CS348Project/llama.cpp
5
0
Fork 0
mirror of https://github.com/ggml-org/llama.cpp.git synced 2025-10-31 08:51:55 +00:00
Code Issues Packages Projects Releases Wiki Activity

sgemm : improved Q4_0 and Q8_0 performance via 4xN and Mx4 gemm (#8908)

Browse Source
This commit is contained in:
Srihari-mcw
2024-08-31 13:50:35 +05:30
committed by GitHub
parent 49271efbaf
commit ea5d7478b1
1 changed files with 149 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

149
ggml/src/llamafile/sgemm.cpp
View File

@@ -606,17 +606,29 @@ class tinyBLAS_Q0_AVX {
case 0x44: case 0x44:
mc = 4; mc = 4;
nc = 4; nc = 4;
#if defined(__AVX2__) && defined(__F16C__)
gemm4xN<4>(m0, m, n0, n);
#else
gemm<4, 4>(m0, m, n0, n); gemm<4, 4>(m0, m, n0, n);
#endif
break; break;
case 0x43: case 0x43:
mc = 4; mc = 4;
nc = 3; nc = 3;
#if defined(__AVX2__) && defined(__F16C__)
gemm4xN<3>(m0, m, n0, n);
#else
gemm<4, 3>(m0, m, n0, n); gemm<4, 3>(m0, m, n0, n);
#endif
break; break;
case 0x34: case 0x34:
mc = 3; mc = 3;
nc = 4; nc = 4;
#if defined(__AVX2__) && defined(__F16C__)
gemmMx4<3>(m0, m, n0, n);
#else
gemm<3, 4>(m0, m, n0, n); gemm<3, 4>(m0, m, n0, n);
#endif
break; break;
case 0x33: case 0x33:
mc = 3; mc = 3;
@@ -626,12 +638,20 @@ class tinyBLAS_Q0_AVX {
case 0x42: case 0x42:
mc = 4; mc = 4;
nc = 2; nc = 2;
#if defined(__AVX2__) && defined(__F16C__)
gemm4xN<2>(m0, m, n0, n);
#else
gemm<4, 2>(m0, m, n0, n); gemm<4, 2>(m0, m, n0, n);
#endif
break; break;
case 0x24: case 0x24:
mc = 2; mc = 2;
nc = 4; nc = 4;
#if defined(__AVX2__) && defined(__F16C__)
gemmMx4<2>(m0, m, n0, n);
#else
gemm<2, 4>(m0, m, n0, n); gemm<2, 4>(m0, m, n0, n);
#endif
break; break;
#else #else
case 0x44: case 0x44:
@@ -639,13 +659,21 @@ class tinyBLAS_Q0_AVX {
case 0x42: case 0x42:
mc = 4; mc = 4;
nc = 2; nc = 2;
#if defined(__AVX2__) && defined(__F16C__)
gemm4xN<2>(m0, m, n0, n);
#else
gemm<4, 2>(m0, m, n0, n); gemm<4, 2>(m0, m, n0, n);
#endif
break; break;
case 0x34: case 0x34:
case 0x24: case 0x24:
mc = 2; mc = 2;
nc = 4; nc = 4;
#if defined(__AVX2__) && defined(__F16C__)
gemmMx4<2>(m0, m, n0, n);
#else
gemm<2, 4>(m0, m, n0, n); gemm<2, 4>(m0, m, n0, n);
#endif
break; break;
case 0x33: case 0x33:
#endif #endif
@@ -662,7 +690,11 @@ class tinyBLAS_Q0_AVX {
case 0x41: case 0x41:
mc = 4; mc = 4;
nc = 1; nc = 1;
#if defined(__AVX2__) && defined(__F16C__)
gemm4xN<1>(m0, m, n0, n);
#else
gemm<4, 1>(m0, m, n0, n); gemm<4, 1>(m0, m, n0, n);
#endif
break; break;
case 0x22: case 0x22:
mc = 2; mc = 2;
@@ -672,7 +704,11 @@ class tinyBLAS_Q0_AVX {
case 0x14: case 0x14:
