mirror of
https://github.com/ggerganov/llama.cpp.git
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ggml : use 8-bit precision for Q4_1 intermediate results (#1047)
* ggml : use 8-bit precision for Q4_1 intermediate results (ARM) * ggml : optimize ggml_vec_dot_q4_1_q8_0() via vmalq_n_f32 56 ms/token with Q4_1 ! * ggml : AVX2 implementation of ggml_vec_dot_q4_1_q8_0 (#1051) * gitignore : ignore ppl-*.txt files --------- Co-authored-by: slaren <2141330+slaren@users.noreply.github.com>
This commit is contained in:
Georgi Gerganov
GitHub
parent
7cd5c4a3e9
commit
884e7d7a2b
15
.gitignore
vendored
15
.gitignore
vendored
@ -1,11 +1,15 @@
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*.o
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*.o
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*.a
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*.a
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.DS_Store
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.build/
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.cache/
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.cache/
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.direnv/
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.envrc
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.swiftpm
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.venv
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.vs/
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.vs/
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.vscode/
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.vscode/
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.DS_Store
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.build/
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build/
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build/
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build-em/
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build-em/
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build-debug/
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build-debug/
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@ -30,12 +34,9 @@ models/*
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arm_neon.h
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arm_neon.h
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compile_commands.json
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compile_commands.json
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.envrc
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.direnv/
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.venv
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__pycache__
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__pycache__
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.swiftpm
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zig-out/
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zig-out/
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zig-cache/
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zig-cache/
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ppl-*.txt
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371
ggml.c
371
ggml.c
@ -550,6 +550,18 @@ inline static uint16_t vaddvq_u8(uint8x16_t v) {
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(uint16_t)vgetq_lane_u8(v, 14) + (uint16_t)vgetq_lane_u8(v, 15);
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(uint16_t)vgetq_lane_u8(v, 14) + (uint16_t)vgetq_lane_u8(v, 15);
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}
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}
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inline static int16_t vaddvq_s8(int8x16_t v) {
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return
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(int16_t)vgetq_lane_s8(v, 0) + (int16_t)vgetq_lane_s8(v, 1) +
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(int16_t)vgetq_lane_s8(v, 2) + (int16_t)vgetq_lane_s8(v, 3) +
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(int16_t)vgetq_lane_s8(v, 4) + (int16_t)vgetq_lane_s8(v, 5) +
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(int16_t)vgetq_lane_s8(v, 6) + (int16_t)vgetq_lane_s8(v, 7) +
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(int16_t)vgetq_lane_s8(v, 8) + (int16_t)vgetq_lane_s8(v, 9) +
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(int16_t)vgetq_lane_s8(v, 10) + (int16_t)vgetq_lane_s8(v, 11) +
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(int16_t)vgetq_lane_s8(v, 12) + (int16_t)vgetq_lane_s8(v, 13) +
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(int16_t)vgetq_lane_s8(v, 14) + (int16_t)vgetq_lane_s8(v, 15);
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}
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inline static int32_t vaddvq_s16(int16x8_t v) {
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inline static int32_t vaddvq_s16(int16x8_t v) {
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return
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return
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(int32_t)vgetq_lane_s16(v, 0) + (int32_t)vgetq_lane_s16(v, 1) +
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(int32_t)vgetq_lane_s16(v, 0) + (int32_t)vgetq_lane_s16(v, 1) +
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@ -1535,9 +1547,8 @@ static void dequantize_row_q4_2(const void * restrict vx, float * restrict y, in
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}
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}
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}
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}
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static void ggml_vec_dot_q4_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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//static void ggml_vec_dot_q4_1_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_1_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_2_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_2_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
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static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
