llamafile_sgemm API - INT8 implementation

This change upstreams llamafile's cpu matrix
multiplication kernels for ppc64le using MMA
builtins for quantised int8 datatype.

This change results in 10% - 70% improvement
in total speed(ie all tokens/total time), across
various batch sizes.

The patch is tested with Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf models on a
IBM POWER10 machine.

Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
This commit is contained in:
Amrita H S 2024-12-20 01:20:21 -05:00
parent d408bb9268
commit d70f5fca74

View File

@ -1042,6 +1042,577 @@ class tinyBLAS_Q0_AVX {
} \
} \
#define COMPUTE(ACC, c_idx, s_idx) \
__builtin_mma_disassemble_acc(vec_C, ACC); \
for (int i = 0; i < 4; i++) { \
CA[i] = vec_splats((float)(((double)comparray[c_idx+i]) * -128.0)); \
res[i] = vec_add(vec_ctf(vec_C[i], 0), CA[i]); \
fin_res[s_idx+i] = vec_madd(res[i], vs[s_idx+i], fin_res[s_idx+i]); \
} \
#define SAVE_RES(ii, jj, RM, RN, idx) \
for (int I = 0; I < RM; I++) { \
for (int J = 0; J < RN; J++) { \
*((float*)(C+ii+((jj+J)*ldc)+I)) = *((float*)&fin_res[idx+I]+J); \
} \
} \
#define PERMUTE_VEC(IR1, IR2, IR3, IR4, vecOffset) \
t1 = vec_perm(IR1, IR2, swiz1); \
t2 = vec_perm(IR1, IR2, swiz2); \
t3 = vec_perm(IR3, IR4, swiz1); \
t4 = vec_perm(IR3, IR4, swiz2); \
t5 = vec_perm(t1, t3, swiz3); \
t6 = vec_perm(t1, t3, swiz4); \
t7 = vec_perm(t2, t4, swiz3); \
t8 = vec_perm(t2, t4, swiz4); \
if (flip == true) { \
t5 = vec_xor(t5, xor_vector); \
t6 = vec_xor(t6, xor_vector); \
t7 = vec_xor(t7, xor_vector); \
t8 = vec_xor(t8, xor_vector); \
} \
vec_xst(t5, 0, vecOffset); \
vec_xst(t6, 0, vecOffset+16); \
vec_xst(t7, 0, vecOffset+32); \
vec_xst(t8, 0, vecOffset+48); \
template <typename TA, typename TB, typename TC>
class tinyBLAS_Q0_PPC {
public:
tinyBLAS_Q0_PPC(int64_t k,
const TA *A, int64_t lda,
const TB *B, int64_t ldb,
TC *C, int64_t ldc,
int ith, int nth)
: A(A), B(B), C(C), k(k), lda(lda), ldb(ldb), ldc(ldc), ith(ith), nth(nth) {
}
void matmul(int64_t m, int64_t n) {
mnpack(0, m, 0, n);
}
private:
void (tinyBLAS_Q0_PPC::*kernel)(int64_t, int64_t);
template<typename VA, typename VB>
void packNormal(const TA* a, int64_t lda, int rows, int cols, VA* vec, bool flip) {
int64_t i, j;
TA *aoffset = NULL;
VA *vecOffset = NULL;
TA *aoffset1 = NULL, *aoffset2 = NULL, *aoffset3 = NULL, *aoffset4 = NULL;
TA *aoffset5 = NULL, *aoffset6 = NULL, *aoffset7 = NULL, *aoffset8 = NULL;
__vector_pair C1, C2, C3, C4, C5, C6, C7, C8;
VB c1[2] = {0}, c2[2] = {0}, c3[2] = {0}, c4[2]={0};
VB c5[2] = {0}, c6[2] = {0}, c7[2] = {0}, c8[2]={0};
VB t1, t2, t3, t4, t5, t6, t7, t8;
vector unsigned char xor_vector;
uint8_t flip_vec = 0x80;
xor_vector = vec_splats(flip_vec);
vector unsigned char swiz1 = {0, 1, 2, 3, 4, 5, 6, 7, 16, 17, 18, 19, 20, 21, 22, 23};
vector unsigned char swiz2 = {8, 9, 10, 11, 12, 13, 14, 15, 24, 25, 26, 27, 28, 29, 30, 31};
vector unsigned char swiz3 = {0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27};
