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ggml : use full range for Q4_0 and Q4_2 quantization (#729)
* Use full range for q4_0 quantization By keeping the sign of the highest magnitude, we can make sure the highest value maps to -8, which is currently unused. This is a bit of a freebie since it is fully backwards compatible with the current format. * Update quantize_row_q4_0 for AVX/AVX2 * Update quantize_row_q4_0 for WASM Untested * Update quantize_row_q4_0 for Arm NEON * Update quantize_row_q4_0 for PowerPC Untested * Use full range for q4_2 quantization
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dd0eabc049
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ggml.c
206
ggml.c
@ -692,13 +692,17 @@ static void quantize_row_q4_0_reference(const float * restrict x, block_q4_0 * r
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for (int i = 0; i < nb; i++) {
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float amax = 0.0f; // absolute max
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float max = 0.0f;
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for (int l = 0; l < QK4_0; l++) {
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const float v = x[i*QK4_0 + l];
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amax = MAX(amax, fabsf(v));
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if (amax < fabsf(v)) {
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amax = fabsf(v);
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max = v;
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}
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}
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const float d = amax / ((1 << 3) - 1);
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const float d = max / -8;
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const float id = d ? 1.0f/d : 0.0f;
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y[i].d = d;
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@ -707,8 +711,8 @@ static void quantize_row_q4_0_reference(const float * restrict x, block_q4_0 * r
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const float v0 = x[i*QK4_0 + l + 0]*id;
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const float v1 = x[i*QK4_0 + l + 1]*id;
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const uint8_t vi0 = (int8_t)roundf(v0) + 8;
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const uint8_t vi1 = (int8_t)roundf(v1) + 8;
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const uint8_t vi0 = MIN(15, (int8_t)roundf(v0) + 8);
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const uint8_t vi1 = MIN(15, (int8_t)roundf(v1) + 8);
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assert(vi0 < 16);
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assert(vi1 < 16);
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@ -728,28 +732,42 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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#if defined(__POWER9_VECTOR__)
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const vector float v85 = vec_splats(8.5f);
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const vector signed int v15 = vec_splats(15);
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for (int i = 0; i < nb; i++) {
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float amax = 0.0f; // absolute max
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float max = 0.0f;
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float min = 0.0f;
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vector float srcv [8];
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vector float asrcv[8];
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vector float amaxv[8];
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vector float maxv[8];
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vector float minv[8];
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for (int l = 0; l < 8; l++) srcv[l] = *(vector float *)(x + i*32 + 4*l);
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for (int l = 0; l < 8; l++) asrcv[l] = vec_abs(srcv[l]);
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//for (int l = 0; l < 8; l++) asrcv[l] = vec_abs(srcv[l]);
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for (int l = 0; l < 4; l++) amaxv[2*l] = vec_max(asrcv[2*l], asrcv[2*l+1]);
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//for (int l = 0; l < 2; l++) amaxv[4*l] = vec_max(amaxv[4*l], amaxv[4*l+2]);
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amaxv[0] = vec_max(amaxv[0], amaxv[2]);
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amaxv[4] = vec_max(amaxv[4], amaxv[6]);
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//for (int l = 0; l < 1; l++) amaxv[8*l] = vec_max(amaxv[8*l], amaxv[8*l+4]);
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amaxv[0] = vec_max(amaxv[0], amaxv[4]);