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@ -1552,8 +1563,8 @@ static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
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.dequantize_row_q = dequantize_row_q4_1,
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.dequantize_row_q = dequantize_row_q4_1,
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.quantize_row_q = quantize_row_q4_1,
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.quantize_row_q = quantize_row_q4_1,
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.quantize_row_q_reference = (quantize_row_q_t) quantize_row_q4_1_reference,
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.quantize_row_q_reference = (quantize_row_q_t) quantize_row_q4_1_reference,
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.quantize_row_q_dot = quantize_row_q4_1,
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.quantize_row_q_dot = quantize_row_q8_0,
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.vec_dot_q = ggml_vec_dot_q4_1,
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.vec_dot_q = ggml_vec_dot_q4_1_q8_0,
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},
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},
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[GGML_TYPE_Q4_2] = {
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[GGML_TYPE_Q4_2] = {
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.dequantize_row_q = dequantize_row_q4_2,
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.dequantize_row_q = dequantize_row_q4_2,
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@ -2170,189 +2181,6 @@ inline static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t
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*s = sumf;
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*s = sumf;
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}
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}
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static void ggml_vec_dot_q4_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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const int nb = n / QK4_1;
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const block_q4_1 * restrict x = vx;
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const block_q4_1 * restrict y = vy;
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float sumf = 0.0;
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#if defined(__AVX2__)
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// Initialize accumulator with zeros
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__m256 acc = _mm256_setzero_ps();
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// Accumulator for constant offsets
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float acc_offset = 0.0f;
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// Main loop
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for (int i = 0; i < nb; ++i) {
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const float * d0 = &x[i].d;
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const float * d1 = &y[i].d;
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const float * m0 = &x[i].m;
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const float * m1 = &y[i].m;
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const __m256 d0v = _mm256_broadcast_ss( d0 );
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const __m256 d1v = _mm256_broadcast_ss( d1 );
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const __m256 m0v = _mm256_broadcast_ss( m0 );
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const __m256 m1v = _mm256_broadcast_ss( m1 );
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// Compute combined scale for the block
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const __m256 scale_01 = _mm256_mul_ps( d0v, d1v );
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// Compute cross scales for the block
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const __m256 scale_0 = _mm256_mul_ps( d0v, m1v );
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const __m256 scale_1 = _mm256_mul_ps( m0v, d1v );
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const __m256 cross_scales = _mm256_blend_ps( scale_0, scale_1, 0xAA /* 0b10101010 */ );
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// Load 16 bytes, and unpack 4 bit fields into bytes, making 32 bytes
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__m256i bx = bytesFromNibbles( x[i].qs );
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__m256i by = bytesFromNibbles( y[i].qs );
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// Now we have a vector with bytes in [ 0 .. 15 ] interval.
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// Sign-extend first 16 signed bytes into int16_t
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__m256i x16 = _mm256_cvtepi8_epi16( _mm256_castsi256_si128( bx ) );
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__m256i y16 = _mm256_cvtepi8_epi16( _mm256_castsi256_si128( by ) );
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// Compute products of int16_t integers, add pairwise
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__m256i i32 = _mm256_madd_epi16( x16, y16 );
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// Sign-extend last 16 signed bytes into int16_t vectors
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__m256i x16_h = _mm256_cvtepi8_epi16( _mm256_extracti128_si256( bx, 1 ) );
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__m256i y16_h = _mm256_cvtepi8_epi16( _mm256_extracti128_si256( by, 1 ) );
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// Accumulate products of int16_t integers
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i32 = _mm256_add_epi32( i32, _mm256_madd_epi16( x16_h, y16_h ) );
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// compute sums of unsigned bytes in bx, by in blocks of 8.
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// This results in a layout like X100 0000 X200 0000 X300 0000 X400 0000,
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// which we then interleave as X100 Y100 X200 Y200 X300 Y300 X400 Y400.
