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llamafile: use member variable instead of constant for iq4nlt (llama/11780)
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@ -280,14 +280,6 @@ template <> inline __m256bh load(const float *p) {
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}
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#endif
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////////////////////////////////////////////////////////////////////////////////////////////////////
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// CONSTANTS
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#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__)
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static const int8_t kvalues_iq4nl[16] = {-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113};
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static const __m128i iq4nlt = _mm_loadu_si128((const __m128i *) kvalues_iq4nl);
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#endif
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////////////////////////////////////////////////////////////////////////////////////////////////////
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// FLOATING POINT MATRIX MULTIPLICATION
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@ -614,6 +606,14 @@ class tinyBLAS_Q0_AVX {
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TC *C, int64_t ldc,
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int ith, int nth)
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: A(A), B(B), C(C), k(k), lda(lda), ldb(ldb), ldc(ldc), ith(ith), nth(nth) {
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const int8_t kvalues_iq4nl[16] = {
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-127, -104, -83, -65,
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-49, -35, -22, -10,
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1, 13, 25, 38,
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53, 69, 89, 113
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};
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iq4nlt = _mm_loadu_si128((const __m128i *)kvalues_iq4nl);
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}
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void matmul(int64_t m, int64_t n) {
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@ -1038,6 +1038,7 @@ class tinyBLAS_Q0_AVX {
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const int64_t ldc;
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const int ith;
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const int nth;
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__m128i iq4nlt;
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};
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#endif // __AVX__
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