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for (int l = 0; l < 4; l++) maxv[2*l] = vec_max(asrcv[2*l], asrcv[2*l+1]);
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//for (int l = 0; l < 2; l++) maxv[4*l] = vec_max(maxv[4*l], maxv[4*l+2]);
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maxv[0] = vec_max(maxv[0], maxv[2]);
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maxv[4] = vec_max(maxv[4], maxv[6]);
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//for (int l = 0; l < 1; l++) maxv[8*l] = vec_max(maxv[8*l], maxv[8*l+4]);
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maxv[0] = vec_max(maxv[0], maxv[4]);
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amax = MAX(
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MAX(vec_extract(amaxv[0], 0), vec_extract(amaxv[0], 1)),
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MAX(vec_extract(amaxv[0], 2), vec_extract(amaxv[0], 3)));
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for (int l = 0; l < 4; l++) minv[2*l] = vec_min(asrcv[2*l], asrcv[2*l+1]);
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//for (int l = 0; l < 2; l++) minv[4*l] = vec_min(minv[4*l], minv[4*l+2]);
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minv[0] = vec_min(minv[0], minv[2]);
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minv[4] = vec_min(minv[4], minv[6]);
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//for (int l = 0; l < 1; l++) minv[8*l] = vec_min(minv[8*l], minv[8*l+4]);
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minv[0] = vec_min(minv[0], minv[4]);
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const float d = amax / ((1 << 3) - 1);
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max = MAX(
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MAX(vec_extract(maxv[0], 0), vec_extract(maxv[0], 1)),
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MAX(vec_extract(maxv[0], 2), vec_extract(maxv[0], 3)));
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min = MIN(
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MIN(vec_extract(minv[0], 0), vec_extract(minv[0], 1)),
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MIN(vec_extract(minv[0], 2), vec_extract(minv[0], 3)));
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const float magnitude = max >= fabsf(min) ? max : min;
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const float d = magnitude / -8;
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const float id = d ? 1.0/d : 0.0;
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y[i].d = d;
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@ -759,27 +777,33 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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for (int l = 0; l < 8; l++) {
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const vector float vf = vec_madd(srcv[l], vid, v85);
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const vector signed int vi = vec_signed(vf);
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const vector signed int vc = vec_min(vi, v15);
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pb[2*l + 0] = vec_extract(vi, 0) | (vec_extract(vi, 1) << 4);
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pb[2*l + 1] = vec_extract(vi, 2) | (vec_extract(vi, 3) << 4);
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pb[2*l + 0] = vec_extract(vc, 0) | (vec_extract(vc, 1) << 4);
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pb[2*l + 1] = vec_extract(vc, 2) | (vec_extract(vc, 3) << 4);
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}
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}
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#elif __ARM_NEON
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for (int i = 0; i < nb; i++) {
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float32x4_t srcv [8];
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float32x4_t asrcv[8];
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float32x4_t amaxv[8];
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float32x4_t maxv[8];
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float32x4_t minv[8];
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for (int l = 0; l < 8; l++) srcv[l] = vld1q_f32(x + i*32 + 4*l);
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for (int l = 0; l < 8; l++) asrcv[l] = vabsq_f32(srcv[l]);
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for (int l = 0; l < 4; l++) amaxv[2*l] = vmaxq_f32(asrcv[2*l], asrcv[2*l+1]);
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for (int l = 0; l < 2; l++) amaxv[4*l] = vmaxq_f32(amaxv[4*l], amaxv[4*l+2]);
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for (int l = 0; l < 1; l++) amaxv[8*l] = vmaxq_f32(amaxv[8*l], amaxv[8*l+4]);
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for (int l = 0; l < 4; l++) maxv[2*l] = vmaxq_f32(srcv[2*l], srcv[2*l+1]);