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// so if we then cast to 8 singles, we get 8 floats like [ x0_7, y0_7, x8_15, y8_15, x16_23, y16_23, x24_31, y24_31 ]
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__m256i xsumi = _mm256_sad_epu8( bx, _mm256_setzero_si256() );
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__m256i ysumi = _mm256_sad_epu8( by, _mm256_setzero_si256() );
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__m256i sumsi = _mm256_or_si256( xsumi, _mm256_slli_si256( ysumi, 4 ) );
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__m256 sums = _mm256_cvtepi32_ps( sumsi );
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// Convert int32_t to float
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__m256 p = _mm256_cvtepi32_ps( i32 );
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// Apply the scale, and accumulate
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// acc += d0*d1*x*y + d0*m1*x + d1*m0*y
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acc = _mm256_fmadd_ps( scale_01, p, acc );
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acc = _mm256_fmadd_ps( cross_scales, sums, acc );
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// acc_offset += m0*m1 (for each entry in the block)
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acc_offset += (*m0)*(*m1);
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}
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// Return horizontal sum of the acc vector
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__m128 res = _mm256_extractf128_ps( acc, 1 );
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res = _mm_add_ps( res, _mm256_castps256_ps128( acc ) );
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res = _mm_add_ps( res, _mm_movehl_ps( res, res ) );
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res = _mm_add_ss( res, _mm_movehdup_ps( res ) );
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sumf = _mm_cvtss_f32( res ) + acc_offset * QK4_1;
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#elif defined(__ARM_NEON)
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float sum00 = 0.0f;
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float sum01 = 0.0f;
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float sum10 = 0.0f;
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float sum11 = 0.0f;
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for (int i = 0; i < nb; i += 2) {
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const block_q4_1 * restrict x0 = &x[i + 0];
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const block_q4_1 * restrict y0 = &y[i + 0];
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const block_q4_1 * restrict x1 = &x[i + 1];
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const block_q4_1 * restrict y1 = &y[i + 1];
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const uint8x16_t m4b = vdupq_n_u8(0xf);
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const uint8x16_t v0_0 = vld1q_u8(x0->qs);
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const uint8x16_t v1_0 = vld1q_u8(y0->qs);
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const uint8x16_t v0_1 = vld1q_u8(x1->qs);
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const uint8x16_t v1_1 = vld1q_u8(y1->qs);
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// 4-bit -> 8-bit
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const uint8x16_t v0_0l = vandq_u8(v0_0, m4b);
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const uint8x16_t v1_0l = vandq_u8(v1_0, m4b);
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const uint8x16_t v0_0h = vshrq_n_u8(v0_0, 4);
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const uint8x16_t v1_0h = vshrq_n_u8(v1_0, 4);
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const uint8x16_t v0_1l = vandq_u8(v0_1, m4b);
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const uint8x16_t v1_1l = vandq_u8(v1_1, m4b);
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const uint8x16_t v0_1h = vshrq_n_u8(v0_1, 4);
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const uint8x16_t v1_1h = vshrq_n_u8(v1_1, 4);
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sum00 += x0->m*y0->m;
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sum01 += y0->m*x0->d*((uint16_t)vaddvq_u8(v0_0l) + (uint16_t)vaddvq_u8(v0_0h));
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sum10 += x0->m*y0->d*((uint16_t)vaddvq_u8(v1_0l) + (uint16_t)vaddvq_u8(v1_0h));
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sum00 += x1->m*y1->m;
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sum01 += y1->m*x1->d*((uint16_t)vaddvq_u8(v0_1l) + (uint16_t)vaddvq_u8(v0_1h));
