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CUDA: fix MMQ stream-k rounding if ne00 % 128 != 0 (#8311)
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@ -2305,8 +2305,11 @@ static __global__ void mul_mat_q(
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const int nty = (ne01 + mmq_y - 1) / mmq_y; // Number of tiles y
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// kbc == k block continuous, current index in continuous ijk space.
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int64_t kbc = GGML_PAD((int64_t) blockIdx.x *blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp);
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const int64_t kbc_stop = GGML_PAD((int64_t)(blockIdx.x + 1)*blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp);
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int64_t kbc = (int64_t) blockIdx.x *blocks_per_ne00*ntx*nty / gridDim.x;
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int64_t kbc_stop = (int64_t)(blockIdx.x + 1)*blocks_per_ne00*ntx*nty / gridDim.x;
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kbc -= (kbc % blocks_per_ne00) % blocks_per_warp;
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kbc_stop -= (kbc_stop % blocks_per_ne00) % blocks_per_warp;
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// kb0 == k index when doing the matrix multiplication for an output tile.
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int kb0_start = kbc % blocks_per_ne00;
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@ -2362,8 +2365,11 @@ static __global__ void mul_mat_q_stream_k_fixup(
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const int bidx_stop = (blockIdx.y*nty + blockIdx.x + 1) * block_num_mmq / (gridDim.y*gridDim.x) + 1;
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for (int bidx = bidx_start; bidx < bidx_stop; ++bidx) {
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const int64_t kbc = GGML_PAD((int64_t) bidx *blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp);
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const int64_t kbc_stop = GGML_PAD((int64_t)(bidx + 1)*blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp);
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int64_t kbc = (int64_t) bidx *blocks_per_ne00*ntx*nty / block_num_mmq;
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int64_t kbc_stop = (int64_t)(bidx + 1)*blocks_per_ne00*ntx*nty / block_num_mmq;
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kbc -= (kbc % blocks_per_ne00) % blocks_per_warp;
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kbc_stop -= (kbc_stop % blocks_per_ne00) % blocks_per_warp;
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// Skip fixup tile if the MMQ CUDA block never wrote anything to it:
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if (kbc == kbc_stop || kbc_stop % blocks_per_ne00 == 0) {
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