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for (int l = 0; l < 2; l++) maxv[4*l] = vmaxq_f32(maxv[4*l], maxv[4*l+2]);
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for (int l = 0; l < 1; l++) maxv[8*l] = vmaxq_f32(maxv[8*l], maxv[8*l+4]);
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const float amax = vmaxvq_f32(amaxv[0]);
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for (int l = 0; l < 4; l++) minv[2*l] = vminq_f32(srcv[2*l], srcv[2*l+1]);
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for (int l = 0; l < 2; l++) minv[4*l] = vminq_f32(minv[4*l], minv[4*l+2]);
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for (int l = 0; l < 1; l++) minv[8*l] = vminq_f32(minv[8*l], minv[8*l+4]);
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const float d = amax / ((1 << 3) - 1);
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const float max = vmaxvq_f32(maxv[0]);
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const float min = vminvq_f32(minv[0]);
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const float magnitude = max >= fabsf(min) ? max : min;
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const float d = magnitude / -8;
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const float id = d ? 1.0f/d : 0.0f;
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y[i].d = d;
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@ -788,9 +812,10 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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const float32x4_t v = vmulq_n_f32(srcv[l], id);
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const float32x4_t vf = vaddq_f32(v, vdupq_n_f32(8.5f));
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const int32x4_t vi = vcvtq_s32_f32(vf);
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const int32x4_t vc = vminq_s32(vi, vdupq_n_s32(15));
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y[i].qs[2*l + 0] = vgetq_lane_s32(vi, 0) | (vgetq_lane_s32(vi, 1) << 4);
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y[i].qs[2*l + 1] = vgetq_lane_s32(vi, 2) | (vgetq_lane_s32(vi, 3) << 4);
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y[i].qs[2*l + 0] = vgetq_lane_s32(vc, 0) | (vgetq_lane_s32(vc, 1) << 4);
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y[i].qs[2*l + 1] = vgetq_lane_s32(vc, 2) | (vgetq_lane_s32(vc, 3) << 4);
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}
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}
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#elif defined(__AVX2__)
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@ -802,22 +827,31 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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__m256 v3 = _mm256_loadu_ps( x + 24 );
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x += 32;
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// Compute max(abs(e)) for the block
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const __m256 signBit = _mm256_set1_ps( -0.0f );
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__m256 maxAbs = _mm256_andnot_ps( signBit, v0 );
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maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v1 ) );
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maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v2 ) );
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maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v3 ) );
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// Compute max for the block
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__m256 max = _mm256_max_ps( v0, v1 );
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__m256 maxTmp = _mm256_max_ps( v2, v3 );
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max = _mm256_max_ps( max, maxTmp );
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__m128 max4 = _mm_max_ps( _mm256_extractf128_ps( maxAbs, 1 ), _mm256_castps256_ps128( maxAbs ) );
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__m128 max4 = _mm_max_ps( _mm256_extractf128_ps( max, 1 ), _mm256_castps256_ps128( max ) );
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max4 = _mm_max_ps( max4, _mm_movehl_ps( max4, max4 ) );
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max4 = _mm_max_ss( max4, _mm_movehdup_ps( max4 ) );
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const float maxScalar = _mm_cvtss_f32( max4 );
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// Compute min for the block
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__m256 min = _mm256_min_ps( v0, v1 );
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__m256 minTmp = _mm256_min_ps( v2, v3 );
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min = _mm256_min_ps( min, minTmp );
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__m128 min4 = _mm_min_ps( _mm256_extractf128_ps( min, 1 ), _mm256_castps256_ps128( min ) );