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sum10 += x1->m*y1->d*((uint16_t)vaddvq_u8(v1_1l) + (uint16_t)vaddvq_u8(v1_1h));
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#if defined(__ARM_FEATURE_DOTPROD)
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// dot product into int32x4_t
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uint32x4_t p_0 = vdotq_u32(vdupq_n_u32(0), v0_0l, v1_0l);
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uint32x4_t p_1 = vdotq_u32(vdupq_n_u32(0), v0_1l, v1_1l);
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p_0 = vdotq_u32(p_0, v0_0h, v1_0h);
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p_1 = vdotq_u32(p_1, v0_1h, v1_1h);
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sum11 += x0->d*y0->d*vaddvq_u32(p_0);
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sum11 += x1->d*y1->d*vaddvq_u32(p_1);
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#else
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const uint16x8_t pl0l = vmull_u8(vget_low_u8 (v0_0l), vget_low_u8 (v1_0l));
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const uint16x8_t pl0h = vmull_u8(vget_high_u8(v0_0l), vget_high_u8(v1_0l));
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const uint16x8_t ph0l = vmull_u8(vget_low_u8 (v0_0h), vget_low_u8 (v1_0h));
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const uint16x8_t ph0h = vmull_u8(vget_high_u8(v0_0h), vget_high_u8(v1_0h));
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const uint16x8_t pl1l = vmull_u8(vget_low_u8 (v0_1l), vget_low_u8 (v1_1l));
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const uint16x8_t pl1h = vmull_u8(vget_high_u8(v0_1l), vget_high_u8(v1_1l));
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const uint16x8_t ph1l = vmull_u8(vget_low_u8 (v0_1h), vget_low_u8 (v1_1h));
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const uint16x8_t ph1h = vmull_u8(vget_high_u8(v0_1h), vget_high_u8(v1_1h));
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const uint16x8_t pl_0 = vaddq_u16(pl0l, pl0h);
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const uint16x8_t ph_0 = vaddq_u16(ph0l, ph0h);
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const uint16x8_t pl_1 = vaddq_u16(pl1l, pl1h);
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const uint16x8_t ph_1 = vaddq_u16(ph1l, ph1h);
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const uint16x8_t p_0 = vaddq_u16(pl_0, ph_0);
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const uint16x8_t p_1 = vaddq_u16(pl_1, ph_1);
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sum11 += x0->d*y0->d*vaddvq_u16(p_0);
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sum11 += x1->d*y1->d*vaddvq_u16(p_1);
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#endif
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}
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sumf = QK4_1*sum00 + sum01 + sum10 + sum11;
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#else
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// scalar
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for (int i = 0; i < nb; i++) {
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const float d0 = x[i].d;
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const float d1 = y[i].d;
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const float m0 = x[i].m;
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const float m1 = y[i].m;
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const uint8_t * restrict p0 = x[i].qs;
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const uint8_t * restrict p1 = y[i].qs;
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for (int j = 0; j < QK4_1/2; j++) {
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const uint8_t v0 = p0[j];
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const uint8_t v1 = p1[j];
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const float f0 = d0*(v0 & 0xf) + m0;
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const float f1 = d0*(v0 >> 4) + m0;
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const float f2 = d1*(v1 & 0xf) + m1;
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const float f3 = d1*(v1 >> 4) + m1;
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sumf += f0*f2 + f1*f3;
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}
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}
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#endif
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*s = sumf;
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}