vector unsigned char swiz4 = {4, 5, 6, 7, 12, 13, 14, 15, 20, 21, 22, 23, 28, 29, 30, 31};
aoffset = const_cast<TA*>(a);
vecOffset = vec;
j = (rows >> 3);
if (j > 0) {
do {
aoffset1 = aoffset;
aoffset2 = aoffset1 + lda;
aoffset3 = aoffset2 + lda;
aoffset4 = aoffset3 + lda;
aoffset5 = aoffset4 + lda;
aoffset6 = aoffset5 + lda;
aoffset7 = aoffset6 + lda;
aoffset8 = aoffset7 + lda;
aoffset += 8 * lda;
i = (cols >> 3);
if (i > 0) {
do {
C1 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset1->qs);
C2 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset2->qs);
C3 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset3->qs);
C4 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset4->qs);
C5 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset5->qs);
C6 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset6->qs);
C7 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset7->qs);
C8 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset8->qs);
__builtin_vsx_disassemble_pair(c1, &C1);
__builtin_vsx_disassemble_pair(c2, &C2);
__builtin_vsx_disassemble_pair(c3, &C3);
__builtin_vsx_disassemble_pair(c4, &C4);
__builtin_vsx_disassemble_pair(c5, &C5);
__builtin_vsx_disassemble_pair(c6, &C6);
__builtin_vsx_disassemble_pair(c7, &C7);
__builtin_vsx_disassemble_pair(c8, &C8);
PERMUTE_VEC(c1[0], c2[0], c3[0], c4[0], vecOffset);
PERMUTE_VEC(c1[1], c2[1], c3[1], c4[1], vecOffset+64);
PERMUTE_VEC(c5[0], c6[0], c7[0], c8[0], vecOffset+128);
PERMUTE_VEC(c5[1], c6[1], c7[1], c8[1], vecOffset+192);
aoffset1 += lda;
aoffset2 += lda;
aoffset3 += lda;
aoffset4 += lda;
aoffset5 += lda;
aoffset6 += lda;
aoffset7 += lda;
aoffset8 += lda;
vecOffset += 256;
i--;
} while(i > 0);
}
j--;
} while(j > 0);
}
if (rows & 4) {
aoffset1 = aoffset;
aoffset2 = aoffset1 + lda;
aoffset3 = aoffset2 + lda;
aoffset4 = aoffset3 + lda;
aoffset += 4 * lda;
i = (cols >> 3);
if (i > 0) {
do {
C1 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset1->qs);
C2 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset2->qs);
C3 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset3->qs);
C4 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset4->qs);
__builtin_vsx_disassemble_pair(c1, &C1);
__builtin_vsx_disassemble_pair(c2, &C2);
__builtin_vsx_disassemble_pair(c3, &C3);
__builtin_vsx_disassemble_pair(c4, &C4);
PERMUTE_VEC(c1[0], c2[0], c3[0], c4[0], vecOffset);
PERMUTE_VEC(c1[1], c2[1], c3[1], c4[1], vecOffset+64);
aoffset1 += lda;
aoffset2 += lda;
aoffset3 += lda;
aoffset4 += lda;
vecOffset += 128;
i--;
} while(i > 0);
}
}
if (rows & 3) {
aoffset1 = aoffset;
aoffset2 = aoffset1 + lda;
aoffset3 = aoffset2 + lda;
i = (cols >> 3);
if (i > 0) {
do {
switch(rows) {
case 3: C3 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset3->qs);
__builtin_vsx_disassemble_pair(c3, &C3);
case 2: C2 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset2->qs);
__builtin_vsx_disassemble_pair(c2, &C2);
case 1: C1 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset1->qs);