mc = 1; mc = 1;
nc = 4; nc = 4;
#if defined(__AVX2__) && defined(__F16C__)
gemmMx4<1>(m0, m, n0, n);
#else
gemm<1, 4>(m0, m, n0, n); gemm<1, 4>(m0, m, n0, n);
#endif
break; break;
case 0x31: case 0x31:
mc = 3; mc = 3;
@@ -708,6 +744,119 @@ class tinyBLAS_Q0_AVX {
mnpack(m0, m, np, n); mnpack(m0, m, np, n);
} }
#if defined(__AVX2__) && defined(__F16C__)
// Templated functions for gemm of dimensions 4xN
template <int RN>
NOINLINE void gemm4xN(int64_t m0, int64_t m, int64_t n0, int64_t n) {
int64_t ytiles = (m - m0) / 4;
int64_t xtiles = (n - n0) / RN;
int64_t tiles = xtiles * ytiles;
int64_t duty = (tiles + nth - 1) / nth;
int64_t start = duty * ith;
int64_t end = start + duty;
if (end > tiles)
end = tiles;
for (int64_t job = start; job < end; ++job) {
int64_t ii = m0 + job / xtiles * 4;
int64_t jj = n0 + job % xtiles * RN;
__m256 Cv[RN][4] = {};
for (int64_t l = 0; l < k; ++l) {
uint64_t a_delta = ((uint64_t)A[lda * (ii + 3) + l].d << 48) | ((uint64_t)A[lda * (ii + 2) + l].d << 32) | ((uint64_t)A[lda * (ii + 1) + l].d << 16) | (A[lda * (ii + 0) + l].d);
// Convert delta values for four blocks to float values
__m128 da = _mm_cvtph_ps(_mm_set_epi64x(0, a_delta));
__m256i avec0 = load(A + lda * (ii + 0) + l);
__m256i avec1 = load(A + lda * (ii + 1) + l);
__m256i avec2 = load(A + lda * (ii + 2) + l);
__m256i avec3 = load(A + lda * (ii + 3) + l);
for (int64_t j = 0; j < RN; ++j) {
__m128 db = _mm_set1_ps(unhalf(B[ldb * (jj + j) + l].d));
// Computation of product of delta values for four blocks and replicate it across 256 bit lane
__m256 dvec = _mm256_castps128_ps256(_mm_mul_ps(da, db));
dvec = _mm256_permute2f128_ps(dvec ,dvec, 0);
// Computation of dot product and multiplication with appropriate delta value products
Cv[j][0] = madd(_mm256_shuffle_ps(dvec, dvec, 0),
updot(_mm256_sign_epi8(avec0, avec0),
_mm256_sign_epi8(load(B + ldb * (jj + j) + l), avec0)),
Cv[j][0]);
Cv[j][1] = madd(_mm256_shuffle_ps(dvec, dvec, 85),
updot(_mm256_sign_epi8(avec1, avec1),
_mm256_sign_epi8(load(B + ldb * (jj + j) + l), avec1)),
Cv[j][1]);
Cv[j][2] = madd(_mm256_shuffle_ps(dvec, dvec, 170),
updot(_mm256_sign_epi8(avec2, avec2),
_mm256_sign_epi8(load(B + ldb * (jj + j) + l), avec2)),
Cv[j][2]);
Cv[j][3] = madd(_mm256_shuffle_ps(dvec, dvec, 255),
updot(_mm256_sign_epi8(avec3, avec3),
_mm256_sign_epi8(load(B + ldb * (jj + j) + l), avec3)),
Cv[j][3]);
}
}
for (int64_t j = 0; j < RN; ++j)
for (int64_t i = 0; i < 4; ++i)
C[ldc * (jj + j) + (ii + i)] = hsum(Cv[j][i]);
}
}
// Templated functions for gemm of dimensions Mx4
