra[ir+4*l] >> kqsx) & 1) << 6);
uint32_t extra32 = uint32_t((bxi->extra[ir+4*l] >> kqsx) & 1) * 0x88888888;

const int ql = get_int_b4(bxi->qs, 8*kqsx + ir + 4*l);
aux32[0] = ((ql >> 0) & 0x03030303) | ((qh << 2) & 0x04040404);
aux32[1] = ((ql >> 2) & 0x03030303) | ((qh << 1) & 0x04040404);
aux32[2] = ((ql >> 4) & 0x03030303) | ((qh >> 0) & 0x04040404);
aux32[3] = ((ql >> 6) & 0x03030303) | ((qh >> 1) & 0x04040404);

int val0 = int_from_table_2(aux8+ 0, values_l);
int val1 = int_from_table_2(aux8+ 4, values_l);
int val2 = int_from_table_2(aux8+ 8, values_l);
int val3 = int_from_table_2(aux8+12, values_l);
uint32_t val1 = ((ql >> 0) & 0x33333333) | extra32 | ((qh << 2) & 0x04040404) | ((qh << 4) & 0x40404040);
uint32_t val2 = ((ql >> 2) & 0x33333333) | extra32 | ((qh << 1) & 0x04040404) | ((qh << 3) & 0x40404040);
int2 v1 = get_int_from_table_16(val1, iq3nl_values);
int2 v2 = get_int_from_table_16(val2, iq3nl_values);

#ifdef INT8_MMA_AVAILABLE
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 0] = val0;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 1] = val1;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 2] = val2;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 3] = val3;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 0] = v1.x;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 1] = v2.x;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 2] = v1.y;
x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + 4*l + 3] = v2.y;
#else
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 0] = val0;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 1] = val1;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 2] = val2;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 3] = val3;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 0] = v1.x;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 1] = v2.x;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 2] = v1.y;
x_qs[i*(2*WARP_SIZE + 1) + 8*kqsx + 4*l + 3] = v2.y;
#endif // INT8_MMA_AVAILABLE

qh >>= 4;
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