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ggml-cpu: Support Q5_0 and Q5_1 on s390x (#15486)
* ggml-cpu: initial q5_0 impl for s390x Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: updated q5_0 code for better performance Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: use optimised hsum for better performance Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: introduce q5_1 simd + refactor q5_0 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: fix incorrect return type vec_hsum Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: q5_0 incomplete refactor + table_b2b_0 activation Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: refactor q5_1 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: q5_1 update loop unroll to 4 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: update q5_0 unroll to 4 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: update build-s390x docs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-cpu: update unused variables q5_0 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: update the last update date Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
This commit is contained in:
Aaron Teo
@@ -265,8 +265,9 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
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| BF16 | 🚫 | 🚫 | ❓ | ❓ |
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| Q4_0 | ✅ | ✅ | ❓ | ❓ |
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| Q4_1 | ✅ | ✅ | ❓ | ❓ |
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| Q5_0 | 🚫 | 🚫 | ❓ | ❓ |
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| Q5_1 | 🚫 | 🚫 | ❓ | ❓ |
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| MXFP4 | 🚫 | 🚫 | ❓ | ❓ |
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| Q5_0 | ✅ | ✅ | ❓ | ❓ |
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| Q5_1 | ✅ | ✅ | ❓ | ❓ |
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| Q8_0 | ✅ | ✅ | ❓ | ❓ |
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| Q2_K | 🚫 | 🚫 | ❓ | ❓ |
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| Q3_K | ✅ | ✅ | ❓ | ❓ |
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@@ -291,4 +292,4 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
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- 🚫 - acceleration unavailable, will still run using scalar implementation
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- ❓ - acceleration unknown, please contribute if you can test it yourself
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Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on July 31, 2025.
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Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on Aug 22, 2025.
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@@ -150,8 +150,6 @@
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#elif defined(__s390x__)
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// quants.c
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#define quantize_row_q8_K_generic quantize_row_q8_K
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#define ggml_vec_dot_q5_0_q8_0_generic ggml_vec_dot_q5_0_q8_0
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#define ggml_vec_dot_q5_1_q8_1_generic ggml_vec_dot_q5_1_q8_1
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#define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
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#define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
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#define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
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@@ -23,6 +23,27 @@
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#define UNUSED GGML_UNUSED
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#if defined(__VXE__) || defined(__VXE2__)
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#define B1(c,s,n) 0x ## n ## c , 0x ## n ## s
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#define B2(c,s,n) B1(c,s,n ## c), B1(c,s,n ## s)
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#define B3(c,s,n) B2(c,s,n ## c), B2(c,s,n ## s)
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#define B4(c,s,n) B3(c,s,n ## c), B3(c,s,n ## s)
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#define B5(c,s,n) B4(c,s,n ## c), B4(c,s,n ## s)
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#define B6(c,s,n) B5(c,s,n ## c), B5(c,s,n ## s)
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#define B7(c,s,n) B6(c,s,n ## c), B6(c,s,n ## s)
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#define B8(c,s ) B7(c,s, c), B7(c,s, s)
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// precomputed tables for expanding 8bits to 8 bytes:
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static const __attribute__((aligned(16))) uint64_t table_b2b_0[1 << 8] = { B8(00, 10) }; // ( b ) << 4
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static const __attribute__((aligned(16))) uint64_t table_b2b_1[1 << 8] = { B8(10, 00) }; // (!b) << 4
