#include "src/armv7/matrix_mul/quint8/strategy.h"
#include "src/arm_common/simd_macro/marm_neon.h"
#include "src/armv7/matrix_mul/asm/common.h"
#include "src/armv7/matrix_mul/quint8/kernel_4x8x8.h"
#include "src/armv7/matrix_mul/quint8/kernel_dot_4x8x4.h"
#include "src/common/utils.h"
using namespace megdnn;
using namespace armv7;
using namespace armv7::matmul;
MEGDNN_REG_GEMM_STRATEGY_IMPL(gemm_u8_4x8);
void gemm_u8_4x8::pack_A(
dt_uint8* outptr, const dt_uint8* inptr, int ldin, int y0, int ymax, int k0,
int kmax, bool transpose) const {
uint8_t zA = A_dtype.param<dtype::Quantized8Asymm>().zero_point;
if (transpose) {
matmul_4x8x8::gemm_u8_4x8_transpose_pack_A_n(
outptr, inptr, ldin, y0, ymax, k0, kmax, zA);
} else {
matmul_4x8x8::gemm_u8_4x8_pack_A_n(outptr, inptr, ldin, y0, ymax, k0, kmax, zA);
}
}
void gemm_u8_4x8::pack_B(
dt_uint8* out, const dt_uint8* in, int ldin, int x0, int xmax, int k0, int kmax,
bool transpose) const {
uint8_t zB = B_dtype.param<dtype::Quantized8Asymm>().zero_point;
if (transpose) {
matmul_4x8x8::gemm_u8_4x8_transpose_pack_B_n(
out, in, ldin, x0, xmax, k0, kmax, zB);
} else {
matmul_4x8x8::gemm_u8_4x8_pack_B_n(out, in, ldin, x0, xmax, k0, kmax, zB);
}
}
void gemm_u8_4x8::kern(
const dt_uint8* packA, const dt_uint8* packB, size_t M, size_t N, size_t K,
dt_int32* C, size_t LDC, bool is_first_k, const dt_int32*, dt_int32*) const {
megdnn_assert(
A_dtype.enumv() == B_dtype.enumv() &&
A_dtype.enumv() == DTypeEnum::Quantized8Asymm &&
C_dtype.enumv() == DTypeEnum::QuantizedS32,
"A: %s B: %s C: %s", A_dtype.name(), B_dtype.name(), C_dtype.name());
uint8_t zA = A_dtype.param<dtype::Quantized8Asymm>().zero_point;
uint8_t zB = B_dtype.param<dtype::Quantized8Asymm>().zero_point;
constexpr size_t A_INTERLEAVE = 4;
constexpr size_t B_INTERLEAVE = 8;
K = round_up<size_t>(K, 8);
const int K8 = K * 8;
const int K4 = K * 4;
size_t m = 0;
for (; m < M; m += A_INTERLEAVE) {
int32_t* output = C + (m * LDC);
const dt_uint8* cur_packB = packB;
size_t n = 0;
for (; n + B_INTERLEAVE - 1 < N; n += B_INTERLEAVE) {
matmul_4x8x8::kern_4x8(
packA, cur_packB, K, output, LDC, is_first_k,
std::min<size_t>(M - m, 4), zA, zB);
output += B_INTERLEAVE;
cur_packB += K8;
}
for (; n < N; n += 4) {
matmul_4x8x8::kern_4x4(
packA, cur_packB, K, output, LDC, is_first_k,
std::min<size_t>(M - m, 4), std::min<size_t>(N - n, 4), zA, zB);
output += 4;
cur_packB += K4;
}
packA += K4;
}
}
#if MGB_ENABLE_DOT
MEGDNN_REG_GEMM_STRATEGY_IMPL(gemm_dot_quint8_4x8);
void gemm_dot_quint8_4x8::pack_A(
dt_uint8* out, const dt_uint8* in, int ldin, int y0, int ymax, int k0, int kmax,
bool transpose) const {
if (transpose) {
matmul_dot_4x8x4::gemm_quint8_4x8_pack_A_t(out, in, ldin, y0, ymax, k0, kmax);
} else {
matmul_dot_4x8x4::gemm_quint8_4x8_pack_A_n(out, in, ldin, y0, ymax, k0, kmax);
}
}
void gemm_dot_quint8_4x8::pack_B(
dt_uint8* out, const dt_uint8* in, int ldin, int x0, int xmax, int k0, int kmax,
bool transpose) const {
if (transpose) {
matmul_dot_4x8x4::gemm_quint8_4x8_pack_B_t(out, in, ldin, x0, xmax, k0, kmax);
} else {
matmul_dot_4x8x4::gemm_quint8_4x8_pack_B_n(out, in, ldin, x0, xmax, k0, kmax);
}
}
void gemm_dot_quint8_4x8::kern(
const dt_uint8* packA, const dt_uint8* packB, size_t M, size_t N, size_t K,
dt_int32* C, size_t LDC, bool is_first_k, const dt_int32*,
dt_int32* workspace) const {
megdnn_assert(
A_dtype.enumv() == B_dtype.enumv() &&
A_dtype.enumv() == DTypeEnum::Quantized8Asymm &&
C_dtype.enumv() == DTypeEnum::QuantizedS32,
"A: %s B: %s C: %s", A_dtype.name(), B_dtype.name(), C_dtype.name());
uint8_t zA = A_dtype.param<dtype::Quantized8Asymm>().zero_point;
uint8_t zB = B_dtype.param<dtype::Quantized8Asymm>().zero_point;
const uint32_t zAB = static_cast<uint32_t>(zA) * static_cast<uint32_t>(zB) * K;
constexpr size_t A_INTERLEAVE = 4;
constexpr size_t B_INTERLEAVE = 8;
K = round_up<size_t>(K, 4);
const int K8 = K * 8;
const int K4 = K * 4;
size_t m = 0;
for (; m + A_INTERLEAVE - 1 < M; m += A_INTERLEAVE) {
int32_t* output = C + (m * LDC);
const dt_uint8* cur_packB = packB;
size_t n = 0;
for (; n + B_INTERLEAVE - 1 < N; n += B_INTERLEAVE) {
matmul_dot_4x8x4::kern_4x8(
packA, cur_packB, K, output, LDC, is_first_k, zA, zB, zAB);
output += B_INTERLEAVE;
cur_packB += K8;
}
for (; n < N; n += 4) {
size_t n_remain = std::min<size_t>(N - n, 4);
matmul_dot_4x8x4::kern_4x4(
packA, cur_packB, K, output, LDC, is_first_k, zA, zB, zAB, 4,
n_remain);
output += n_remain;
cur_packB += K4;
}
packA += K4;
}
if (m < M) {
int32_t* output = C + (m * LDC);
const dt_uint8* cur_packB = packB;
size_t m_remain = std::min<size_t>(M - m, 4);
size_t n = 0;
for (; n + B_INTERLEAVE - 1 < N; n += B_INTERLEAVE) {
matmul_dot_4x8x4::kern_4x8(
packA, cur_packB, K, output, LDC, is_first_k, zA, zB, zAB,
m_remain);
output += B_INTERLEAVE;
cur_packB += K8;
}
for (; n < N; n += 4) {
size_t n_remain = std::min<size_t>(N - n, 4);
matmul_dot_4x8x4::kern_4x4(
packA, cur_packB, K, output, LDC, is_first_k, zA, zB, zAB, m_remain,
n_remain);
output += n_remain;
cur_packB += K4;
}
packA += K4;
}
}
#endif