mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-13 14:29:52 +00:00
ggml : add mmla kernels for quantized GEMM (#4966)
* ggml: aarch64: implement smmla kernel for q8_0_q8_0 quantized gemm armv8.2-a and above supports MMLA instructions that have higher throughput than DOT. this commit adds mmla kernel for q8_0_q8_0 gemm. The feature is enabled if the platform supports "__ARM_FEATURE_MATMUL_INT8" On AWS Graviton3 processors this kernel resulted up to 1.5x improvement for prompt evaluation throughput compared to the default sdot kernel. * ggml: aarch64: implement smmla kernel for q4_0_q8_0 quantized gemm armv8.2-a and above supports MMLA instructions that have higher throughput than DOT. this commit adds mmla kernel for q4_0_q8_0 gemm. The feature is enabled if the platform supports "__ARM_FEATURE_MATMUL_INT8" On AWS Graviton3 processors this kernel resulted up to 1.5x improvement for prompt evaluation throughput compared to the default sdot kernel. * ggml: aarch64: implement smmla kernel for q4_1_q8_1 quantized gemm armv8.2-a and above supports MMLA instructions that have higher throughput than DOT. this commit adds mmla kernel for q4_1_q8_1 gemm. The feature is enabled if the platform supports "__ARM_FEATURE_MATMUL_INT8" On AWS Graviton3 processors this kernel resulted up to 1.5x improvement for prompt evaluation throughput compared to the default sdot kernel. * ggml: update unit tests for the new vec_dot interface * llama.cpp: add MATMUL_INT8 capability to system_info
This commit is contained in:
snadampal
GitHub
parent
e4640d8fdf
commit
a07d0fee1f
@ -1550,6 +1550,7 @@ void dump_non_result_info_yaml(FILE * stream, const gpt_params & params, const l
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fprintf(stream, "cpu_has_blas: %s\n", ggml_cpu_has_blas() ? "true" : "false");
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fprintf(stream, "cpu_has_sse3: %s\n", ggml_cpu_has_sse3() ? "true" : "false");
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fprintf(stream, "cpu_has_vsx: %s\n", ggml_cpu_has_vsx() ? "true" : "false");
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fprintf(stream, "cpu_has_matmul_int8: %s\n", ggml_cpu_has_matmul_int8() ? "true" : "false");
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#ifdef NDEBUG
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fprintf(stream, "debug: false\n");
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320
ggml-quants.c
320
ggml-quants.c
@ -49,6 +49,8 @@
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#define MIN(a, b) ((a) < (b) ? (a) : (b))
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#define MAX(a, b) ((a) > (b) ? (a) : (b))
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#define UNUSED GGML_UNUSED
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#define MM256_SET_M128I(a, b) _mm256_insertf128_si256(_mm256_castsi128_si256(b), (a), 1)
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#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__)
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@ -3677,15 +3679,88 @@ static inline __m128i get_scale_shuffle(int i) {
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}
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#endif
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void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * 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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#if defined(__ARM_FEATURE_MATMUL_INT8)
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assert((nrc == 2) || (nrc == 1));
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#else
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assert(nrc == 1);
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#endif
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const block_q4_0 * restrict x = vx;
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const block_q8_0 * restrict y = vy;
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#if defined(__ARM_FEATURE_MATMUL_INT8)
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if (nrc == 2) {
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const block_q4_0 * restrict vx0 = vx;
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const block_q4_0 * restrict vx1 = vx + bx;
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const block_q8_0 * restrict vy0 = vy;
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const block_q8_0 * restrict vy1 = vy + by;
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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for (int i = 0; i < nb; i++) {
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const block_q4_0 * restrict b_x0 = &vx0[i];
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const block_q4_0 * restrict b_x1 = &vx1[i];
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const block_q8_0 * restrict b_y0 = &vy0[i];
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const block_q8_0 * restrict b_y1 = &vy1[i];
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const uint8x16_t m4b = vdupq_n_u8(0x0F);
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const int8x16_t s8b = vdupq_n_s8(0x8);
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const uint8x16_t v0_0 = vld1q_u8(b_x0->qs);
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const uint8x16_t v0_1 = vld1q_u8(b_x1->qs);
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// 4-bit -> 8-bit
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const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
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const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
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const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
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const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
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// sub 8
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const int8x16_t x0_l = vsubq_s8(v0_0l, s8b);
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const int8x16_t x0_h = vsubq_s8(v0_0h, s8b);
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const int8x16_t x1_l = vsubq_s8(v0_1l, s8b);
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const int8x16_t x1_h = vsubq_s8(v0_1h, s8b);
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// load y
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const int8x16_t y0_l = vld1q_s8(b_y0->qs);
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const int8x16_t y0_h = vld1q_s8(b_y0->qs + 16);
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const int8x16_t y1_l = vld1q_s8(b_y1->qs);
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const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
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float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
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GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
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GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
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GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
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int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
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int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
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int8x16_t l2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
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int8x16_t l3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
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int8x16_t r0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
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int8x16_t r1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
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int8x16_t r2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
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int8x16_t r3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
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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 sumv2 = vzip1q_f32(sumv0, sumv1);
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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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#if defined(__ARM_NEON)