__builtin_vsx_disassemble_pair(c1, &C1);
break;
}
PERMUTE_VEC(c1[0], c2[0], c3[0], c4[0], vecOffset);
PERMUTE_VEC(c1[1], c2[1], c3[1], c4[1], vecOffset+64);
aoffset1 += lda;
aoffset2 += lda;
aoffset3 += lda;
vecOffset += 128;
i--;
} while(i > 0);
}
}
}
void mnpack(int64_t m0, int64_t m, int64_t n0, int64_t n) {
int64_t mc, nc, mp, np;
int m_rem = MIN(m - m0, 8);
int n_rem = MIN(n - n0, 8);
if (m_rem >= 16 && n_rem >= 8) {
mc = 8;
nc = 8;
gemm<8,8>(m0, m, n0, n);
} else if(m_rem >= 8 && n_rem >= 16) {
mc = 8;
nc = 8;
gemm<8,8>(m0, m, n0, n);
} else if (m_rem >= 8 && n_rem >= 8) {
mc = 8;
nc = 8;
gemm<8,8>(m0, m, n0, n);
} else if (m_rem >= 4 && n_rem >= 8) {
mc = 4;
nc = 8;
gemm<4,8>(m0, m, n0, n);
} else if (m_rem >= 8 && n_rem >= 4) {
mc = 8;
nc = 4;
gemm<8,4>(m0, m, n0, n);
} else if (m_rem >= 4 && n_rem >= 4) {
mc = 4;
nc = 4;
gemm_small(m0, m, n0, n, mc, nc);
} else if ((m_rem < 4) && (n_rem > 4)) {
nc = 4;
switch(m_rem) {
case 1:
mc = 1;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 2:
mc = 2;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 3:
mc = 3;
gemm_small(m0, m, n0, n, mc, nc);
break;
default:
return;
}
} else if ((m_rem > 4) && (n_rem < 4)) {
mc = 4;
switch(n_rem) {
case 1:
nc = 1;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 2:
nc = 2;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 3:
nc = 3;
gemm_small(m0, m, n0, n, mc, nc);
break;
default:
return;
}
} else {
switch((m_rem << 4) | n_rem) {
case 0x43:
mc = 4;
nc = 3;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x42:
mc = 4;
nc = 2;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x41:
mc = 4;
nc = 1;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x34:
mc = 3;
nc = 4;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x33:
mc = 3;
nc = 3;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x32:
mc = 3;
nc = 2;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x31:
mc = 3;
nc = 1;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x24:
mc = 2;
nc = 4;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x23:
mc = 2;
nc = 3;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x22:
mc = 2;
nc = 2;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x21:
mc = 2;
nc = 1;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x14:
mc = 1;
nc = 4;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x13:
mc = 1;
nc = 3;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x12:
mc = 1;
nc = 2;
gemm_small(m0, m, n0, n, mc, nc);
break;
case 0x11:
mc = 1;
nc = 1;
gemm_small(m0, m, n0, n, mc, nc);
break;
default:
return;
}
}
mp = m0 + (m - m0) / mc * mc;
np = n0 + (n - n0) / nc * nc;
mnpack(mp, m, n0, np);
mnpack(m0, m, np, n);
}
void KERNEL_4x8(int64_t ii, int64_t jj) {
vec_t vec_A[8], vec_B[16] = {0};
vector signed int vec_C[4];
acc_t acc_0, acc_1;
int *comparray = (int *)malloc(4 * sizeof(int));
vector float res[4] = {0};
vector float fin_res[8] = {0};