template <int RM>
NOINLINE void gemmMx4(int64_t m0, int64_t m, int64_t n0, int64_t n) {
int64_t ytiles = (m - m0) / RM;
int64_t xtiles = (n - n0) / 4;
int64_t tiles = xtiles * ytiles;
int64_t duty = (tiles + nth - 1) / nth;
int64_t start = duty * ith;
int64_t end = start + duty;
if (end > tiles)
end = tiles;
for (int64_t job = start; job < end; ++job) {
int64_t ii = m0 + job / xtiles * RM;
int64_t jj = n0 + job % xtiles * 4;
__m256 Cv[4][RM] = {};
for (int64_t l = 0; l < k; ++l) {
uint64_t b_delta = ((uint64_t)B[ldb * (jj + 3) + l].d << 48) | ((uint64_t)B[ldb * (jj + 2) + l].d << 32) | ((uint64_t)B[ldb * (jj + 1) + l].d << 16) | (B[ldb * (jj + 0) + l].d);
// Convert delta values for four blocks to float values
__m128 db = _mm_cvtph_ps(_mm_set_epi64x(0, b_delta));
__m256i bvec0 = load(B + ldb * (jj + 0) + l);
__m256i bvec1 = load(B + ldb * (jj + 1) + l);
__m256i bvec2 = load(B + ldb * (jj + 2) + l);
__m256i bvec3 = load(B + ldb * (jj + 3) + l);
for (int64_t i = 0; i < RM; ++i) {
__m128 da = _mm_set1_ps(unhalf((A[lda * (ii + i) + l].d)));
// Computation of product of delta values for four blocks and replicate it across 256 bit lane
__m256 dvec = _mm256_castps128_ps256(_mm_mul_ps(da, db));
dvec = _mm256_permute2f128_ps(dvec ,dvec, 0);
// Computation of dot product and multiplication with appropriate delta value products
Cv[0][i] = madd(_mm256_shuffle_ps(dvec, dvec, 0),
updot(_mm256_sign_epi8(load(A + lda * (ii + i) + l),
load(A + lda * (ii + i) + l)),
_mm256_sign_epi8(bvec0, load(A + lda * (ii + i) + l))),
Cv[0][i]);
Cv[1][i] = madd(_mm256_shuffle_ps(dvec, dvec, 85),
updot(_mm256_sign_epi8(load(A + lda * (ii + i) + l),
load(A + lda * (ii + i) + l)),
_mm256_sign_epi8(bvec1, load(A + lda * (ii + i) + l))),
Cv[1][i]);
Cv[2][i] = madd(_mm256_shuffle_ps(dvec, dvec, 170),
updot(_mm256_sign_epi8(load(A + lda * (ii + i) + l),
load(A + lda * (ii + i) + l)),
_mm256_sign_epi8(bvec2, load(A + lda * (ii + i) + l))),
Cv[2][i]);
Cv[3][i] = madd(_mm256_shuffle_ps(dvec, dvec, 255),
updot(_mm256_sign_epi8(load(A + lda * (ii + i) + l),
load(A + lda * (ii + i) + l)),
_mm256_sign_epi8(bvec3, load(A + lda * (ii + i) + l))),
Cv[3][i]);
}
}
for (int64_t j = 0; j < 4; ++j)
for (int64_t i = 0; i < RM; ++i)
C[ldc * (jj + j) + (ii + i)] = hsum(Cv[j][i]);
}
}
#endif
template <int RM, int RN> template <int RM, int RN>
NOINLINE void gemm(int64_t m0, int64_t m, int64_t n0, int64_t n) { NOINLINE void gemm(int64_t m0, int64_t m, int64_t n0, int64_t n) {
int64_t ytiles = (m - m0) / RM; int64_t ytiles = (m - m0) / RM;