vulkan: Add ACC_TYPE_VEC2 implementation (#16203)

Signed-off-by: Stefan Savic <stefan.savic@huawei.com>
Co-authored-by: Stefan Savic <stefan.savic@huawei.com>
This commit is contained in:
SavicStefan
2025-10-14 19:18:05 +02:00
committed by GitHub
parent 120bf7046d
commit ffa059034c

View File

@@ -313,12 +313,12 @@ void main() {
sums[i] = coopmat<ACC_TYPE, gl_ScopeSubgroup, TM, TN, gl_MatrixUseAccumulator>(0.0f);
}
#else
ACC_TYPE sums[WMITER * TM * WNITER * TN];
ACC_TYPE_VEC2 sums[WMITER * TM * WNITER * TN/2];
FLOAT_TYPE_VEC2 cache_a[WMITER * TM];
FLOAT_TYPE_VEC2 cache_b[TN];
FLOAT_TYPE_VEC2 cache_b;
[[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) {
sums[i] = ACC_TYPE(0.0f);
[[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN/2; i++) {
sums[i] = ACC_TYPE_VEC2(0.0f, 0.0f);
}
#endif
@@ -360,20 +360,22 @@ void main() {
cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * SHMEM_STRIDE + i];
}
}
[[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
[[unroll]] for (uint j = 0; j < TN; j++) {
cache_b[j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * SHMEM_STRIDE + i];
}
[[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
[[unroll]] for (uint cc = 0; cc < TN; cc++) {
[[unroll]] for (uint cr = 0; cr < TM; cr++) {
const uint sums_idx = (wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr;
sums[sums_idx] = fma(ACC_TYPE(cache_a[wsir * TM + cr].x), ACC_TYPE(cache_b[cc].x), fma(ACC_TYPE(cache_a[wsir * TM + cr].y), ACC_TYPE(cache_b[cc].y), sums[sums_idx]));
[[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
[[unroll]] for (uint cc = 0; cc < TN; cc++) {
cache_b = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + cc) * SHMEM_STRIDE + i];
[[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
[[unroll]] for (uint cr = 0; cr < TM / 2; cr++) {
// [WNITER][TN][WMITER][TM / 2] -> [wsic][cc][wsir][cr]
const uint sums_idx = (wsic * TN + cc) * WMITER * (TM / 2) + wsir * (TM / 2) + cr;
sums[sums_idx].x = fma(ACC_TYPE(cache_a[wsir * TM + 2 * cr ].x), ACC_TYPE(cache_b.x), fma(ACC_TYPE(cache_a[wsir * TM + 2 * cr ].y), ACC_TYPE(cache_b.y), sums[sums_idx].x));
sums[sums_idx].y = fma(ACC_TYPE(cache_a[wsir * TM + 2 * cr + 1].x), ACC_TYPE(cache_b.x), fma(ACC_TYPE(cache_a[wsir * TM + 2 * cr + 1].y), ACC_TYPE(cache_b.y), sums[sums_idx].y));
}
}
}
}
}
#endif
@@ -388,8 +390,9 @@ void main() {
}
}
#else
[[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) {
sums[i] = clamp(sums[i], -ACC_TYPE_MAX, ACC_TYPE_MAX);
[[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN/2; i++) {
sums[i].x = clamp(sums[i].x, -ACC_TYPE_MAX, ACC_TYPE_MAX);
sums[i].y = clamp(sums[i].y, -ACC_TYPE_MAX, ACC_TYPE_MAX);
}
#endif
#endif
@@ -463,14 +466,21 @@ void main() {
const u16vec2 row_idx = row_ids[row_i - ic * BN];
#endif // MUL_MAT_ID
[[unroll]] for (uint cr = 0; cr < TM; cr++) {
[[unroll]] for (uint cr = 0; cr < TM / 2; cr++) {
const uint sums_idx = (wsic * TN + cc) * WMITER * (TM / 2) + wsir * (TM / 2) + cr;
#ifdef MUL_MAT_ID
if (dr_warp + cr < p.M) {
data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
if (dr_warp + 2 * cr < p.M) {
data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + 2 * cr] = D_TYPE(sums[sums_idx].x);
}
if (dr_warp + 2 * cr + 1 < p.M) {
data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + 2 * cr + 1] = D_TYPE(sums[sums_idx].y);
}
#else
if (dr_warp + cr < p.M && dc_warp + cc < p.N) {
data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
if (dr_warp + 2 * cr < p.M && dc_warp + cc < p.N) {
data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + 2 * cr] = D_TYPE(sums[sums_idx].x);
}
if (dr_warp + 2 * cr + 1 < p.M && dc_warp + cc < p.N) {
data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + 2 * cr + 1] = D_TYPE(sums[sums_idx].y);
}
#endif // MUL_MAT_ID
}