vector float vs[8] = {0};
vector float CA[4] = {0};
for (int l = 0; l < k; l++) {
__builtin_mma_xxsetaccz(&acc_0);
__builtin_mma_xxsetaccz(&acc_1);
packNormal<int8_t, vector signed char>((A+(ii*lda)+l), lda, 4, 8, (int8_t*)vec_A, false);
packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, 8, 8, (uint8_t*)vec_B, true);
for(int x = 0; x < 8; x++) {
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvi8ger4pp(&acc_1, vec_A[x], vec_B[x+8]);
}
for (int I = 0; I<4; I++) {
for (int J = 0; J<4; J++) {
*((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
*((float*)&vs[I+4]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J+4)*ldb)+l)->d));
}
}
TA *aoffset = const_cast<TA*>(A+(ii*lda)+l);
for (int i = 0; i < 4; i++) {
comparray[i] = 0;
int ca = 0;
const int8_t *at = aoffset->qs;
for (int j = 0; j < 32; j++)
ca += (int)*at++;
comparray[i] = ca;
aoffset += lda;
}
COMPUTE(&acc_0, 0, 0);
COMPUTE(&acc_1, 0, 4);
}
SAVE_RES(ii, jj, 4, 4, 0);
SAVE_RES(ii, jj+4, 4, 4, 4);
free(comparray);
}
void KERNEL_8x4(int64_t ii, int64_t jj) {
vec_t vec_A[16], vec_B[8] = {0};
vector signed int vec_C[4];
acc_t acc_0, acc_1;
int *comparray = (int *)malloc(8 * sizeof(int));
vector float res[4] = {0};
vector float fin_res[8] = {0};
vector float vs[8] = {0};
vector float CA[4] = {0};
for (int l = 0; l < k; l++) {
__builtin_mma_xxsetaccz(&acc_0);
__builtin_mma_xxsetaccz(&acc_1);
packNormal<int8_t, vector signed char>((A+(ii*lda)+l), lda, 8, 8, (int8_t*)vec_A, false);
packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, 4, 8, (uint8_t*)vec_B, true);
for(int x = 0; x < 8; x++) {
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvi8ger4pp(&acc_1, vec_A[x+8], vec_B[x]);
}
for (int I = 0; I<8; I++) {
for (int J = 0; J<4; J++) {
*((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
}
}
TA *aoffset = const_cast<TA*>(A+(ii*lda)+l);
for (int i = 0; i < 8; i++) {
comparray[i] = 0;
int ca = 0;
const int8_t *at = aoffset->qs;
for (int j = 0; j < 32; j++)
ca += (int)*at++;
comparray[i] = ca;
aoffset += lda;
}
COMPUTE(&acc_0, 0, 0);
COMPUTE(&acc_1, 4, 4);
}
SAVE_RES(ii, jj, 4, 4, 0);
SAVE_RES(ii+4, jj, 4, 4, 4);
free(comparray);
}
void KERNEL_8x8(int64_t ii, int64_t jj) {
vec_t vec_A[16], vec_B[16] = {0};
vector signed int vec_C[4];
acc_t acc_0, acc_1, acc_2, acc_3;
int *comparray = (int *)malloc(8 * sizeof(int));
vector float res[4] = {0};
vector float fin_res[16] = {0};
vector float vs[16] = {0};
vector float CA[4] = {0};
for (int l = 0; l < k; l++) {
__builtin_mma_xxsetaccz(&acc_0);
__builtin_mma_xxsetaccz(&acc_1);
__builtin_mma_xxsetaccz(&acc_2);
__builtin_mma_xxsetaccz(&acc_3);
packNormal<int8_t, vector signed char>((A+(ii*lda)+l), lda, 8, 8, (int8_t*)vec_A, false);
packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, 8, 8, (uint8_t*)vec_B, true);
for(int x = 0; x < 8; x++) {
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvi8ger4pp(&acc_1, vec_A[x+8], vec_B[x]);
__builtin_mma_xvi8ger4pp(&acc_2, vec_A[x], vec_B[x+8]);
__builtin_mma_xvi8ger4pp(&acc_3, vec_A[x+8], vec_B[x+8]);
}