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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float32x4_t sumv1 = vdupq_n_f32(0.0f);
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@ -3967,15 +4042,89 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, const void * restrict vx,
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#endif
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}
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void ggml_vec_dot_q4_1_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * 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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#if defined(__ARM_FEATURE_MATMUL_INT8)
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assert((nrc == 2) || (nrc == 1));
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#else
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assert(nrc == 1);
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#endif
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const block_q4_1 * restrict x = vx;
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const block_q8_1 * restrict y = vy;
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#if defined(__ARM_FEATURE_MATMUL_INT8)
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if (nrc == 2) {
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const block_q4_1 * restrict vx0 = vx;
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const block_q4_1 * restrict vx1 = vx + bx;
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const block_q8_1 * restrict vy0 = vy;
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const block_q8_1 * restrict vy1 = vy + by;
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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float32x4_t summs0 = vdupq_n_f32(0.0f);
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for (int i = 0; i < nb; i++) {
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const block_q4_1 * restrict b_x0 = &vx0[i];
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const block_q4_1 * restrict b_x1 = &vx1[i];
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const block_q8_1 * restrict b_y0 = &vy0[i];
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const block_q8_1 * restrict b_y1 = &vy1[i];
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float32x4_t summs_t = {GGML_FP16_TO_FP32(b_x0->m) * b_y0->s,
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GGML_FP16_TO_FP32(b_x1->m) * b_y0->s,
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GGML_FP16_TO_FP32(b_x0->m) * b_y1->s,
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GGML_FP16_TO_FP32(b_x1->m) * b_y1->s};
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summs0 += summs_t;
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const uint8x16_t m4b = vdupq_n_u8(0x0F);
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const uint8x16_t v0_0 = vld1q_u8(b_x0->qs);
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const uint8x16_t v0_1 = vld1q_u8(b_x1->qs);
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// 4-bit -> 8-bit
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const int8x16_t x0_l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
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const int8x16_t x0_h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
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const int8x16_t x1_l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
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const int8x16_t x1_h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
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// load y
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const int8x16_t y0_l = vld1q_s8(b_y0->qs);
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const int8x16_t y0_h = vld1q_s8(b_y0->qs + 16);
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const int8x16_t y1_l = vld1q_s8(b_y1->qs);
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const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
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// mmla into int32x4_t
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float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
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GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
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GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
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GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
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int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
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int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
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int8x16_t l2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
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int8x16_t l3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
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int8x16_t r0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
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int8x16_t r1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
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int8x16_t r2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
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int8x16_t r3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
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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 sumv2 = vzip1q_f32(sumv0, sumv1);
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sumv2 = sumv2 + summs0;
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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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// TODO: add WASM SIMD
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#if defined(__ARM_NEON)
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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@ -4107,12 +4256,17 @@ void ggml_vec_dot_q4_1_q8_1(const int n, float * restrict s, const void * restri
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#endif
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}
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void ggml_vec_dot_q5_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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void ggml_vec_dot_q5_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * 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 * restrict x = vx;
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const block_q8_0 * restrict y = vy;
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@ -4393,12 +4547,17 @@ void ggml_vec_dot_q5_0_q8_0(const int n, float * restrict s, const void * restri
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#endif
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}
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void ggml_vec_dot_q5_1_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * 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 * restrict x = vx;
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const block_q8_1 * restrict y = vy;
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@ -4692,15 +4851,75 @@ void ggml_vec_dot_q5_1_q8_1(const int n, float * restrict s, const void * restri
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#endif
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}
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void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * 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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#if defined(__ARM_FEATURE_MATMUL_INT8)
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assert((nrc == 2) || (nrc == 1));
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#else
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assert(nrc == 1);
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#endif
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const block_q8_0 * restrict x = vx;
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const block_q8_0 * restrict y = vy;
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#if defined(__ARM_FEATURE_MATMUL_INT8)
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if (nrc == 2) {
