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Optimize AVX2 ggml_vec_dot_q4_0 (#642)
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31
ggml.c
31
ggml.c
@ -1833,7 +1833,7 @@ static void ggml_vec_dot_q4_0(const int n, float * restrict s, const void * rest
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const block_q4_0 * restrict x = vx;
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const block_q4_0 * restrict y = vy;
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ggml_float sumf = 0.0;
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float sumf = 0.0;
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#if defined(__ARM_NEON)
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float sum0 = 0.0f;
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@ -1928,7 +1928,7 @@ static void ggml_vec_dot_q4_0(const int n, float * restrict s, const void * rest
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#endif
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}
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sumf = (ggml_float)(sum0 + sum1);
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sumf = sum0 + sum1;
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#elif defined(__AVX512F__)
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// Initialize accumulator with zeros
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__m512 acc0 = _mm512_setzero_ps();
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@ -1962,6 +1962,10 @@ static void ggml_vec_dot_q4_0(const int n, float * restrict s, const void * rest
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__m256 acc = _mm256_setzero_ps();
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// Main loop
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// TODO: figure a way to do this in a portable way
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#ifdef __GNUC__
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#pragma GCC unroll 16
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#endif
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for (int i = 0; i < nb; ++i) {
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// Compute combined scale for the block
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const __m256 d = _mm256_mul_ps( _mm256_broadcast_ss( &x[i].d ), _mm256_broadcast_ss( &y[i].d ) );
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@ -1975,20 +1979,21 @@ static void ggml_vec_dot_q4_0(const int n, float * restrict s, const void * rest
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bx = _mm256_sub_epi8( bx, off );
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by = _mm256_sub_epi8( by, off );
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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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// Get absolute values of x vectors
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const __m256i ax = _mm256_sign_epi8(bx, bx);
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// Sign-extend last 16 signed bytes into int16_t vectors
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x16 = _mm256_cvtepi8_epi16( _mm256_extracti128_si256( bx, 1 ) );
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y16 = _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, y16 ) );
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// Sign the values of the y vectors
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const __m256i sy = _mm256_sign_epi8(by, bx);
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// Perform multiplication and create 16-bit values
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const __m256i dot = _mm256_maddubs_epi16(ax, sy);
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const __m256i ones = _mm256_set1_epi16(1);
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const __m256i i32 = _mm256_madd_epi16(ones, dot);
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// Convert int32_t to float
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__m256 p = _mm256_cvtepi32_ps( i32 );
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const __m256 p = _mm256_cvtepi32_ps( i32 );
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// Apply the scale, and accumulate
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acc = _mm256_fmadd_ps( d, p, acc );
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}
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