for (int I = 0; I<8; I++) {
for (int J = 0; J<4; J++) {
*((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
*((float*)&vs[I+8]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J+4)*ldb)+l)->d));
}
}
TA *aoffset = const_cast<TA*>(A+(ii*lda)+l);
for (int i = 0; i < 8; i++) {
comparray[i] = 0;
int ca = 0;
const int8_t *at = aoffset->qs;
for (int j = 0; j < 32; j++)
ca += (int)*at++;
comparray[i] = ca;
aoffset += lda;
}
COMPUTE(&acc_0, 0, 0);
COMPUTE(&acc_1, 4, 4);
COMPUTE(&acc_2, 0, 8);
COMPUTE(&acc_3, 4, 12);
}
SAVE_RES(ii, jj, 4, 4, 0);
SAVE_RES(ii+4, jj, 4, 4, 4);
SAVE_RES(ii, jj+4, 4, 4, 8);
SAVE_RES(ii+4, jj+4, 4, 4, 12);
free(comparray);
}
void gemm_small(int64_t m0, int64_t m, int64_t n0, int64_t n, int RM, int RN) {
int64_t ytiles = (m - m0) / RM;
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;
vec_t vec_A[8], vec_B[8] = {0};
vector signed int vec_C[4];
acc_t acc_0;
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 * RN;
//int *comparray = (int *)malloc(RM * sizeof(int), 4096);
int *comparray = (int *)malloc(RM * sizeof(int));
vector float res[4] = {0};
vector float fin_res[4] = {0};
vector float vs[4] = {0};
vector float CA[4] = {0};
__builtin_prefetch((A+(ii*lda)+0)->qs, 0, 1); // prefetch first value
__builtin_prefetch((B+(jj*ldb)+0)->qs, 0, 1); // prefetch first value
for (int l = 0; l < k; l++) {
__builtin_prefetch((A+(ii*lda)+(l+1))->qs, 0, 1); // prefetch one loop ahead
__builtin_prefetch((B+(jj*ldb)+(l+1))->qs, 0, 1); // prefetch one loop ahead
__builtin_mma_xxsetaccz(&acc_0);
packNormal<int8_t, vector signed char>((A+(ii*lda)+l), lda, RM, 8, (int8_t*)vec_A, false);
packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, RN, 8, (uint8_t*)vec_B, true);
for(int x = 0; x < 8; x+=4) {
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x+1], vec_B[x+1]);
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x+2], vec_B[x+2]);
__builtin_mma_xvi8ger4pp(&acc_0, vec_A[x+3], vec_B[x+3]);
}
for (int I = 0; I<RM; I++) {
for (int J = 0; J<RN; J++) {
*((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
}
}
__builtin_mma_disassemble_acc(vec_C, &acc_0);
TA *aoffset = const_cast<TA*>(A+(ii*lda)+l);
for (int i = 0; i < RM; i++) {
comparray[i] = 0;
int ca = 0;
const int8_t *at = aoffset->qs;
for (int j = 0; j < 32; j++)
ca += (int)*at++;
comparray[i] = ca;
aoffset += lda;
}
for (int i = 0; i < RM; i++) {
CA[i] = vec_splats((float)(((double)comparray[i]) * -128.0));
res[i] = vec_add(vec_ctf(vec_C[i], 0), CA[i]);
fin_res[i] = vec_madd(res[i], vs[i], fin_res[i]);
}
}
SAVE_RES(ii, jj, RM, RN, 0);
free(comparray);
}
}
template <int RM, int RN>
NOINLINE void gemm(int64_t m0, int64_t m, int64_t n0, int64_t n) {
int64_t ytiles = (m - m0) / RM;
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 (RM == 4 && RN == 8) {
kernel = &tinyBLAS_Q0_PPC::KERNEL_4x8;
} else if (RM == 8 && RN == 4) {
kernel = &tinyBLAS_Q0_PPC::KERNEL_8x4;
