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ggml_vec_dot_q8_q8 mma optimize #6

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92 changes: 62 additions & 30 deletions ggml/src/ggml-cpu/ggml-cpu-quants.c
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Original file line number Diff line number Diff line change
Expand Up @@ -3920,46 +3920,78 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const voi

sumf += sumi*(GGML_FP16_TO_FP32(x[ib].d)*GGML_FP16_TO_FP32(y[ib].d));
}
#elif defined(__POWER9_VECTOR__)
const vector signed int v0 = vec_splats((int32_t)0);
vector float vsumf0 = vec_splats(0.0f);
#if defined(__POWER9_VECTOR__)
const int batch_size = 4;
float vsumf0 = 0.0f;

vector unsigned char xor_vector = vec_splats((unsigned char)0x80);
vector unsigned char one_vector = vec_splats((unsigned char)1);

for (; ib < nb; ib += batch_size) {
__vector_quad acc[batch_size * 2];
__vector_quad acc_hsum[batch_size * 2];
vector unsigned char q8x_store[batch_size][2];
float deltas[batch_size];

for (int i = 0; i < batch_size * 2; i++) {
__builtin_mma_xxsetaccz(&acc[i]);
__builtin_mma_xxsetaccz(&acc_hsum[i]);
}

#pragma GCC unroll 8
for (; ib < nb; ++ib) {
__builtin_prefetch(x[ib].qs, 0, 1);
__builtin_prefetch(y[ib].qs, 0, 1);
for (int b = 0; b < batch_size; ++b) {
deltas[b] = GGML_FP16_TO_FP32(x[ib + b].d) * GGML_FP16_TO_FP32(y[ib + b].d);
__builtin_prefetch(x[ib + b].qs, 0, 1);
__builtin_prefetch(y[ib + b].qs, 0, 1);

vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[ib].d));
vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[ib].d));
vector float vd = vec_mul(vxd, vyd);
__vector_pair X, Y;
__vector_unsigned char q8x[2], q8y[2];

vector signed char q8x0 = vec_xl( 0, x[ib].qs);
vector signed char q8x1 = vec_xl(16, x[ib].qs);
vector signed char q8y0 = vec_xl( 0, y[ib].qs);
vector signed char q8y1 = vec_xl(16, y[ib].qs);
X = __builtin_vsx_lxvp(0, (__vector_pair*)x[ib + b].qs);
Y = __builtin_vsx_lxvp(0, (__vector_pair*)y[ib + b].qs);

vector signed short qv0 = vec_mule(q8x0, q8y0);
vector signed short qv1 = vec_mulo(q8x0, q8y0);
vector signed short qv2 = vec_mule(q8x1, q8y1);
vector signed short qv3 = vec_mulo(q8x1, q8y1);
__builtin_vsx_disassemble_pair(q8x, &X);
__builtin_vsx_disassemble_pair(q8y, &Y);

vector signed int vsumi0 = v0;
vector signed int vsumi1 = v0;
q8y[0] = vec_xor(q8y[0], xor_vector);
q8y[1] = vec_xor(q8y[1], xor_vector);

vsumi0 = vec_sum4s(qv0, vsumi0);
vsumi1 = vec_sum4s(qv1, vsumi1);
vsumi0 = vec_sum4s(qv2, vsumi0);
vsumi1 = vec_sum4s(qv3, vsumi1);
q8x_store[b][0] = q8x[0];
q8x_store[b][1] = q8x[1];

vsumi0 = vec_add(vsumi0, vsumi1);
__builtin_mma_xvi8ger4pp(&acc[b * 2 + 0], q8x[0], q8y[0]);
__builtin_mma_xvi8ger4pp(&acc[b * 2 + 1], q8x[1], q8y[1]);

vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
}
__builtin_mma_xvi8ger4pp(&acc_hsum[b * 2 + 0], q8x[0], one_vector);
__builtin_mma_xvi8ger4pp(&acc_hsum[b * 2 + 1], q8x[1], one_vector);
}

vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
for (int b = 0; b < batch_size; ++b) {
vector signed int temp0[4], temp1[4];

sumf = vec_extract(vsumf0, 0);
__builtin_mma_disassemble_acc(temp0, &acc[b * 2 + 0]);
__builtin_mma_disassemble_acc(temp1, &acc[b * 2 + 1]);

int32_t mma_sum0 = *((int32_t*)&temp0[0] + 0) + *((int32_t*)&temp0[1] + 1) +
*((int32_t*)&temp0[2] + 2) + *((int32_t*)&temp0[3] + 3);
int32_t mma_sum1 = *((int32_t*)&temp1[0] + 0) + *((int32_t*)&temp1[1] + 1) +
*((int32_t*)&temp1[2] + 2) + *((int32_t*)&temp1[3] + 3);

__builtin_mma_disassemble_acc(temp0, &acc_hsum[b * 2 + 0]);
__builtin_mma_disassemble_acc(temp1, &acc_hsum[b * 2 + 1]);

int32_t sum0 = *((int32_t*)&temp0[0] + 0) + *((int32_t*)&temp0[1] + 1) +
*((int32_t*)&temp0[2] + 2) + *((int32_t*)&temp0[3] + 3);
int32_t sum1 = *((int32_t*)&temp1[0] + 0) + *((int32_t*)&temp1[1] + 1) +
*((int32_t*)&temp1[2] + 2) + *((int32_t*)&temp1[3] + 3);

int32_t vsum = mma_sum0 + mma_sum1 + (sum0 + sum1) * -128;
vsumf0 += (float)vsum * deltas[b];
}
}

return vsumf0;

#endif

#elif defined(__loongarch_asx)
// Initialize accumulator with zeros
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