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const block_q8_0 * restrict vx0 = vx;
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const block_q8_0 * restrict vx1 = vx + bx;
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const block_q8_0 * restrict vy0 = vy;
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const block_q8_0 * restrict vy1 = vy + by;
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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for (int i = 0; i < nb; i++) {
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const block_q8_0 * restrict b_x0 = &vx0[i];
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const block_q8_0 * restrict b_y0 = &vy0[i];
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const block_q8_0 * restrict b_x1 = &vx1[i];
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const block_q8_0 * restrict b_y1 = &vy1[i];
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const int8x16_t x0_l = vld1q_s8(b_x0->qs);
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const int8x16_t x0_h = vld1q_s8(b_x0->qs + 16);
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const int8x16_t x1_l = vld1q_s8(b_x1->qs);
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const int8x16_t x1_h = vld1q_s8(b_x1->qs + 16);
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// load y
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const int8x16_t y0_l = vld1q_s8(b_y0->qs);
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const int8x16_t y0_h = vld1q_s8(b_y0->qs + 16);
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const int8x16_t y1_l = vld1q_s8(b_y1->qs);
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const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
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|
||||
float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
|
||||
GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
|
||||
GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
|
||||
GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
|
||||
|
||||
int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
||||
int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
||||
|
||||
int8x16_t l2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
||||
int8x16_t l3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
||||
|
||||
int8x16_t r0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
||||
int8x16_t r1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
||||
|
||||
int8x16_t r2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
||||
int8x16_t r3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
||||
|
||||
sumv0 = vmlaq_f32(sumv0,(vcvtq_f32_s32(vmmlaq_s32((vmmlaq_s32((vmmlaq_s32((vmmlaq_s32(vdupq_n_s32(0), l0, r0)),
|
||||
l1, r1)), l2, r2)), l3, r3))), scale);
|
||||
}
|
||||
float32x4_t sumv1 = vextq_f32(sumv0, sumv0, 2);
|
||||
float32x4_t sumv2 = vzip1q_f32(sumv0, sumv1);
|
||||
|
||||
vst1_f32(s, vget_low_f32(sumv2));
|
||||
vst1_f32(s + bs, vget_high_f32(sumv2));
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
#if defined(__ARM_NEON)
|
||||
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
||||
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
||||
@ -4795,7 +5014,12 @@ void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restri
|
||||
}
|
||||
|
||||
#if QK_K == 256
|
||||
void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q2_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -5171,7 +5395,12 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
|
||||
#else
|
||||
|
||||
void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q2_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -5429,8 +5658,13 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
#endif
|
||||
|
||||
#if QK_K == 256
|
||||
void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const uint32_t kmask1 = 0x03030303;
|
||||
const uint32_t kmask2 = 0x0f0f0f0f;
|
||||
@ -5949,8 +6183,13 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
|
||||
#else
|
||||
|
||||
void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q3_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -6292,8 +6531,13 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
#endif
|
||||
|
||||
#if QK_K == 256
|
||||
void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q4_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -6648,8 +6892,13 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
#endif
|
||||
}
|
||||
#else
|
||||
void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q4_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -6891,8 +7140,13 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
#endif
|
||||
|
||||
#if QK_K == 256
|
||||
void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q5_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -7311,8 +7565,13 @@ void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
|
||||
#else
|
||||
|
||||
void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q5_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -7577,8 +7836,13 @@ void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
|
||||
|
||||
#if QK_K == 256
|
||||
void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q6_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -8009,8 +8273,13 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri
|
||||
|
||||
#else
|
||||
|
||||
void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_q6_K * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -8339,8 +8608,13 @@ static const int8_t keven_signs_q2xs[1024] = {
|
||||
1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1,
|
||||
};
|
||||
|
||||
void ggml_vec_dot_iq2_xxs_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_iq2_xxs * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -8462,8 +8736,13 @@ void ggml_vec_dot_iq2_xxs_q8_K(const int n, float * restrict s, const void * res
|
||||
#endif
|
||||
}
|
||||
|
||||
void ggml_vec_dot_iq2_xs_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_iq2_xs * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
@ -8682,8 +8961,13 @@ void ggml_vec_dot_iq2_xs_q8_K(const int n, float * restrict s, const void * rest
|
||||
}
|
||||
|
||||
// TODO
|
||||
void ggml_vec_dot_iq3_xxs_q8_K(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
||||
assert(n % QK_K == 0);
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
const block_iq3_xxs * restrict x = vx;
|
||||
const block_q8_K * restrict y = vy;
|
||||
|
||||
@ -245,20 +245,20 @@ void dequantize_row_iq2_xs (const block_iq2_xs * GGML_RESTRICT x, float * GGML_
|
||||
void dequantize_row_iq3_xxs(const block_iq3_xxs * GGML_RESTRICT x, float * GGML_RESTRICT y, int k);
|
||||
|
||||
// Dot product
|
||||
void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q4_1_q8_1(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q5_1_q8_1(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q4_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);
|
||||
void ggml_vec_dot_q4_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);
|
||||
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);
|
||||
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);
|
||||
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);
|
||||
|
||||
void ggml_vec_dot_q2_K_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q3_K_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q4_K_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q5_K_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_iq2_xs_q8_K (int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy);
|
||||
void ggml_vec_dot_q2_K_q8_K(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);
|
||||
void ggml_vec_dot_q3_K_q8_K(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);
|
||||
void ggml_vec_dot_q4_K_q8_K(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);
|
||||
void ggml_vec_dot_q5_K_q8_K(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);
|
||||
void ggml_vec_dot_q6_K_q8_K(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);
|
||||
void ggml_vec_dot_iq2_xxs_q8_K(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);
|
||||
void ggml_vec_dot_iq2_xs_q8_K (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);
|
||||
void ggml_vec_dot_iq3_xxs_q8_K(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);
|
||||
|
||||
//
|
||||
// Quantization utilizing an importance matrix (a.k.a. "Activation aWare Quantization")
|
||||
|
||||
164
ggml.c
164
ggml.c
@ -428,8 +428,8 @@ int64_t ggml_cycles_per_ms(void) {