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// permute mask for byteswapping
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static const uint8x16_t v_kperm = (const uint8x16_t){
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7, 6, 5, 4, 3, 2, 1, 0,
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15, 14, 13, 12, 11, 10, 9, 8
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};
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#endif
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void quantize_row_q8_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) {
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assert(QK8_0 == 32);
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assert(k % QK8_0 == 0);
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@@ -241,6 +262,301 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const voi
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#endif
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}
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void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
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const int qk = QK8_0;
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const int nb = n / qk;
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assert(n % qk == 0);
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assert(qk == QK5_0);
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assert(nrc == 1);
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UNUSED(nrc);
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UNUSED(bx);
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UNUSED(by);
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UNUSED(bs);
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const block_q5_0 * GGML_RESTRICT x = vx;
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const block_q8_0 * GGML_RESTRICT y = vy;
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int ib = 0;
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float sumf = 0.0f;
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#if defined(__VXE__) || defined(__VXE2__)
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float32x4_t v_sum0 = vec_splats(0.0f);
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float32x4_t v_sum1 = vec_splats(0.0f);
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uint32_t qh0, qh1;
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uint64_t tmp0[4], tmp1[4];
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const uint8x16_t v_m = vec_splats((uint8_t)0x0F);
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#pragma GCC unroll 4
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for (; ib + 1 < nb; ib += 2) {
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const block_q5_0 * GGML_RESTRICT x0 = &x[ib + 0];
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const block_q5_0 * GGML_RESTRICT x1 = &x[ib + 1];
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const block_q8_0 * GGML_RESTRICT y0 = &y[ib + 0];
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const block_q8_0 * GGML_RESTRICT y1 = &y[ib + 1];
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memcpy(&qh0, x0->qh, sizeof(qh0));
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memcpy(&qh1, x1->qh, sizeof(qh1));
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tmp0[0] = table_b2b_1[(qh0 >> 0) & 0xFF];
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tmp0[1] = table_b2b_1[(qh0 >> 8) & 0xFF];
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tmp0[2] = table_b2b_1[(qh0 >> 16) & 0xFF];
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tmp0[3] = table_b2b_1[(qh0 >> 24) ];
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tmp1[0] = table_b2b_1[(qh1 >> 0) & 0xFF];
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tmp1[1] = table_b2b_1[(qh1 >> 8) & 0xFF];
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tmp1[2] = table_b2b_1[(qh1 >> 16) & 0xFF];
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tmp1[3] = table_b2b_1[(qh1 >> 24) ];
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int8x16_t v_qh0l = vec_xl(0, (const int8_t *)(tmp0 + 0));
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int8x16_t v_qh0h = vec_xl(0, (const int8_t *)(tmp0 + 2));
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int8x16_t v_qh1l = vec_xl(0, (const int8_t *)(tmp1 + 0));
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int8x16_t v_qh1h = vec_xl(0, (const int8_t *)(tmp1 + 2));
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// required for fixing the byteorder
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v_qh0l = vec_perm(v_qh0l, v_qh0l, v_kperm);
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v_qh0h = vec_perm(v_qh0h, v_qh0h, v_kperm);
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v_qh1l = vec_perm(v_qh1l, v_qh1l, v_kperm);
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v_qh1h = vec_perm(v_qh1h, v_qh1h, v_kperm);
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const uint8x16_t v_x0 = vec_xl(0, (const uint8_t *)x0->qs);