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min4 = _mm_min_ps( min4, _mm_movehl_ps( min4, min4 ) );
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min4 = _mm_min_ss( min4, _mm_movehdup_ps( min4 ) );
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const float minScalar = _mm_cvtss_f32( min4 );
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// Quantize these floats
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const float d = maxScalar / 7.0f;
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const float magnitude = maxScalar >= fabsf(minScalar) ? maxScalar : minScalar;
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const float d = magnitude / -8.0f;
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y[i].d = d;
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const float id = ( maxScalar != 0.0f ) ? 7.0f / maxScalar : 0.0f;
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const float id = ( magnitude != 0.0f ) ? -8.0f / magnitude : 0.0f;
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const __m256 mul = _mm256_set1_ps( id );
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// Apply the multiplier
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@ -850,9 +884,11 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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const __m256i perm = _mm256_setr_epi32( 0, 4, 1, 5, 2, 6, 3, 7 );
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i0 = _mm256_permutevar8x32_epi32( i0, perm );
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// Apply offset to translate the range from [ -7 .. +7 ] into [ +1 .. +15 ]
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// Apply offset and clamp to translate the range from [ -8 .. +8 ] into [ +0 .. +15 ]
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const __m256i off = _mm256_set1_epi8( 8 );
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i0 = _mm256_add_epi8( i0, off );
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const __m256i maxNibble = _mm256_set1_epi8( 15 );
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i0 = _mm256_min_epi8( i0, maxNibble );
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// Compress the vector into 4 bit/value, and store
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__m128i res = packNibbles( i0 );
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@ -867,22 +903,31 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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__m256 v3 = _mm256_loadu_ps( x + 24 );
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x += 32;
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// Compute max(abs(e)) for the block
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const __m256 signBit = _mm256_set1_ps( -0.0f );
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__m256 maxAbs = _mm256_andnot_ps( signBit, v0 );
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maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v1 ) );
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maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v2 ) );
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maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v3 ) );
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// Compute max for the block
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__m256 max = _mm256_max_ps( v0, v1 );
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__m256 maxTmp = _mm256_max_ps( v2, v3 );
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max = _mm256_max_ps( max, maxTmp );
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__m128 max4 = _mm_max_ps( _mm256_extractf128_ps( maxAbs, 1 ), _mm256_castps256_ps128( maxAbs ) );
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__m128 max4 = _mm_max_ps( _mm256_extractf128_ps( max, 1 ), _mm256_castps256_ps128( max ) );
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max4 = _mm_max_ps( max4, _mm_movehl_ps( max4, max4 ) );
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max4 = _mm_max_ss( max4, _mm_movehdup_ps( max4 ) );
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const float maxScalar = _mm_cvtss_f32( max4 );
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// Compute min for the block
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__m256 min = _mm256_min_ps( v0, v1 );
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__m256 minTmp = _mm256_min_ps( v2, v3 );
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min = _mm256_min_ps( min, minTmp );
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__m128 min4 = _mm_min_ps( _mm256_extractf128_ps( min, 1 ), _mm256_castps256_ps128( min ) );
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min4 = _mm_min_ps( min4, _mm_movehl_ps( min4, min4 ) );
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min4 = _mm_min_ss( min4, _mm_movehdup_ps( min4 ) );
