const int nty = (ne01 + mmq_y - 1) / mmq_y; // Number of tiles y
// kbc == k block continuous, current index in continuous ijk space.
- int64_t kbc = GGML_PAD((int64_t) blockIdx.x *blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp);
- const int64_t kbc_stop = GGML_PAD((int64_t)(blockIdx.x + 1)*blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp);
+ int64_t kbc = (int64_t) blockIdx.x *blocks_per_ne00*ntx*nty / gridDim.x;
+ int64_t kbc_stop = (int64_t)(blockIdx.x + 1)*blocks_per_ne00*ntx*nty / gridDim.x;
+
+ kbc -= (kbc % blocks_per_ne00) % blocks_per_warp;
+ kbc_stop -= (kbc_stop % blocks_per_ne00) % blocks_per_warp;
// kb0 == k index when doing the matrix multiplication for an output tile.
int kb0_start = kbc % blocks_per_ne00;
const int bidx_stop = (blockIdx.y*nty + blockIdx.x + 1) * block_num_mmq / (gridDim.y*gridDim.x) + 1;
for (int bidx = bidx_start; bidx < bidx_stop; ++bidx) {
- const int64_t kbc = GGML_PAD((int64_t) bidx *blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp);
- const int64_t kbc_stop = GGML_PAD((int64_t)(bidx + 1)*blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp);
+ int64_t kbc = (int64_t) bidx *blocks_per_ne00*ntx*nty / block_num_mmq;
+ int64_t kbc_stop = (int64_t)(bidx + 1)*blocks_per_ne00*ntx*nty / block_num_mmq;
+
+ kbc -= (kbc % blocks_per_ne00) % blocks_per_warp;
+ kbc_stop -= (kbc_stop % blocks_per_ne00) % blocks_per_warp;
// Skip fixup tile if the MMQ CUDA block never wrote anything to it:
if (kbc == kbc_stop || kbc_stop % blocks_per_ne00 == 0) {