|
||||
|
||||
static const size_t CACHE_LINE_SIZE_F32 = CACHE_LINE_SIZE/sizeof(float);
|
||||
|
||||
static void ggml_vec_dot_f32(const int n, float * restrict s, const float * restrict x, const float * restrict y);
|
||||
static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t * restrict x, ggml_fp16_t * restrict y);
|
||||
static void ggml_vec_dot_f32(int n, float * restrict s, size_t bs, const float * restrict x, size_t bx, const float * restrict y, size_t by, int nrc);
|
||||
static void ggml_vec_dot_f16(int n, float * restrict s, size_t bs, ggml_fp16_t * restrict x, size_t bx, ggml_fp16_t * restrict y, size_t by, int nrc);
|
||||
|
||||
static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
[GGML_TYPE_I8] = {
|
||||
@ -457,6 +457,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.is_quantized = false,
|
||||
.vec_dot = (ggml_vec_dot_t) ggml_vec_dot_f32,
|
||||
.vec_dot_type = GGML_TYPE_F32,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_F16] = {
|
||||
.type_name = "f16",
|
||||
@ -468,6 +469,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) ggml_fp32_to_fp16_row,
|
||||
.vec_dot = (ggml_vec_dot_t) ggml_vec_dot_f16,
|
||||
.vec_dot_type = GGML_TYPE_F16,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q4_0] = {
|
||||
.type_name = "q4_0",
|
||||
@ -479,6 +481,11 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q4_0_reference,
|
||||
.vec_dot = ggml_vec_dot_q4_0_q8_0,
|
||||
.vec_dot_type = GGML_TYPE_Q8_0,
|
||||
#if defined (__ARM_FEATURE_MATMUL_INT8)
|
||||
.nrows = 2,
|
||||
#else
|
||||
.nrows = 1,
|
||||
#endif
|
||||
},
|
||||
[GGML_TYPE_Q4_1] = {
|
||||
.type_name = "q4_1",
|
||||
@ -490,6 +497,11 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q4_1_reference,
|
||||
.vec_dot = ggml_vec_dot_q4_1_q8_1,
|
||||
.vec_dot_type = GGML_TYPE_Q8_1,
|
||||
#if defined (__ARM_FEATURE_MATMUL_INT8)
|
||||
.nrows = 2,
|
||||
#else
|
||||
.nrows = 1,
|
||||
#endif
|
||||
},
|
||||
[4] = { // GGML_TYPE_Q4_2
|
||||
.type_name = "DEPRECATED",
|
||||
@ -501,6 +513,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = NULL,
|
||||
.vec_dot = NULL,
|
||||
.vec_dot_type = GGML_TYPE_COUNT,
|
||||
.nrows = 1,
|
||||
},
|
||||
[5] = { // GGML_TYPE_Q4_3
|
||||
.type_name = "DEPRECATED",
|
||||
@ -512,6 +525,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = NULL,
|
||||
.vec_dot = NULL,
|
||||
.vec_dot_type = GGML_TYPE_COUNT,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q5_0] = {
|
||||
.type_name = "q5_0",
|
||||
@ -523,6 +537,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q5_0_reference,
|
||||
.vec_dot = ggml_vec_dot_q5_0_q8_0,
|
||||
.vec_dot_type = GGML_TYPE_Q8_0,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q5_1] = {
|
||||
.type_name = "q5_1",
|
||||
@ -534,6 +549,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q5_1_reference,
|
||||
.vec_dot = ggml_vec_dot_q5_1_q8_1,
|
||||
.vec_dot_type = GGML_TYPE_Q8_1,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q8_0] = {
|
||||
.type_name = "q8_0",
|
||||
@ -545,6 +561,11 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q8_0_reference,
|
||||
.vec_dot = ggml_vec_dot_q8_0_q8_0,
|
||||
.vec_dot_type = GGML_TYPE_Q8_0,
|
||||
#if defined (__ARM_FEATURE_MATMUL_INT8)
|
||||
.nrows = 2,
|
||||
#else
|
||||
.nrows = 1,
|
||||
#endif
|
||||
},
|
||||
[GGML_TYPE_Q8_1] = {
|
||||
.type_name = "q8_1",
|
||||
@ -554,6 +575,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float = quantize_row_q8_1,
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q8_1_reference,
|
||||
.vec_dot_type = GGML_TYPE_Q8_1,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q2_K] = {
|
||||
.type_name = "q2_K",
|
||||
@ -565,6 +587,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q2_K_reference,
|
||||
.vec_dot = ggml_vec_dot_q2_K_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q3_K] = {
|
||||
.type_name = "q3_K",
|
||||
@ -576,6 +599,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q3_K_reference,
|
||||
.vec_dot = ggml_vec_dot_q3_K_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q4_K] = {
|
||||
.type_name = "q4_K",
|
||||
@ -587,6 +611,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q4_K_reference,
|
||||
.vec_dot = ggml_vec_dot_q4_K_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q5_K] = {
|
||||
.type_name = "q5_K",
|
||||
@ -598,6 +623,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q5_K_reference,
|
||||
.vec_dot = ggml_vec_dot_q5_K_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q6_K] = {
|
||||
.type_name = "q6_K",
|
||||
@ -609,6 +635,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t) quantize_row_q6_K_reference,
|
||||
.vec_dot = ggml_vec_dot_q6_K_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_IQ2_XXS] = {
|
||||
.type_name = "iq2_xxs",
|
||||
@ -620,6 +647,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = NULL,
|
||||
.vec_dot = ggml_vec_dot_iq2_xxs_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_IQ2_XS] = {
|
||||
.type_name = "iq2_xs",
|
||||
@ -631,6 +659,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = NULL,
|
||||
.vec_dot = ggml_vec_dot_iq2_xs_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_IQ3_XXS] = {
|
||||
.type_name = "iq3_xxs",
|
||||
@ -642,6 +671,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float_reference = (ggml_from_float_t)quantize_row_iq3_xxs_reference,
|
||||
.vec_dot = ggml_vec_dot_iq3_xxs_q8_K,
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
},
|
||||
[GGML_TYPE_Q8_K] = {
|
||||
.type_name = "q8_K",
|
||||
@ -1212,7 +1242,13 @@ inline static void ggml_vec_neg_f32 (const int n, float * y, const float * x)
|
||||
inline static void ggml_vec_mul_f32 (const int n, float * z, const float * x, const float * y) { for (int i = 0; i < n; ++i) z[i] = x[i]*y[i]; }
|
||||
inline static void ggml_vec_div_f32 (const int n, float * z, const float * x, const float * y) { for (int i = 0; i < n; ++i) z[i] = x[i]/y[i]; }
|
||||
|
||||
static void ggml_vec_dot_f32(const int n, float * restrict s, const float * restrict x, const float * restrict y) {
|
||||
static void ggml_vec_dot_f32(int n, float * restrict s, size_t bs, const float * restrict x, size_t bx, const float * restrict y, size_t by, int nrc) {
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
#ifdef GGML_SIMD
|
||||
float sumf = 0.0f;
|
||||
const int np = (n & ~(GGML_F32_STEP - 1));
|
||||
@ -1249,7 +1285,13 @@ static void ggml_vec_dot_f32(const int n, float * restrict s, const float * rest
|
||||
*s = sumf;
|
||||
}
|
||||
|
||||
static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t * restrict x, ggml_fp16_t * restrict y) {
|
||||
static void ggml_vec_dot_f16(int n, float * restrict s, size_t bs, ggml_fp16_t * restrict x, size_t bx, ggml_fp16_t * restrict y, size_t by, int nrc) {
|
||||
assert(nrc == 1);
|
||||
UNUSED(nrc);
|
||||
UNUSED(bx);
|
||||
UNUSED(by);
|
||||
UNUSED(bs);
|
||||
|
||||
ggml_float sumf = 0.0;
|
||||
|
||||
#if defined(GGML_SIMD)
|
||||
@ -1455,7 +1497,7 @@ inline static void ggml_vec_scale_f32(const int n, float * y, const float v) {
|
||||
#endif
|
||||
}
|
||||
|
||||
inline static void ggml_vec_norm_f32 (const int n, float * s, const float * x) { ggml_vec_dot_f32(n, s, x, x); *s = sqrtf(*s); }
|
||||
inline static void ggml_vec_norm_f32 (const int n, float * s, const float * x) { ggml_vec_dot_f32(n, s, 0, x, 0, x, 0, 1); *s = sqrtf(*s); }
|
||||
inline static void ggml_vec_sqr_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = x[i]*x[i]; }
|
||||
inline static void ggml_vec_sqrt_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = sqrtf(x[i]); }
|
||||
inline static void ggml_vec_log_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = logf(x[i]); }
|
||||
@ -9992,6 +10034,7 @@ static void ggml_compute_forward_mul_mat(
|
||||
ggml_vec_dot_t const vec_dot = type_traits[type].vec_dot;
|
||||
enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type;
|
||||
ggml_from_float_t const from_float_to_vec_dot = type_traits[vec_dot_type].from_float;
|
||||
int64_t const vec_dot_num_rows = type_traits[type].nrows;
|
||||
|
||||
GGML_ASSERT(ne0 == ne01);
|
||||
GGML_ASSERT(ne1 == ne11);
|
||||
@ -10159,12 +10202,23 @@ static void ggml_compute_forward_mul_mat(
|
||||
const int64_t blck_0 = 16;
|
||||
const int64_t blck_1 = 16;
|
||||
|
||||
// dot kernels can handle 1 row and col at a time, but mmla kernels can process 2 rows and cols
|
||||
int64_t nrc = vec_dot_num_rows;
|
||||
// TODO: currently the mmla kernels support only even numbered rows/cols.
