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Squeeze out about 5% more performance in Q4_1 inference

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Matvey Soloviev 2023-03-21 22:55:35 +01:00
parent ee8a788786
commit 69071d3b6b
1 changed files with 10 additions and 7 deletions
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17
ggml.c
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@ -1702,7 +1702,7 @@ inline static void ggml_vec_dot_q4_1(const int n, float * restrict s, const void
// Initialize accumulator with zeros
__m256 acc = _mm256_setzero_ps();
// Accumulator for constant offsets
float acc_offset = 0.0f;
__m128 acc_offset = _mm_setzero_ps(); //0.0f;
// Main loop
for (int i = 0; i < nb; ++i) {
@ -1756,14 +1756,17 @@ inline static void ggml_vec_dot_q4_1(const int n, float * restrict s, const void
__m256i sumsi = _mm256_or_si256( xsumi, _mm256_slli_si256( ysumi, 4 ) );
__m256 sums = _mm256_cvtepi32_ps( sumsi );
// Apply the scales, and accumulate
// acc += d0*m1*x + d1*m0*y
acc = _mm256_fmadd_ps( cross_scales, sums, acc );
// Convert int32_t to float
__m256 p = _mm256_cvtepi32_ps( i32 );
// Apply the scale, and accumulate
// acc += d0*d1*x*y + d0*m1*x + d1*m0*y
// acc += d0*d1*x*y
acc = _mm256_fmadd_ps( scale_01, p, acc );
acc = _mm256_fmadd_ps( cross_scales, sums, acc );
// acc_offset += m0*m1 (for each entry in the block)
acc_offset += (*m0)*(*m1);
// acc_offset += m0*m1 (avoid reloading from RAM)
acc_offset = _mm_fmadd_ss( _mm256_castps256_ps128( m0v ), _mm256_castps256_ps128( m1v ), acc_offset );
}
// Return horizontal sum of the acc vector
@ -1772,7 +1775,7 @@ inline static void ggml_vec_dot_q4_1(const int n, float * restrict s, const void
res = _mm_add_ps( res, _mm_movehl_ps( res, res ) );
res = _mm_add_ss( res, _mm_movehdup_ps( res ) );
sumf = _mm_cvtss_f32( res ) + acc_offset * QK;
sumf = _mm_cvtss_f32( res ) + _mm_cvtss_f32( acc_offset )* QK;
#else
#error "not implemented for QK"
#endif