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const uint8x16_t v_x1 = vec_xl(0, (const uint8_t *)x1->qs);
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int8x16_t v_x0l = (int8x16_t)vec_and(v_x0, v_m);
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int8x16_t v_x0h = (int8x16_t)vec_sr(v_x0, 4);
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int8x16_t v_x1l = (int8x16_t)vec_and(v_x1, v_m);
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int8x16_t v_x1h = (int8x16_t)vec_sr(v_x1, 4);
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const int8x16_t v_x0lf = vec_sub(v_x0l, v_qh0l);
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const int8x16_t v_x0hf = vec_sub(v_x0h, v_qh0h);
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const int8x16_t v_x1lf = vec_sub(v_x1l, v_qh1l);
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const int8x16_t v_x1hf = vec_sub(v_x1h, v_qh1h);
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const int8x16_t v_y0l = vec_xl(0, (const int8_t *)y0->qs);
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const int8x16_t v_y0h = vec_xl(QK8_0/2, (const int8_t *)y0->qs);
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const int8x16_t v_y1l = vec_xl(0, (const int8_t *)y1->qs);
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const int8x16_t v_y1h = vec_xl(QK8_0/2, (const int8_t *)y1->qs);
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const int32x4_t v_xy0 = ggml_vec_dot(ggml_vec_dot(vec_splats(0), v_x0lf, v_y0l), v_x0hf, v_y0h);
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const int32x4_t v_xy1 = ggml_vec_dot(ggml_vec_dot(vec_splats(0), v_x1lf, v_y1l), v_x1hf, v_y1h);
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const float32x4_t v_xy0f = vec_float(v_xy0);
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const float32x4_t v_xy1f = vec_float(v_xy1);
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const float32x4_t v_d0 = vec_splats(GGML_CPU_FP16_TO_FP32(x0->d) * GGML_CPU_FP16_TO_FP32(y0->d));
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const float32x4_t v_d1 = vec_splats(GGML_CPU_FP16_TO_FP32(x1->d) * GGML_CPU_FP16_TO_FP32(y1->d));
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v_sum0 = vec_madd(v_xy0f, v_d0, v_sum0);
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v_sum1 = vec_madd(v_xy1f, v_d1, v_sum1);
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}
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sumf += vec_hsum(v_sum0) + vec_hsum(v_sum1);
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#pragma GCC unroll 4
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for (; ib < nb; ++ib) {
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const block_q5_0 * GGML_RESTRICT x0 = &x[ib];
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const block_q8_0 * GGML_RESTRICT y0 = &y[ib];
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uint32_t qh;
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memcpy(&qh, x0->qh, sizeof(qh));
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uint64_t tmp[4];
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tmp[0] = table_b2b_1[(qh >> 0) & 0xFF];
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tmp[1] = table_b2b_1[(qh >> 8) & 0xFF];
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tmp[2] = table_b2b_1[(qh >> 16) & 0xFF];
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tmp[3] = table_b2b_1[(qh >> 24) ];
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int8x16_t v_qhl = vec_xl(0, (const int8_t *)(tmp + 0));
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int8x16_t v_qhh = vec_xl(0, (const int8_t *)(tmp + 2));
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// required for fixing the byteorder
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v_qhl = vec_perm(v_qhl, v_qhl, v_kperm);
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v_qhh = vec_perm(v_qhh, v_qhh, v_kperm);
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const uint8x16_t v_x = vec_xl(0, (const uint8_t *)x0->qs);
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int8x16_t v_xl = (int8x16_t)vec_and(v_x, v_m);
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int8x16_t v_xh = (int8x16_t)vec_sr(v_x, 4);
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const int8x16_t v_xlf = vec_sub(v_xl, v_qhl);
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const int8x16_t v_xhf = vec_sub(v_xh, v_qhh);
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const int8x16_t v_yl = vec_xl(0, (const int8_t *)y0->qs);
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const int8x16_t v_yh = vec_xl(QK8_0/2, (const int8_t *)y0->qs);
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const int32x4_t v_xy = ggml_vec_dot(ggml_vec_dot(vec_splats(0), v_xlf, v_yl), v_xhf, v_yh);
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const float32x4_t v_xyf = vec_float(v_xy);
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const float32x4_t v_d = vec_splats(GGML_CPU_FP16_TO_FP32(x0->d) * GGML_CPU_FP16_TO_FP32(y0->d));
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const float32x4_t v_acc = vec_madd(v_xyf, v_d, vec_splats(0.0f));