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const float minScalar = _mm_cvtss_f32( min4 );
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// Quantize these floats
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const float d = maxScalar / 7.0f;
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const float magnitude = maxScalar >= fabsf(minScalar) ? maxScalar : minScalar;
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const float d = magnitude / -8.0f;
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y[i].d = d;
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const float id = ( maxScalar != 0.0f ) ? 7.0f / maxScalar : 0.0f;
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const float id = ( magnitude != 0.0f ) ? -8.0f / magnitude : 0.0f;
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const __m256 mul = _mm256_set1_ps( id );
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// Apply the multiplier
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@ -923,10 +968,13 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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ni0 = _mm_packs_epi16( ni0, ni2 );
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ni4 = _mm_packs_epi16( ni4, ni6 );
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// Apply offset to translate the range from [ -7 .. +7 ] into [ +1 .. +15 ]
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const __m128i off = _mm_set1_epi8( 8);
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// Apply offset and clamp to translate the range from [ -8 .. +8 ] into [ +0 .. +15 ]
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const __m128i off = _mm_set1_epi8( 8 );
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ni0 = _mm_add_epi8( ni0, off );
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ni4 = _mm_add_epi8( ni4, off );
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const __m128i maxNibble = _mm_set1_epi8( 15 );
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ni0 = _mm_min_epi8( ni0, maxNibble );
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ni4 = _mm_min_epi8( ni4, maxNibble );
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// Compress the vector into 4 bit/value, and store
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__m128i res = packNibbles( ni0, ni4 );
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@ -934,24 +982,32 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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}
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#elif defined(__wasm_simd128__)
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for (int i = 0; i < nb; i++) {
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float amax = 0.0f; // absolute max
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float max = 0.0f;
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float min = 0.0f;
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v128_t srcv [8];
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v128_t asrcv[8];
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v128_t amaxv[8];
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v128_t maxv[8];
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v128_t minv[8];
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for (int l = 0; l < 8; l++) srcv[l] = wasm_v128_load(x + i*32 + 4*l);
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for (int l = 0; l < 8; l++) asrcv[l] = wasm_f32x4_abs(srcv[l]);
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for (int l = 0; l < 4; l++) amaxv[2*l] = wasm_f32x4_max(asrcv[2*l], asrcv[2*l+1]);
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for (int l = 0; l < 2; l++) amaxv[4*l] = wasm_f32x4_max(amaxv[4*l], amaxv[4*l+2]);
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for (int l = 0; l < 1; l++) amaxv[8*l] = wasm_f32x4_max(amaxv[8*l], amaxv[8*l+4]);
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for (int l = 0; l < 4; l++) maxv[2*l] = wasm_f32x4_max(srcv[2*l], srcv[2*l+1]);
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for (int l = 0; l < 2; l++) maxv[4*l] = wasm_f32x4_max(maxv[4*l], maxv[4*l+2]);
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for (int l = 0; l < 1; l++) maxv[8*l] = wasm_f32x4_max(maxv[8*l], maxv[8*l+4]);
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amax = MAX(
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MAX(wasm_f32x4_extract_lane(amaxv[0], 0), wasm_f32x4_extract_lane(amaxv[0], 1)),
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MAX(wasm_f32x4_extract_lane(amaxv[0], 2), wasm_f32x4_extract_lane(amaxv[0], 3)));
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for (int l = 0; l < 4; l++) minv[2*l] = wasm_f32x4_min(srcv[2*l], srcv[2*l+1]);
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for (int l = 0; l < 2; l++) minv[4*l] = wasm_f32x4_min(minv[4*l], minv[4*l+2]);
