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@ -1813,11 +1813,13 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
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sumv0 = vmlaq_f32(sumv0,(vcvtq_f32_s32(vmmlaq_s32((vmmlaq_s32((vmmlaq_s32((vmmlaq_s32(vdupq_n_s32(0), l0, r0)),
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l1, r1)), l2, r2)), l3, r3))), scale);
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}
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float32x4_t sumv1 = vextq_f32(sumv0, sumv0, 2);
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float32x4_t sumv1 = vextq_f32 (sumv0, sumv0, 2);
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float32x4_t sumv2 = vzip1q_f32(sumv0, sumv1);
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vst1_f32(s, vget_low_f32(sumv2));
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vst1_f32(s, vget_low_f32 (sumv2));
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vst1_f32(s + bs, vget_high_f32(sumv2));
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return;
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}
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#endif
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@ -7576,14 +7576,6 @@ UseGgmlGemm2:;
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// This is the size of the rest of the dimensions of the result
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const int64_t nr1 = ne1 * ne2 * ne3;
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// dot kernels can handle 1 row and col at a time, but mmla kernels can process 2 rows and cols
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int64_t num_rows_per_vec_dot = vec_dot_num_rows;
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// TODO: currently the mmla kernels support only even numbered rows/cols.
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// this check can be removed once they are extended to support odd numbered rows/cols too
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if ((nr0 % 2 != 0) || (ne11 % 2 != 0)) {
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num_rows_per_vec_dot = 1;
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}
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// Now select a reasonable chunk size.
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int chunk_size = 16;
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@ -7646,6 +7638,15 @@ UseGgmlGemm2:;
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const int64_t ir1_start = dr1 * ith1;
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const int64_t ir1_end = MIN(ir1_start + dr1, nr1);
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// dot kernels can handle 1 row and col at a time, but mmla kernels can process 2 rows and cols
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int64_t num_rows_per_vec_dot = vec_dot_num_rows;
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// TODO: currently the mmla kernels support only even numbered rows/cols.
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// this check can be removed once they are extended to support odd numbered rows/cols too
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if ((nr0 % 2 != 0) || (ne11 % 2 != 0) || ((ir0_end - ir0_start) % 2 != 0) || ((ir1_end - ir1_start) % 2 != 0)) {
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num_rows_per_vec_dot = 1;
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}
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ggml_compute_forward_mul_mat_one_chunk(params, dst, type, num_rows_per_vec_dot, ir0_start, ir0_end, ir1_start, ir1_end);
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if (nth >= nchunk0 * nchunk1) {
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