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https://github.com/ikawrakow/ik_llama.cpp.git
synced 2026-04-30 19:31:48 +00:00
Fix bug in iqk_mul_mat
I recently added the possibility to have a matrix multiplication kernel that processes 16 columns in the right matrix per iteration. This introduced a bug that shows up when batch size is greater than 16, is not a multiple of 16, and the remainder is not a multiple of the maximum columns being processed by the regular kernels (and so, never showed up in my testing using TG-128 and PP-512). This commit fixes the issue.
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@@ -139,6 +139,8 @@ int main(int argc, char ** argv) {
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const int n_ctx_req = is_pp_shared ? pp + pl*tg : pl*(pp + tg);
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const int n_ctx_req = is_pp_shared ? pp + pl*tg : pl*(pp + tg);
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if (n_ctx_req > n_kv_max) {
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if (n_ctx_req > n_kv_max) {
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printf("n_ctx_req = %d is greater than n_kv_max = %d for pp = %d, tg = %d, pl = %d\n",
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n_ctx_req, n_kv_max, pp, tg, pl);
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continue;
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continue;
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}
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}
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@@ -142,13 +142,14 @@ struct MulMat {
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}
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}
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int ny = funcs.size();
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int ny = funcs.size();
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while (!funcs[ny-1] && ny > 0) --ny;
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while (!funcs[ny-1] && ny > 0) --ny;
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int n_step = (nrc_y - info.cur_y)/ny;
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int n_left = nrc_y - info.cur_y;
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int n_step = n_left/ny;
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if (n_step > 0) {
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if (n_step > 0) {
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if (n_step*ny != nrc_y) {
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if (n_step*ny != n_left) {
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++n_step;
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++n_step;
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int ny1 = nrc_y/n_step;
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int ny1 = n_left/n_step;
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int ny2 = ny1 + 1;
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int ny2 = ny1 + 1;
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int my1 = n_step*ny2 - nrc_y;
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int my1 = n_step*ny2 - n_left;
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int my2 = n_step - my1;
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int my2 = n_step - my1;
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for (int ix = 0; ix < nrc_x; ix += k_x_step) {
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for (int ix = 0; ix < nrc_x; ix += k_x_step) {
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auto this_info = info;
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auto this_info = info;
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@@ -163,7 +164,7 @@ struct MulMat {
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this_info.cur_y += ny2;
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this_info.cur_y += ny2;
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}
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}
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}
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}
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info.cur_y += nrc_y;
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info.cur_y += n_left;
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}
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}
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else {
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else {
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for (int ix = 0; ix < nrc_x; ix += k_x_step) {
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for (int ix = 0; ix < nrc_x; ix += k_x_step) {
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@@ -178,7 +179,7 @@ struct MulMat {
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info.cur_y += ny * n_step;
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info.cur_y += ny * n_step;
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}
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}
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}
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}
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int n_left = nrc_y - info.cur_y;
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n_left = nrc_y - info.cur_y;
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if (n_left > 0) {
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if (n_left > 0) {
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funcs[n_left-1](n, vx, bx, info, nrc_x);
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funcs[n_left-1](n, vx, bx, info, nrc_x);
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}
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}
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@@ -13597,6 +13598,7 @@ void compute_helper(KHelper& kh, VHelper& vh, int nq1, int nk1, int stride_q, in
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#ifdef __aarch64__
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#ifdef __aarch64__
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float16_t q_f16[D*q_step];
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float16_t q_f16[D*q_step];
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#endif
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#endif
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for (int i1 = 0; i1 < nq1/q_step; ++i1) {
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for (int i1 = 0; i1 < nq1/q_step; ++i1) {
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fms.init_qstep();
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fms.init_qstep();
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kh.reset_block();
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kh.reset_block();
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