|
||||
// this check can be removed once they are extended to support odd numbered rows/cols too
|
||||
if ((nr0 % 2 != 0) || (ne11 % 2 != 0)) {
|
||||
nrc = 1;
|
||||
}
|
||||
|
||||
const size_t src1_col_stride = src1_cont || src1->type != vec_dot_type ? row_size : nb11;
|
||||
|
||||
// attempt to reduce false-sharing (does not seem to make a difference)
|
||||
float tmp[16];
|
||||
// 16 * 2, accounting for mmla kernels
|
||||
float tmp[32];
|
||||
|
||||
for (int64_t iir1 = ir110; iir1 < ir111; iir1 += blck_1) {
|
||||
for (int64_t iir0 = ir010; iir0 < ir011; iir0 += blck_0) {
|
||||
for (int64_t ir1 = iir1; ir1 < iir1 + blck_1 && ir1 < ir111; ++ir1) {
|
||||
for (int64_t ir1 = iir1; ir1 < iir1 + blck_1 && ir1 < ir111; ir1 += nrc) {
|
||||
const int64_t i13 = (ir1/(ne12*ne1));
|
||||
const int64_t i12 = (ir1 - i13*ne12*ne1)/ne1;
|
||||
const int64_t i11 = (ir1 - i13*ne12*ne1 - i12*ne1);
|
||||
@ -10187,17 +10241,19 @@ static void ggml_compute_forward_mul_mat(
|
||||
(src1_cont || src1->type != vec_dot_type
|
||||
? (i11 + i12*ne11 + i13*ne12*ne11)*row_size
|
||||
: (i11*nb11 + i12*nb12 + i13*nb13));
|
||||
|
||||
float * dst_col = (float *) ((char *) dst->data + (i1*nb1 + i2*nb2 + i3*nb3));
|
||||
|
||||
//for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ++ir0) {
|
||||
// vec_dot(ne00, &dst_col[ir0], src0_row + ir0*nb01, src1_col);
|
||||
//}
|
||||
|
||||
for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ++ir0) {
|
||||
vec_dot(ne00, &tmp[ir0 - iir0], src0_row + ir0*nb01, src1_col);
|
||||
for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ir0 += nrc) {
|
||||
vec_dot(ne00, &tmp[ir0 - iir0], (nrc>1 ? 16 : 0), src0_row + ir0*nb01, (nrc>1 ? nb01 : 0), src1_col, (nrc>1 ? src1_col_stride : 0), nrc);
|
||||
}
|
||||
|
||||
for (int cn = 0; cn < nrc; ++cn) {
|
||||
memcpy(&dst_col[iir0 + cn*nb1/nb0], tmp + (cn*16), (MIN(iir0 + blck_0, ir011) - iir0)*sizeof(float));
|
||||
}
|
||||
memcpy(&dst_col[iir0], tmp, (MIN(iir0 + blck_0, ir011) - iir0)*sizeof(float));
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -10386,7 +10442,7 @@ static void ggml_compute_forward_mul_mat_id(
|
||||
//}
|
||||
|
||||
for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ++ir0) {
|
||||
vec_dot(ne00, &tmp[ir0 - iir0], src0_row + ir0*nb01, src1_col);
|
||||
vec_dot(ne00, &tmp[ir0 - iir0], 0, src0_row + ir0*nb01, 0, src1_col, 0, 1);
|
||||
}
|
||||
memcpy(&dst_col[iir0], tmp, (MIN(iir0 + blck_0, ir011) - iir0)*sizeof(float));
|
||||
}
|
||||
@ -11568,7 +11624,7 @@ static void ggml_compute_forward_soft_max_back_f32(
|
||||
|
||||
// linear runtime, no additional memory
|
||||
float dot_y_dy = 0;
|
||||
ggml_vec_dot_f32 (nc, &dot_y_dy, y, dy);
|
||||
ggml_vec_dot_f32 (nc, &dot_y_dy, 0, y, 0, dy, 0, 1);
|
||||
ggml_vec_cpy_f32 (nc, dx, dy);
|
||||
ggml_vec_acc1_f32(nc, dx, -dot_y_dy);
|
||||
ggml_vec_mul_f32 (nc, dx, dx, y);
|
||||
@ -12369,9 +12425,9 @@ static void ggml_compute_forward_conv_transpose_1d_f16_f32(
|
||||
const int i1n = i10*ne11;
|
||||
for (int i00 = 0; i00 < ne00; i00++) {
|
||||
float v = 0;
|
||||
ggml_vec_dot_f16(ne02, &v,
|
||||
(ggml_fp16_t *) wdata_src + i1n,
|
||||
(ggml_fp16_t *) wdata_kernel + i00*ne02);
|
||||
ggml_vec_dot_f16(ne02, &v, 0,
|
||||
(ggml_fp16_t *) wdata_src + i1n, 0,
|
||||
(ggml_fp16_t *) wdata_kernel + i00*ne02, 0, 1);
|
||||
dst_data[i10*s0 + i00] += v;
|
||||
}
|
||||
}
|
||||
@ -12466,9 +12522,9 @@ static void ggml_compute_forward_conv_transpose_1d_f32(
|
||||
const int i1n = i10*ne11;
|
||||
for (int i00 = 0; i00 < ne00; i00++) {
|
||||
float v = 0;
|
||||
ggml_vec_dot_f32(ne02, &v,
|
||||
wdata_src + i1n,
|
||||
wdata_kernel + i00*ne02);
|
||||
ggml_vec_dot_f32(ne02, &v, 0,
|
||||
wdata_src + i1n, 0,
|