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static void ggml_vec_dot_q4_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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static void ggml_vec_dot_q4_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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||||||
const int nb = n / QK8_0;
|
const int nb = n / QK8_0;
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||||||
|
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||||||
@ -2549,6 +2377,175 @@ static void ggml_vec_dot_q4_0_q8_0(const int n, float * restrict s, const void *
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*s = sumf;
|
*s = sumf;
|
||||||
}
|
}
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||||||
|
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||||||
|
static void ggml_vec_dot_q4_1_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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||||||
|
const int nb = n / QK8_0;
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||||||
|
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||||||
|
assert(n % QK8_0 == 0);
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|
assert(nb % 2 == 0);
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||||||
|
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||||||
|
const block_q4_1 * restrict x = vx;
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||||||
|
const block_q8_0 * restrict y = vy;
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||||||
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||||||
|
float sumf = 0.0;
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||||||
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||||||
|
// TODO: add AVX / WASM SIMD / etc
|
||||||
|
#if defined(__ARM_NEON)
|
||||||
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
||||||
|
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
||||||
|
|
||||||
|
for (int i = 0; i < nb; i += 2) {
|
||||||
|
const block_q4_1 * restrict x0 = &x[i + 0];
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||||||
|
const block_q4_1 * restrict x1 = &x[i + 1];
|
||||||
|
const block_q8_0 * restrict y0 = &y[i + 0];
|
||||||
|
const block_q8_0 * restrict y1 = &y[i + 1];
|
||||||
|
|
||||||
|
const uint8x16_t m4b = vdupq_n_u8(0xf);
|
||||||
|
|
||||||
|
const uint8x16_t v0_0 = vld1q_u8(x0->qs);
|
||||||
|
const uint8x16_t v0_1 = vld1q_u8(x1->qs);
|
||||||
|
|
||||||
|
// 4-bit -> 8-bit
|
||||||
|
const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
||||||
|
const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
||||||
|
const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
||||||
|
const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
||||||
|
|
||||||
|
// load y
|
||||||
|
const int8x16_t v1_0l = vld1q_s8(y0->qs);
|
||||||
|
const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
|
||||||
|
const int8x16_t v1_1l = vld1q_s8(y1->qs);
|
||||||
|
const int8x16_t v1_1h = vld1q_s8(y1->qs + 16);
|
||||||
|
|
||||||
|
// interleave
|
||||||
|
const int8x16_t v1_0ls = vuzp1q_s8(v1_0l, v1_0h);
|
||||||
|
const int8x16_t v1_0hs = vuzp2q_s8(v1_0l, v1_0h);
|
||||||
|
const int8x16_t v1_1ls = vuzp1q_s8(v1_1l, v1_1h);
|
||||||
|
const int8x16_t v1_1hs = vuzp2q_s8(v1_1l, v1_1h);
|
||||||
|
|
||||||
|
const int16x8_t s0i = vaddq_s16(
|
||||||
|
vaddq_s16(vmovl_s8(vget_low_s8(v1_0ls)), vmovl_s8(vget_high_s8(v1_0ls))),
|
||||||
|
vaddq_s16(vmovl_s8(vget_low_s8(v1_0hs)), vmovl_s8(vget_high_s8(v1_0hs))));
|
||||||
|
|
||||||
|
const int16x8_t s1i = vaddq_s16(
|
||||||
|
vaddq_s16(vmovl_s8(vget_low_s8(v1_1ls)), vmovl_s8(vget_high_s8(v1_1ls))),
|
||||||
|
vaddq_s16(vmovl_s8(vget_low_s8(v1_1hs)), vmovl_s8(vget_high_s8(v1_1hs))));
|
||||||
|
|
||||||
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddl_s16(vget_low_s16(s0i), vget_high_s16(s0i))), x0->m*y0->d);
|
||||||
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddl_s16(vget_low_s16(s1i), vget_high_s16(s1i))), x1->m*y1->d);
|
||||||
|
|
||||||
|
#if defined(__ARM_FEATURE_DOTPROD)
|
||||||
|
// dot product into int32x4_t
|
||||||
|
const int32x4_t p_0 = vdotq_s32(vdotq_s32(vdupq_n_s32(0), v0_0l, v1_0ls), v0_0h, v1_0hs);
|
||||||
|
const int32x4_t p_1 = vdotq_s32(vdotq_s32(vdupq_n_s32(0), v0_1l, v1_1ls), v0_1h, v1_1hs);
|
||||||
|
|
||||||
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(p_0), x0->d*y0->d);
|
||||||
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(p_1), x1->d*y1->d);
|
||||||
|
#else
|
||||||
|
const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0l), vget_low_s8 (v1_0ls));
|
||||||
|
const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0l), vget_high_s8(v1_0ls));
|
||||||
|