} else if (RM == 8 && RN == 8) {
kernel = &tinyBLAS_Q0_PPC::KERNEL_8x8;
}
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 * RN;
(this->*kernel)(ii, jj);
}
}
const TA *const A;
const TB *const B;
TC *C;
TA *At;
TB *Bt;
const int64_t k;
const int64_t lda;
const int64_t ldb;
const int64_t ldc;
const int ith;
const int nth;
};
template <typename TA, typename TB, typename TC>
class tinyBLAS_PPC {
public:
@ -1061,13 +1632,17 @@ class tinyBLAS_PPC {
void (tinyBLAS_PPC::*kernel)(int64_t, int64_t);
void READ_BLOCK(const float* a, int64_t lda, int rows, int cols, float* vec) {
template<typename VA>
void packTranspose(const TA* a, int64_t lda, int rows, int cols, TA* vec) {
int64_t i, j;
float *aoffset = NULL, *boffset = NULL;
float *aoffset1 = NULL, *aoffset2 = NULL, *aoffset3 = NULL, *aoffset4 = NULL;
float *aoffset5 = NULL, *aoffset6 = NULL, *aoffset7 = NULL, *aoffset8 = NULL;
aoffset = const_cast<float*>(a);
TA *aoffset = NULL, *boffset = NULL;
TA *aoffset1 = NULL, *aoffset2 = NULL, *aoffset3 = NULL, *aoffset4 = NULL;
TA *aoffset5 = NULL, *aoffset6 = NULL, *aoffset7 = NULL, *aoffset8 = NULL;
__vector_pair C1, C2, C3, C4, C5, C6, C7, C8;
VA c1[2] = {0}, c2[2] = {0}, c3[2] = {0}, c4[2] = {0};
VA c5[2] = {0}, c6[2] = {0}, c7[2] = {0}, c8[2] = {0};
VA t1, t2, t3, t4, t5, t6, t7, t8;
aoffset = const_cast<TA*>(a);
boffset = vec;
j = (rows >> 3);
if (j > 0) {
@ -1083,9 +1658,6 @@ class tinyBLAS_PPC {
aoffset += 8 * lda;
i = (cols >> 3);
if (i > 0) {
__vector_pair C1, C2, C3, C4, C5, C6, C7, C8;
vector float c1[2], c2[2], c3[2], c4[2], c5[2], c6[2], c7[2], c8[2];
vector float t1, t2, t3, t4, t5, t6, t7, t8;
do {
C1 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset1);
C2 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset2);
@ -1165,21 +1737,19 @@ class tinyBLAS_PPC {
} while(i > 0);
}
if (cols & 4) {
vector float c1, c2, c3, c4, c5, c6, c7, c8;
vector float t1, t2, t3, t4, t5, t6, t7, t8;
c1 = vec_xl(0, aoffset1);
c2 = vec_xl(0, aoffset2);
c3 = vec_xl(0, aoffset3);
c4 = vec_xl(0, aoffset4);
c5 = vec_xl(0, aoffset5);
c6 = vec_xl(0, aoffset6);
c7 = vec_xl(0, aoffset7);
c8 = vec_xl(0, aoffset8);
c1[0] = vec_xl(0, aoffset1);
c2[0] = vec_xl(0, aoffset2);
c3[0] = vec_xl(0, aoffset3);
c4[0] = vec_xl(0, aoffset4);
c5[0] = vec_xl(0, aoffset5);
c6[0] = vec_xl(0, aoffset6);
c7[0] = vec_xl(0, aoffset7);
c8[0] = vec_xl(0, aoffset8);
t1 = vec_mergeh(c1, c2);
t2 = vec_mergeh(c3, c4);
t3 = vec_mergeh(c5, c6);
t4 = vec_mergeh(c7, c8);
t1 = vec_mergeh(c1[0], c2[0]);
t2 = vec_mergeh(c3[0], c4[0]);
t3 = vec_mergeh(c5[0], c6[0]);
t4 = vec_mergeh(c7[0], c8[0]);
t5 = vec_xxpermdi(t1, t2, 0);
t6 = vec_xxpermdi(t3, t4, 0);
t7 = vec_xxpermdi(t1, t2, 3);
@ -1189,10 +1759,10 @@ class tinyBLAS_PPC {
vec_xst(t7, 0, boffset+8);
vec_xst(t8, 0, boffset+12);
t1 = vec_mergel(c1, c2);
t2 = vec_mergel(c3, c4);
t3 = vec_mergel(c5, c6);
t4 = vec_mergel(c7, c8);
t1 = vec_mergel(c1[0], c2[0]);
t2 = vec_mergel(c3[0], c4[0]);
t3 = vec_mergel(c5[0], c6[0]);