||||
wdata_kernel + i00*ne02, 0, 1);
|
||||
dst_data[i10*s0 + i00] += v;
|
||||
}
|
||||
}
|
||||
@ -12783,9 +12839,9 @@ static void ggml_compute_forward_conv_transpose_2d(
|
||||
for (int i01 = 0; i01 < ne01; i01++) {
|
||||
for (int i00 = 0; i00 < ne00; i00++) {
|
||||
float v = 0;
|
||||
ggml_vec_dot_f16(ne03, &v,
|
||||
wdata_src + i1n,
|
||||
wdata_kernel + i01*ne00*ne03 + i00*ne03);
|
||||
ggml_vec_dot_f16(ne03, &v, 0,
|
||||
wdata_src + i1n, 0,
|
||||
wdata_kernel + i01*ne00*ne03 + i00*ne03, 0, 1);
|
||||
dst_data[(i11*stride + i01)*ne0 + i10*stride + i00] += v;
|
||||
}
|
||||
}
|
||||
@ -13214,9 +13270,9 @@ static void ggml_compute_forward_flash_attn_f32(
|
||||
const int i1 = ik1;
|
||||
|
||||
ggml_vec_dot_f32(neq0,
|
||||
S + i1,
|
||||
(float *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)),
|
||||
(float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)));
|
||||
S + i1, 0,
|
||||
(float *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)), 0,
|
||||
(float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)), 0, 1);
|
||||
}
|
||||
|
||||
// scale
|
||||
@ -13299,9 +13355,9 @@ static void ggml_compute_forward_flash_attn_f32(
|
||||
const int iv3 = iq3;
|
||||
|
||||
ggml_vec_dot_f32(masked_begin,
|
||||
(float *) ((char *) dst->data + (ic*nb0 + i1*nb1 + i2*nb2 + i3*nb3)),
|
||||
(float *) ((char *) v->data + ( ic*nbv1 + iv2*nbv2 + iv3*nbv3)),
|
||||
S);
|
||||
(float *) ((char *) dst->data + (ic*nb0 + i1*nb1 + i2*nb2 + i3*nb3)), 0,
|
||||
(float *) ((char *) v->data + ( ic*nbv1 + iv2*nbv2 + iv3*nbv3)), 0,
|
||||
S, 0, 1);
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -13404,9 +13460,9 @@ static void ggml_compute_forward_flash_attn_f16(
|
||||
const int i1 = ik1;
|
||||
|
||||
ggml_vec_dot_f16(neq0,
|
||||
S + i1,
|
||||
(ggml_fp16_t *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)),
|
||||
(ggml_fp16_t *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)));
|
||||
S + i1, 0,
|
||||
(ggml_fp16_t *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)), 0,
|
||||
(ggml_fp16_t *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)), 0, 1);
|
||||
}
|
||||
} else {
|
||||
for (int64_t ic = 0; ic < nek1; ic += GGML_VEC_DOT_UNROLL) {
|
||||
@ -13508,9 +13564,9 @@ static void ggml_compute_forward_flash_attn_f16(
|
||||
const int iv3 = iq3;
|
||||
|
||||
ggml_vec_dot_f16(nev0,
|
||||
(float *) ((char *) dst->data + (ic*nb0 + i1*nb1 + i2*nb2 + i3*nb3)),
|
||||
(ggml_fp16_t *) ((char *) v->data + ( ic*nbv1 + iv2*nbv2 + iv3*nbv3)),
|
||||
S16);
|
||||
(float *) ((char *) dst->data + (ic*nb0 + i1*nb1 + i2*nb2 + i3*nb3)), 0,
|
||||
(ggml_fp16_t *) ((char *) v->data + ( ic*nbv1 + iv2*nbv2 + iv3*nbv3)), 0,
|
||||
S16, 0, 1);
|
||||
}
|
||||
} else {
|
||||
for (int64_t ic = 0; ic < nev1; ic += GGML_VEC_DOT_UNROLL) {
|
||||
@ -13652,9 +13708,9 @@ static void ggml_compute_forward_flash_ff_f16(
|
||||
const int i1 = ib01;
|
||||
|
||||
ggml_vec_dot_f16(nea0,
|
||||
S + i1,
|
||||
(ggml_fp16_t *) ((char *) b0->data + (ib01*nbb01 + ib02*nbb02 + ib03*nbb03)),
|
||||
(ggml_fp16_t *) ((char *) a->data + ( ia1*nba1 + ia2*nba2 + ia3*nba3)));
|
||||
S + i1, 0,
|
||||
(ggml_fp16_t *) ((char *) b0->data + (ib01*nbb01 + ib02*nbb02 + ib03*nbb03)), 0,
|
||||
(ggml_fp16_t *) ((char *) a->data + ( ia1*nba1 + ia2*nba2 + ia3*nba3)), 0, 1);
|
||||
}
|
||||
|
||||
ggml_vec_add_f32(neb01, S, S, (float *) b1->data);
|
||||
@ -13677,9 +13733,9 @@ static void ggml_compute_forward_flash_ff_f16(
|
||||
for (int64_t ic = 0; ic < nec01; ++ic) {
|
||||
|
||||
ggml_vec_dot_f16(neb01,
|
||||
(float *) ((char *) dst->data + (ic*nb0 + i1*nb1 + i2*nb2 + i3*nb3)),
|
||||
(ggml_fp16_t *) ((char *) c0->data + ( ic*nbc01 + i2*nbc02 + i3*nbc03)),
|
||||