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for (int l = 0; l < 1; l++) minv[8*l] = wasm_f32x4_min(minv[8*l], minv[8*l+4]);
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const float d = amax / ((1 << 3) - 1);
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max = MAX(
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MAX(wasm_f32x4_extract_lane(maxv[0], 0), wasm_f32x4_extract_lane(maxv[0], 1)),
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MAX(wasm_f32x4_extract_lane(maxv[0], 2), wasm_f32x4_extract_lane(maxv[0], 3)));
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min = MIN(
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MIN(wasm_f32x4_extract_lane(minv[0], 0), wasm_f32x4_extract_lane(minv[0], 1)),
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MIN(wasm_f32x4_extract_lane(minv[0], 2), wasm_f32x4_extract_lane(minv[0], 3)));
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||||
const float magnitude = max >= fabsf(min) ? max : min;
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const float d = magnitude / -8;
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const float id = d ? 1.0/d : 0.0;
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||||
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||||
y[i].d = d;
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@ -960,9 +1016,10 @@ static void quantize_row_q4_0(const float * restrict x, void * restrict vy, int
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||||
const v128_t v = wasm_f32x4_mul(srcv[l], wasm_f32x4_splat(id));
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||||
const v128_t vf = wasm_f32x4_add(v, wasm_f32x4_splat(8.5f));
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||||
const v128_t vi = wasm_i32x4_trunc_sat_f32x4(vf);
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||||
const v128_t vc = wasm_i32x4_min_u(vi, wasm_i32x4_splat(15));
|
||||
|
||||
y[i].qs[2*l + 0] = wasm_i32x4_extract_lane(vi, 0) | (wasm_i32x4_extract_lane(vi, 1) << 4);
|
||||
y[i].qs[2*l + 1] = wasm_i32x4_extract_lane(vi, 2) | (wasm_i32x4_extract_lane(vi, 3) << 4);
|
||||
y[i].qs[2*l + 0] = wasm_i32x4_extract_lane(vc, 0) | (wasm_i32x4_extract_lane(vc, 1) << 4);
|
||||
y[i].qs[2*l + 1] = wasm_i32x4_extract_lane(vc, 2) | (wasm_i32x4_extract_lane(vc, 3) << 4);
|
||||
}
|
||||
}
|
||||
#else
|
||||
@ -1143,13 +1200,17 @@ static void quantize_row_q4_2_reference(const float * restrict x, block_q4_2 * r
|
||||
|
||||
for (int i = 0; i < nb; i++) {
|
||||
float amax = 0.0f; // absolute max
|
||||
float max = 0.0f;
|
||||
|
||||
for (int l = 0; l < QK4_2; l++) {
|
||||
const float v = x[i*QK4_2 + l];
|
||||
amax = MAX(amax, fabsf(v));
|
||||
if (amax < fabsf(v)) {
|
||||
amax = fabsf(v);
|
||||
max = v;
|
||||
}
|
||||
}
|
||||
|
||||
const float d = amax / ((1 << 3) - 1);
|
||||
const float d = max / -8;
|
||||
|
||||
const float id = d ? 1.0f/d : 0.0f;
|
||||
|
||||
@ -1159,8 +1220,8 @@ static void quantize_row_q4_2_reference(const float * restrict x, block_q4_2 * r
|
||||
const float v0 = x[i*QK4_2 + l + 0]*id;
|
||||
const float v1 = x[i*QK4_2 + l + 1]*id;
|
||||
|
||||
const uint8_t vi0 = (uint8_t)(v0 + 8.5f);
|
||||
const uint8_t vi1 = (uint8_t)(v1 + 8.5f);
|
||||
const uint8_t vi0 = MIN(15, (uint8_t)(v0 + 8.5f));
|
||||
const uint8_t vi1 = MIN(15, (uint8_t)(v1 + 8.5f));
|
||||
|
||||
assert(vi0 < 16);
|
||||
assert(vi1 < 16);
|
||||
@ -1254,9 +1315,7 @@ static void quantize_row_q4_2(const float * restrict x, void * restrict vy, int
|
||||
|
||||
block_q4_2 * restrict y = vy;
|
||||
|
||||
//quantize_row_q4_2_reference(x, y, k);
|
||||
// This produces the exact same format, just better match to the input floats ("better" as measured by RMSE)
|
||||
quantize_row_q4_2_rmse(x, y, k);
|
||||
quantize_row_q4_2_reference(x, y, k);
|
||||
}
|
||||
|
||||
static void quantize_row_q4_3_reference(const float * restrict x, block_q4_3 * restrict y, int k) {
|
||||
@ -1807,7 +1866,7 @@ static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
|
||||
[GGML_TYPE_Q4_2] = {
|
||||
.dequantize_row_q = dequantize_row_q4_2,
|
||||
.quantize_row_q = quantize_row_q4_2,
|
||||
.quantize_row_q_reference = (quantize_row_q_t) quantize_row_q4_2_rmse, //quantize_row_q4_2_reference,
|
||||
.quantize_row_q_reference = (quantize_row_q_t) quantize_row_q4_2_reference,
|
||||
.quantize_row_q_dot = quantize_row_q8_0,
|
||||
.vec_dot_q = ggml_vec_dot_q4_2_q8_0,
|
||||
},
|
||||
@ -12144,8 +12203,7 @@ size_t ggml_quantize_q4_2(const float * src, void * dst, int n, int k, int64_t *
|
||||
for (int j = 0; j < n; j += k) {
|
||||
block_q4_2 * restrict y = (block_q4_2 *)dst + j/QK4_2;
|
||||
|
||||
//quantize_row_q4_2_reference(src + j, y, k);
|
||||
quantize_row_q4_2_rmse(src + j, y, k);
|
||||
quantize_row_q4_2_reference(src + j, y, k);
|
||||
|
||||
for (int i = 0; i < nb; i++) {
|
||||
for (int l = 0; l < QK4_2; l += 2) {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user