t4 = vec_mergel(c7[0], c8[0]);
t5 = vec_xxpermdi(t1, t2, 0);
t6 = vec_xxpermdi(t3, t4, 0);
t7 = vec_xxpermdi(t1, t2, 3);
@ -1214,9 +1784,6 @@ class tinyBLAS_PPC {
aoffset += 4 * lda;
i = (cols >> 3);
if (i > 0) {
__vector_pair C1, C2, C3, C4;
vector float c1[2], c2[2], c3[2], c4[2];
vector float t1, t2, t3, t4, t5, t6, t7, t8;
do {
C1 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset1);
C2 = __builtin_vsx_lxvp(0, (__vector_pair*)aoffset2);
@ -1263,22 +1830,20 @@ class tinyBLAS_PPC {
}
if (cols & 4) {
vector float c1, c2, c3, c4;
vector float t1, t2, t3, t4;
c1 = vec_xl(0, aoffset1);
c2 = vec_xl(0, aoffset2);
c3 = vec_xl(0, aoffset3);
c4 = vec_xl(0, aoffset4);
c1[0] = vec_xl(0, aoffset1);
c2[0] = vec_xl(0, aoffset2);
c3[0] = vec_xl(0, aoffset3);
c4[0] = vec_xl(0, aoffset4);
t1 = vec_mergeh(c1, c2);
t2 = vec_mergeh(c3, c4);
t1 = vec_mergeh(c1[0], c2[0]);
t2 = vec_mergeh(c3[0], c4[0]);
t3 = vec_xxpermdi(t1, t2, 0);
t4 = vec_xxpermdi(t1, t2, 3);
vec_xst(t3, 0, boffset);
vec_xst(t4, 0, boffset+4);
t1 = vec_mergel(c1, c2);
t2 = vec_mergel(c3, c4);
t1 = vec_mergel(c1[0], c2[0]);
t2 = vec_mergel(c3[0], c4[0]);
t3 = vec_xxpermdi(t1, t2, 0);
t4 = vec_xxpermdi(t1, t2, 3);
vec_xst(t3, 0, boffset+8);
@ -1290,21 +1855,19 @@ class tinyBLAS_PPC {
aoffset2 = aoffset1 + lda;
aoffset3 = aoffset2 + lda;
if (cols & 4) {
vector float c1, c2, c3, c4 = {0};
vector float t1, t2, t3, t4;
c1 = vec_xl(0, aoffset1);
c2 = vec_xl(0, aoffset2);
c3 = vec_xl(0, aoffset3);
c1[0] = vec_xl(0, aoffset1);
c2[0] = vec_xl(0, aoffset2);
c3[0] = vec_xl(0, aoffset3);
t1 = vec_mergeh(c1, c2);
t2 = vec_mergeh(c3, c4);
t1 = vec_mergeh(c1[0], c2[0]);
t2 = vec_mergeh(c3[0], c4[0]);
t3 = vec_xxpermdi(t1, t2, 0);
t4 = vec_xxpermdi(t1, t2, 3);
vec_xst(t3, 0, boffset);
vec_xst(t4, 0, boffset+4);
t1 = vec_mergel(c1, c2);
t2 = vec_mergel(c3, c4);
t1 = vec_mergel(c1[0], c2[0]);
t2 = vec_mergel(c3[0], c4[0]);
t3 = vec_xxpermdi(t1, t2, 0);
t4 = vec_xxpermdi(t1, t2, 3);
vec_xst(t3, 0, boffset+8);
@ -1312,14 +1875,13 @@ class tinyBLAS_PPC {
}
}
}
void KERNEL_4x4(int64_t ii, int64_t jj) {
vec_t vec_A[4], vec_B[4], vec_C[4];
acc_t acc_0;
__builtin_mma_xxsetaccz(&acc_0);
for (int l = 0; l < k; l+=4) {
READ_BLOCK(A+(ii*lda)+l, lda, 4, 4, (float*)vec_A);
READ_BLOCK(B+(jj*ldb)+l, ldb, 4, 4, (float*)vec_B);
packTranspose<vector float>(A+(ii*lda)+l, lda, 4, 4, (TA*)vec_A);
packTranspose<vector float>(B+(jj*ldb)+l, ldb, 4, 4, (TA*)vec_B);
__builtin_mma_xvf32gerpp(&acc_0, vec_A[0], vec_B[0]);
__builtin_mma_xvf32gerpp(&acc_0, vec_A[1], vec_B[1]);
__builtin_mma_xvf32gerpp(&acc_0, vec_A[2], vec_B[2]);
@ -1334,8 +1896,8 @@ class tinyBLAS_PPC {
__builtin_mma_xxsetaccz(&acc_0);
__builtin_mma_xxsetaccz(&acc_1);
for (int64_t l = 0; l < k; l+=4) {
READ_BLOCK(A+(ii*lda)+l, lda, 4, 4, (float*)vec_A);
READ_BLOCK(B+(jj*ldb)+l, ldb, 8, 4, (float*)vec_B);
packTranspose<vector float>(A+(ii*lda)+l, lda, 4, 4, (TA*)vec_A);
packTranspose<vector float>(B+(jj*ldb)+l, ldb, 8, 4, (TA*)vec_B);