S16);
|
||||
(float *) ((char *) dst->data + (ic*nb0 + i1*nb1 + i2*nb2 + i3*nb3)), 0,
|
||||
(ggml_fp16_t *) ((char *) c0->data + ( ic*nbc01 + i2*nbc02 + i3*nbc03)), 0,
|
||||
S16, 0, 1);
|
||||
}
|
||||
|
||||
ggml_vec_add_f32(nec01,
|
||||
@ -13866,9 +13922,9 @@ static void ggml_compute_forward_flash_attn_back_f32(
|
||||
const int i1 = ik1;
|
||||
|
||||
ggml_vec_dot_f32(neq0,
|
||||
S + i1,
|
||||
(float *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)),
|
||||
(float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)));
|
||||
S + i1, 0,
|
||||
(float *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)), 0,
|
||||
(float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)), 0, 1);
|
||||
}
|
||||
|
||||
// scale
|
||||
@ -14013,7 +14069,7 @@ static void ggml_compute_forward_flash_attn_back_f32(
|
||||
|
||||
// S = SM * (S - dot(SM, S))
|
||||
float dot_SM_gradSM = 0;
|
||||
ggml_vec_dot_f32 (masked_begin, &dot_SM_gradSM, SM, S);
|
||||
ggml_vec_dot_f32 (masked_begin, &dot_SM_gradSM, 0, SM, 0, S, 0, 1);
|
||||
ggml_vec_acc1_f32(M, S, -dot_SM_gradSM);
|
||||
ggml_vec_mul_f32 (masked_begin, S, S, SM);
|
||||
|
||||
@ -18382,7 +18438,7 @@ static enum ggml_opt_result linesearch_backtracking(
|
||||
}
|
||||
|
||||
// compute the initial gradient in the search direction
|
||||
ggml_vec_dot_f32(nx, &dginit, g, d);
|
||||
ggml_vec_dot_f32(nx, &dginit, 0, g, 0, d, 0, 1);
|
||||
|
||||
// make sure that d points to a descent direction
|
||||
if (0 < dginit) {
|
||||
@ -18432,7 +18488,7 @@ static enum ggml_opt_result linesearch_backtracking(
|
||||
return count;
|
||||
}
|
||||
|
||||
ggml_vec_dot_f32(nx, &dg, g, d);
|
||||
ggml_vec_dot_f32(nx, &dg, 0, g, 0, d, 0, 1);
|
||||
|
||||
// check the Wolfe condition
|
||||
if (dg < params->lbfgs.wolfe * dginit) {
|
||||
@ -18693,8 +18749,8 @@ static enum ggml_opt_result ggml_opt_lbfgs(
|
||||
// ys = y^t \cdot s -> 1 / \rho.
|
||||
// yy = y^t \cdot y.
|
||||
//
|
||||
ggml_vec_dot_f32(nx, &ys, &lm_y[end[0]*nx], &lm_s[end[0]*nx]);
|
||||
ggml_vec_dot_f32(nx, &yy, &lm_y[end[0]*nx], &lm_y[end[0]*nx]);
|
||||
ggml_vec_dot_f32(nx, &ys, 0, &lm_y[end[0]*nx], 0, &lm_s[end[0]*nx], 0, 1);
|
||||
ggml_vec_dot_f32(nx, &yy, 0, &lm_y[end[0]*nx], 0, &lm_y[end[0]*nx], 0, 1);
|
||||
|
||||
lm_ys[end[0]] = ys;
|
||||
|
||||
@ -18713,7 +18769,7 @@ static enum ggml_opt_result ggml_opt_lbfgs(
|
||||
for (int i = 0; i < bound; ++i) {
|
||||
j[0] = (j[0] + m - 1) % m;
|
||||
// \alpha_{j} = \rho_{j} s^{t}_{j} \cdot q_{k+1}
|
||||
ggml_vec_dot_f32(nx, &lm_alpha[j[0]], &lm_s[j[0]*nx], d);
|
||||
ggml_vec_dot_f32(nx, &lm_alpha[j[0]], 0, &lm_s[j[0]*nx], 0, d, 0, 1);
|
||||
lm_alpha[j[0]] /= lm_ys[j[0]];
|
||||
// q_{i} = q_{i+1} - \alpha_{i} y_{i}
|
||||
ggml_vec_mad_f32(nx, d, &lm_y[j[0]*nx], -lm_alpha[j[0]]);
|
||||
@ -18723,7 +18779,7 @@ static enum ggml_opt_result ggml_opt_lbfgs(
|
||||
|
||||
for (int i = 0; i < bound; ++i) {
|
||||
// \beta_{j} = \rho_{j} y^t_{j} \cdot \gamma_{i}
|
||||
ggml_vec_dot_f32(nx, &beta, &lm_y[j[0]*nx], d);
|
||||
ggml_vec_dot_f32(nx, &beta, 0, &lm_y[j[0]*nx], 0, d, 0, 1);
|
||||
beta /= lm_ys[j[0]];
|
||||
// \gamma_{i+1} = \gamma_{i} + (\alpha_{j} - \beta_{j}) s_{j}
|
||||
ggml_vec_mad_f32(nx, d, &lm_s[j[0]*nx], lm_alpha[j[0]] - beta);
|
||||
@ -20611,4 +20667,12 @@ int ggml_cpu_has_vsx(void) {
|
||||
#endif
|
||||
}
|
||||
|
||||
int ggml_cpu_has_matmul_int8(void) {
|
||||
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
||||
return 1;
|
||||
#else
|
||||
return 0;
|
||||
#endif
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
5
ggml.h
5
ggml.h
@ -2278,6 +2278,7 @@ extern "C" {
|
||||
GGML_API int ggml_cpu_has_ssse3 (void);
|
||||
GGML_API int ggml_cpu_has_sycl (void);
|
||||