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sumf += vec_hsum(v_acc);
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}
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*s = sumf;
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#else
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UNUSED(nb);
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UNUSED(x);
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UNUSED(y);
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UNUSED(ib);
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UNUSED(sumf);
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ggml_vec_dot_q5_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
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#endif
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}
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void ggml_vec_dot_q5_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
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const int qk = QK8_1;
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const int nb = n / qk;
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assert(n % qk == 0);
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assert(qk == QK5_1);
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assert(nrc == 1);
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UNUSED(nrc);
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UNUSED(bx);
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UNUSED(by);
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UNUSED(bs);
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const block_q5_1 * GGML_RESTRICT x = vx;
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const block_q8_1 * GGML_RESTRICT y = vy;
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int ib = 0;
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float sumf = 0.0f;
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#if defined(__VXE__) || defined(__VXE2__)
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float32x4_t v_sum0 = vec_splats(0.0f);
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float32x4_t v_sum1 = vec_splats(0.0f);
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float summs0 = 0.0f;
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float summs1 = 0.0f;
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uint32_t qh0;
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uint32_t qh1;
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uint64_t tmp0[4];
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uint64_t tmp1[4];
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const uint8x16_t v_m = vec_splats((uint8_t)0x0F);
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#pragma GCC unroll 4
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for (; ib + 1 < nb; ib += 2) {
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const block_q5_1 * GGML_RESTRICT x0 = &x[ib + 0];
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const block_q5_1 * GGML_RESTRICT x1 = &x[ib + 1];
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const block_q8_1 * GGML_RESTRICT y0 = &y[ib + 0];
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const block_q8_1 * GGML_RESTRICT y1 = &y[ib + 1];
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summs0 += GGML_CPU_FP16_TO_FP32(x0->m) * GGML_CPU_FP16_TO_FP32(y0->s);
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summs1 += GGML_CPU_FP16_TO_FP32(x1->m) * GGML_CPU_FP16_TO_FP32(y1->s);
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memcpy(&qh0, x0->qh, sizeof(qh0));
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memcpy(&qh1, x1->qh, sizeof(qh1));
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tmp0[0] = table_b2b_0[(qh0 >> 0) & 0xFF];
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tmp0[1] = table_b2b_0[(qh0 >> 8) & 0xFF];
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tmp0[2] = table_b2b_0[(qh0 >> 16) & 0xFF];
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tmp0[3] = table_b2b_0[(qh0 >> 24) ];
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tmp1[0] = table_b2b_0[(qh1 >> 0) & 0xFF];
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tmp1[1] = table_b2b_0[(qh1 >> 8) & 0xFF];
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tmp1[2] = table_b2b_0[(qh1 >> 16) & 0xFF];
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tmp1[3] = table_b2b_0[(qh1 >> 24) ];
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int8x16_t v_qh0l = vec_xl(0, (const int8_t *)(tmp0 + 0));
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int8x16_t v_qh0h = vec_xl(0, (const int8_t *)(tmp0 + 2));
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int8x16_t v_qh1l = vec_xl(0, (const int8_t *)(tmp1 + 0));
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int8x16_t v_qh1h = vec_xl(0, (const int8_t *)(tmp1 + 2));
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// required for fixing the byteorder
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v_qh0l = vec_perm(v_qh0l, v_qh0l, v_kperm);