__builtin_mma_xvf32gerpp(&acc_0, vec_A[0], (vec_t)vec_B[0]);
__builtin_mma_xvf32gerpp(&acc_1, vec_A[0], (vec_t)vec_B[1]);
__builtin_mma_xvf32gerpp(&acc_0, vec_A[1], (vec_t)vec_B[2]);
@ -1355,8 +1917,8 @@ class tinyBLAS_PPC {
__builtin_mma_xxsetaccz(&acc_0);
__builtin_mma_xxsetaccz(&acc_1);
for (int64_t l = 0; l < k; l+=4) {
READ_BLOCK(A+(ii*lda)+l, lda, 8, 4, (float*)vec_A);
READ_BLOCK(B+(jj*ldb)+l, ldb, 4, 4, (float*)vec_B);
packTranspose<vector float>(A+(ii*lda)+l, lda, 8, 4, (TA*)vec_A);
packTranspose<vector float>(B+(jj*ldb)+l, ldb, 4, 4, (TA*)vec_B);
__builtin_mma_xvf32gerpp(&acc_0, (vec_t)vec_A[0], vec_B[0]);
__builtin_mma_xvf32gerpp(&acc_1, (vec_t)vec_A[1], vec_B[0]);
__builtin_mma_xvf32gerpp(&acc_0, (vec_t)vec_A[2], vec_B[1]);
@ -1378,8 +1940,8 @@ class tinyBLAS_PPC {
__builtin_mma_xxsetaccz(&acc_2);
__builtin_mma_xxsetaccz(&acc_3);
for (int l = 0; l < k; l+=8) {
READ_BLOCK(A+(ii*lda)+l, lda, 8, 8, (float*)vec_A);
READ_BLOCK(B+(jj*ldb)+l, ldb, 8, 8, (float*)vec_B);
packTranspose<vector float>(A+(ii*lda)+l, lda, 8, 8, (TA*)vec_A);
packTranspose<vector float>(B+(jj*ldb)+l, ldb, 8, 8, (TA*)vec_B);
for(int x = 0; x < 16; x+=2) {
__builtin_mma_xvf32gerpp(&acc_0, (vec_t)vec_A[x], vec_B[x]);
__builtin_mma_xvf32gerpp(&acc_1, (vec_t)vec_A[x], vec_B[x+1]);
@ -1562,15 +2124,15 @@ class tinyBLAS_PPC {
vec_t vec_A[4], vec_B[4];
for (int l=0; l<k; l+=4) {
if (RN >= 4 && RM == 1) {
float* a = const_cast<float*>(A+(ii)*lda+l);
READ_BLOCK(B+(jj*ldb)+l, ldb, 4, 4, (float*)vec_B);
TA* a = const_cast<TA*>(A+(ii)*lda+l);
packTranspose<vector float>(B+(jj*ldb)+l, ldb, 4, 4, (TA*)vec_B);
vec_A[0] = (vec_t)vec_xl(0,a);
vec_A[1] = (vec_t)vec_splats(*((float*)&vec_A+1));
vec_A[2] = (vec_t)vec_splats(*((float*)&vec_A+2));
vec_A[3] = (vec_t)vec_splats(*((float*)&vec_A+3));
vec_A[1] = (vec_t)vec_splats(*((TA*)&vec_A+1));
vec_A[2] = (vec_t)vec_splats(*((TA*)&vec_A+2));
vec_A[3] = (vec_t)vec_splats(*((TA*)&vec_A+3));
} else {
READ_BLOCK(A+(ii*lda)+l, lda, RM, 4, (float*)vec_A);
READ_BLOCK(B+(jj*ldb)+l, ldb, RN, 4, (float*)vec_B);
packTranspose<vector float>(A+(ii*lda)+l, lda, RM, 4, (TA*)vec_A);
packTranspose<vector float>(B+(jj*ldb)+l, ldb, RN, 4, (TA*)vec_B);
}
__builtin_mma_xvf32gerpp(&acc_0, vec_A[0], vec_B[0]);
__builtin_mma_xvf32gerpp(&acc_0, vec_A[1], vec_B[1]);
@ -1580,7 +2142,7 @@ class tinyBLAS_PPC {
__builtin_mma_disassemble_acc(vec_C, &acc_0);
for (int I = 0; I < RM; I++) {
for (int J = 0; J < RN; J++) {
*((float*)(C+ii+((jj+J)*ldc)+I)) = *((float*)&vec_C[I]+J);
*((TC*)(C+ii+((jj+J)*ldc)+I)) = *((TC*)&vec_C[I]+J);
}
}
}
@ -1803,6 +2365,18 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
ith, nth};
tb.matmul(m, n);
return true;
#elif defined(__MMA__)
if (n < 8 && n != 4)
return false;
if (m < 8 && m != 4)
return false;
tinyBLAS_Q0_PPC<block_q8_0, block_q8_0, float> tb{
k, (const block_q8_0 *)A, lda,
(const block_q8_0 *)B, ldb,
(float *)C, ldc,
ith, nth};
tb.matmul(m, n);
return true;
#else
return false;
#endif