GGML_API int ggml_cpu_has_vsx (void);
|
||||
GGML_API int ggml_cpu_has_matmul_int8(void);
|
||||
|
||||
//
|
||||
// Internal types and functions exposed for tests and benchmarks
|
||||
@ -2291,7 +2292,8 @@ extern "C" {
|
||||
#endif
|
||||
typedef void (*ggml_to_float_t) (const void * GGML_RESTRICT x, float * GGML_RESTRICT y, int k);
|
||||
typedef void (*ggml_from_float_t)(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int k);
|
||||
typedef void (*ggml_vec_dot_t) (const int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT x, const void * GGML_RESTRICT y);
|
||||
typedef void (*ggml_vec_dot_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x, size_t bx,
|
||||
const void * GGML_RESTRICT y, size_t by, int nrc);
|
||||
|
||||
typedef struct {
|
||||
const char * type_name;
|
||||
@ -2303,6 +2305,7 @@ extern "C" {
|
||||
ggml_from_float_t from_float_reference;
|
||||
ggml_vec_dot_t vec_dot;
|
||||
enum ggml_type vec_dot_type;
|
||||
int64_t nrows; // number of rows to process simultaneously;
|
||||
} ggml_type_traits_t;
|
||||
|
||||
GGML_API ggml_type_traits_t ggml_internal_get_type_traits(enum ggml_type type);
|
||||
|
||||
@ -11869,6 +11869,7 @@ const char * llama_print_system_info(void) {
|
||||
s += "SSE3 = " + std::to_string(ggml_cpu_has_sse3()) + " | ";
|
||||
s += "SSSE3 = " + std::to_string(ggml_cpu_has_ssse3()) + " | ";
|
||||
s += "VSX = " + std::to_string(ggml_cpu_has_vsx()) + " | ";
|
||||
s += "MATMUL_INT8 = " + std::to_string(ggml_cpu_has_matmul_int8()) + " | ";
|
||||
|
||||
return s.c_str();
|
||||
}
|
||||
|
||||
@ -156,8 +156,8 @@ int main(int argc, char** argv) {
|
||||
|
||||
t1 = std::chrono::high_resolution_clock::now();
|
||||
float fs;
|
||||
if (type == 0) funcs.vec_dot(kVecSize * QK4_1, &fs, x40.data(), y.data());
|
||||
else funcs.vec_dot(kVecSize * QK4_1, &fs, x41.data(), y.data());
|
||||
if (type == 0) funcs.vec_dot(kVecSize * QK4_1, &fs, 0, x40.data(), 0, y.data(), 0, 1);
|
||||
else funcs.vec_dot(kVecSize * QK4_1, &fs, 0, x41.data(), 0, y.data(), 0, 1);
|
||||
t2 = std::chrono::high_resolution_clock::now();
|
||||
t = 1e-3*std::chrono::duration_cast<std::chrono::nanoseconds>(t2-t1).count();
|
||||
if (iloop > 3) ggml.addResult(fs, t);
|
||||
|
||||
@ -284,8 +284,8 @@ int main(int argc, char** argv) {
|
||||
else {
|
||||
auto vdot = ggml_internal_get_type_traits(funcs.vec_dot_type);
|
||||
vdot.from_float(y1.data(), q8.data(), kVecSize);
|
||||
if (useQ4_1) funcs.vec_dot(kVecSize, &result, q41.data(), q8.data());
|
||||
else funcs.vec_dot(kVecSize, &result, q40.data(), q8.data());
|
||||
if (useQ4_1) funcs.vec_dot(kVecSize, &result, 0, q41.data(), 0, q8.data(), 0, 1);
|
||||
else funcs.vec_dot(kVecSize, &result, 0, q40.data(), 0, q8.data(), 0, 1);
|
||||
}
|
||||
sumq += result;
|
||||
t2 = std::chrono::high_resolution_clock::now();
|
||||
|
||||
@ -87,7 +87,7 @@ static float dot_product_error(
|
||||
vdot.from_float(test_data2, tmp_q2.data(), test_size);
|
||||
|
||||
float result = INFINITY;
|
||||
qfns.vec_dot(test_size, &result, tmp_q1.data(), tmp_q2.data());
|
||||
qfns.vec_dot(test_size, &result, 0, tmp_q1.data(), 0, tmp_q2.data(), 0, 1);
|
||||
|
||||
const float dot_ref = dot_product(test_data1, test_data2, test_size);
|
||||
|
||||
|
||||
@ -346,7 +346,7 @@ int main(int argc, char * argv[]) {
|
||||
printf(" %zu values (%.2f MB)\n", size, 4*size/(float)(1024*1024));
|
||||
auto quantize_fn = [&](void) -> float {
|
||||
float result;
|
||||
qfns.vec_dot(size, &result, test_q1, test_q2);
|
||||
qfns.vec_dot(size, &result, 0, test_q1, 0, test_q2, 0, 1);
|
||||
return result;
|
||||
};
|
||||
size_t quantized_size = ggml_row_size(type, size);
|
||||
|
||||
Loading…
Reference in New Issue
Block a user