const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0h), vget_low_s8 (v1_0hs));
|
||||||
|
const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0h), vget_high_s8(v1_0hs));
|
||||||
|
|
||||||
|
const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1l), vget_low_s8 (v1_1ls));
|
||||||
|
const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1l), vget_high_s8(v1_1ls));
|
||||||
|
const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1h), vget_low_s8 (v1_1hs));
|
||||||
|
const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1h), vget_high_s8(v1_1hs));
|
||||||
|
|
||||||
|
const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h));
|
||||||
|
const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h));
|
||||||
|
const int32x4_t pl1 = vaddq_s32(vpaddlq_s16(pl1l), vpaddlq_s16(pl1h));
|
||||||
|
const int32x4_t ph1 = vaddq_s32(vpaddlq_s16(ph1l), vpaddlq_s16(ph1h));
|
||||||
|
|
||||||
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), x0->d*y0->d);
|
||||||
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(pl1, ph1)), x1->d*y1->d);
|
||||||
|
#endif
|
||||||
|
}
|
||||||
|
|
||||||
|
sumf = vaddvq_f32(sumv0) + vaddvq_f32(sumv1);
|
||||||
|
#elif defined(__AVX2__)
|
||||||
|
// Initialize accumulator with zeros
|
||||||
|
__m256 acc = _mm256_setzero_ps();
|
||||||
|
|
||||||
|
// Main loop
|
||||||
|
for (int i = 0; i < nb; ++i) {
|
||||||
|
const float * d0 = &x[i].d;
|
||||||
|
const float * d1 = &y[i].d;
|
||||||
|
const float * m0 = &x[i].m;
|
||||||
|
|
||||||
|
const __m256 d0v = _mm256_broadcast_ss( d0 );
|
||||||
|
const __m256 d1v = _mm256_broadcast_ss( d1 );
|
||||||
|
const __m256 m0v = _mm256_broadcast_ss( m0 );
|
||||||
|
|
||||||
|
// Compute combined scales
|
||||||
|
const __m256 d0d1 = _mm256_mul_ps( d0v, d1v );
|
||||||
|
const __m256 d1m0 = _mm256_mul_ps( d1v, m0v );
|
||||||
|
|
||||||
|
// Load 16 bytes, and unpack 4 bit fields into bytes, making 32 bytes
|
||||||
|
const __m256i bx = bytesFromNibbles( x[i].qs );
|
||||||
|
const __m256i by = _mm256_loadu_si256( (const __m256i *)y[i].qs );
|
||||||
|
|
||||||
|
// Get absolute values of x vectors
|
||||||
|
const __m256i ax = _mm256_sign_epi8( bx, bx );
|
||||||
|
|
||||||
|
// Sign the values of the y vectors
|
||||||
|
const __m256i sy = _mm256_sign_epi8( by, bx );
|
||||||
|
|
||||||
|
// Perform multiplication and create 16-bit values
|
||||||
|
const __m256i dot = _mm256_maddubs_epi16( ax, sy );
|
||||||
|
const __m256i ones = _mm256_set1_epi16( 1 );
|
||||||
|
const __m256i xy_q = _mm256_madd_epi16( ones, dot );
|
||||||
|
|
||||||
|
// Convert to vector of 8 int32_t to 8 floats
|
||||||
|
const __m256 xy = _mm256_cvtepi32_ps( xy_q );
|
||||||
|
|
||||||
|
// Accumulate d0*d1*x*y
|
||||||
|
acc = _mm256_fmadd_ps( d0d1, xy, acc );
|
||||||
|
|
||||||
|
// Compute sum of y values
|
||||||
|
const __m256i y16_l = _mm256_cvtepi8_epi16( _mm256_castsi256_si128( by ) );
|
||||||
|
const __m256i y16_h = _mm256_cvtepi8_epi16( _mm256_extracti128_si256( by, 1 ) );
|
||||||
|
const __m256i ysumi = _mm256_madd_epi16( _mm256_add_epi16(y16_l, y16_h), ones );
|
||||||
|
const __m256 ysum = _mm256_cvtepi32_ps( ysumi );
|
||||||
|
|
||||||
|
// Accumulate d1*m0*y
|
||||||
|
acc = _mm256_fmadd_ps( d1m0, ysum, acc );
|
||||||
|
}
|
||||||
|
|
||||||
|
// Return horizontal sum of the acc vector
|
||||||
|
__m128 res = _mm256_extractf128_ps( acc, 1 );
|
||||||
|
res = _mm_add_ps( res, _mm256_castps256_ps128( acc ) );
|
||||||
|
res = _mm_add_ps( res, _mm_movehl_ps( res, res ) );
|
||||||
|
res = _mm_add_ss( res, _mm_movehdup_ps( res ) );
|
||||||
|
|
||||||
|
sumf = _mm_cvtss_f32( res );
|
||||||
|
#else
|
||||||
|
// scalar
|
||||||
|
for (int i = 0; i < nb; i++) {
|
||||||
|
const float d0 = x[i].d;
|
||||||
|
const float m0 = x[i].m;
|
||||||
|
const float d1 = y[i].d;
|
||||||
|
|
||||||
|
const uint8_t * restrict p0 = x[i].qs;
|
||||||
|
const int8_t * restrict p1 = y[i].qs;
|
||||||
|
|
||||||
|
// TODO: this is very slow ..
|
||||||
|
for (int j = 0; j < QK8_0/2; j++) {
|
||||||
|
const uint8_t v0 = p0[j];
|
||||||
|
|
||||||
|
const float f0 = d0*(v0 & 0xf) + m0;
|
||||||
|
const float f1 = d0*(v0 >> 4) + m0;
|
||||||
|
|
||||||
|
const float f2 = d1*p1[2*j + 0];
|
||||||
|
const float f3 = d1*p1[2*j + 1];
|
||||||
|
|
||||||
|
sumf += f0*f2 + f1*f3;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
#endif
|
||||||
|
|
||||||
|
*s = sumf;
|
||||||
|
}
|
||||||
|
|
||||||
static void ggml_vec_dot_q4_2_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
static void ggml_vec_dot_q4_2_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||||
const int nb = n / QK8_0;
|
const int nb = n / QK8_0;
|
||||||
|
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user