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v_qh0h = vec_perm(v_qh0h, v_qh0h, v_kperm);
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v_qh1l = vec_perm(v_qh1l, v_qh1l, v_kperm);
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v_qh1h = vec_perm(v_qh1h, v_qh1h, v_kperm);
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const uint8x16_t v_x0 = vec_xl(0, x0->qs);
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const uint8x16_t v_x1 = vec_xl(0, x1->qs);
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const int8x16_t v_x0l = (int8x16_t)vec_and(v_x0, v_m);
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const int8x16_t v_x0h = (int8x16_t)vec_sr(v_x0, 4);
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const int8x16_t v_x1l = (int8x16_t)vec_and(v_x1, v_m);
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const int8x16_t v_x1h = (int8x16_t)vec_sr(v_x1, 4);
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const int8x16_t v_x0lf = vec_or(v_x0l, v_qh0l);
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const int8x16_t v_x0hf = vec_or(v_x0h, v_qh0h);
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const int8x16_t v_x1lf = vec_or(v_x1l, v_qh1l);
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const int8x16_t v_x1hf = vec_or(v_x1h, v_qh1h);
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const int8x16_t v_y0l = vec_xl(0 , y0->qs);
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const int8x16_t v_y0h = vec_xl(QK8_1/2, y0->qs);
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const int8x16_t v_y1l = vec_xl(0 , y1->qs);
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const int8x16_t v_y1h = vec_xl(QK8_1/2, y1->qs);
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const int32x4_t v_xy0 = ggml_vec_dot(ggml_vec_dot(vec_splats(0), v_x0lf, v_y0l), v_x0hf, v_y0h);
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const int32x4_t v_xy1 = ggml_vec_dot(ggml_vec_dot(vec_splats(0), v_x1lf, v_y1l), v_x1hf, v_y1h);
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||||
|
||||
const float32x4_t v_xy0f = vec_float(v_xy0);
|
||||
const float32x4_t v_xy1f = vec_float(v_xy1);
|
||||
|
||||
const float32x4_t v_d0 = vec_splats(GGML_CPU_FP16_TO_FP32(x0->d) * GGML_CPU_FP16_TO_FP32(y0->d));
|
||||
const float32x4_t v_d1 = vec_splats(GGML_CPU_FP16_TO_FP32(x1->d) * GGML_CPU_FP16_TO_FP32(y1->d));
|
||||
|
||||
v_sum0 = vec_madd(v_xy0f, v_d0, v_sum0);
|
||||
v_sum1 = vec_madd(v_xy1f, v_d1, v_sum1);
|
||||
}
|
||||
|
||||
sumf += vec_hsum(v_sum0) + vec_hsum(v_sum1) + summs0 + summs1;
|
||||
|
||||
#pragma GCC unroll 4
|
||||
for (; ib < nb; ++ib) {
|
||||
const block_q5_1 * GGML_RESTRICT x0 = &x[ib];
|
||||
const block_q8_1 * GGML_RESTRICT y0 = &y[ib];
|
||||
|
||||
float summs = GGML_CPU_FP16_TO_FP32(x0->m) * GGML_CPU_FP16_TO_FP32(y0->s);
|
||||
|
||||
uint32_t qh;
|
||||
memcpy(&qh, x0->qh, sizeof(qh));
|
||||
|
||||
uint64_t tmp[4];
|
||||
tmp[0] = table_b2b_0[(qh >> 0) & 0xFF];
|
||||
tmp[1] = table_b2b_0[(qh >> 8) & 0xFF];
|
||||
tmp[2] = table_b2b_0[(qh >> 16) & 0xFF];
|
||||
tmp[3] = table_b2b_0[(qh >> 24) ];
|
||||
|
||||
int8x16_t v_qhl = vec_xl(0, (const int8_t *)(tmp + 0));
|
||||
int8x16_t v_qhh = vec_xl(0, (const int8_t *)(tmp + 2));
|
||||
|
||||
// required for fixing the byteorder
|
||||
v_qhl = vec_perm(v_qhl, v_qhl, v_kperm);
|
||||
v_qhh = vec_perm(v_qhh, v_qhh, v_kperm);
|
||||
|
||||
const uint8x16_t v_x = vec_xl(0, x0->qs);
|
||||
const int8x16_t v_xl = (int8x16_t)vec_and(v_x, v_m);
|
||||
const int8x16_t v_xh = (int8x16_t)vec_sr(v_x, 4);
|
||||
|
||||
const int8x16_t v_xlf = vec_or(v_xl, v_qhl);
|
||||
const int8x16_t v_xhf = vec_or(v_xh, v_qhh);
|
||||
|
||||
const int8x16_t v_yl = vec_xl(0 , y0->qs);
|
||||
const int8x16_t v_yh = vec_xl(QK8_1/2, y0->qs);
|
||||
|
||||
const int32x4_t v_xy = ggml_vec_dot(ggml_vec_dot(vec_splats(0), v_xlf, v_yl), v_xhf, v_yh);
|
||||
const float32x4_t v_xyf = vec_float(v_xy);
|
||||
|
||||
const float32x4_t v_d = vec_splats(GGML_CPU_FP16_TO_FP32(x0->d) * GGML_CPU_FP16_TO_FP32(y0->d));
|
||||
const float32x4_t v_acc = vec_madd(v_xyf, v_d, v_acc);
|
||||
|
||||
sumf += vec_hsum(v_acc) + summs;
|
||||
}
|
||||
|
||||
*s = sumf;
|
||||
#else
|
||||
UNUSED(nb);
|
||||
UNUSED(x);
|
||||
UNUSED(y);
|
||||
UNUSED(ib);
|
||||
UNUSED(sumf);
|
||||
ggml_vec_dot_q5_1_q8_1_generic(n, s, bs, vx, bx, vy, by, nrc);
|
||||
#endif
|
||||
}
|
||||
|
||||
void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
|
||||
const int qk = QK8_0;
|
||||
const int nb = n / qk;
|
||||
|
||||
@@ -486,6 +486,14 @@ inline static int16x8_t vec_padd_s16(int16x8_t a, int16x8_t b) {
|
||||
return v_abo + v_abe;
|
||||
}
|
||||
|
||||
/**
|
||||
* @see https://github.com/ggml-org/llama.cpp/pull/14037
|
||||
*/
|
||||
inline float vec_hsum(float32x4_t v) {
|
||||
float32x4_t v_temp = v + vec_reve(v);
|
||||
return v_temp[0] + v_temp[1];
|
||||
}
|
||||
|
||||
inline static int32x4_t ggml_vec_dot(int32x4_t acc, int8x16_t a, int8x16_t b) {
|
||||
const int16x8_t p = vec_mule(a, b) + vec_mulo(a, b);
|
||||
return acc + (vec_unpackh(p) + vec_unpackl(p));
|
||||
|
||||
Reference in New Issue
Block a user