megenginelite-sys 1.8.2

/**
 * \file dnn/src/aarch64/matrix_mul/quint8/strategy.cpp
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 */

#include "src/aarch64/matrix_mul/quint8/strategy.h"
#include "src/aarch64/matrix_mul/asm/common.h"
#include "src/aarch64/matrix_mul/quint8/kernel_8x8x8.h"
#include "src/arm_common/simd_macro/marm_neon.h"
#include "src/common/utils.h"

using namespace megdnn;
using namespace aarch64;
using namespace aarch64::matmul;

MEGDNN_REG_GEMM_STRATEGY_IMPL(gemm_u8_8x8);

void gemm_u8_8x8::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_8x8x8::gemm_u8_8x8_transpose_pack_A_n(
                outptr, inptr, ldin, y0, ymax, k0, kmax, zA);
    } else {
        matmul_8x8x8::gemm_u8_8x8_pack_A_n(outptr, inptr, ldin, y0, ymax, k0, kmax, zA);
    }
}

void gemm_u8_8x8::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_8x8x8::gemm_u8_8x8_transpose_pack_B_n(
                out, in, ldin, x0, xmax, k0, kmax, zB);
    } else {
        matmul_8x8x8::gemm_u8_8x8_pack_B_n(out, in, ldin, x0, xmax, k0, kmax, zB);
    }
}

void gemm_u8_8x8::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 = 8;
    constexpr size_t B_INTERLEAVE = 8;
    //! K is packed to times of 8
    K = round_up<size_t>(K, 8);
    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);

        size_t n = 0;
        const dt_uint8* cur_packB = packB;
        for (; n + B_INTERLEAVE - 1 < N; n += B_INTERLEAVE) {
            matmul_8x8x8::kern_8x8(
                    packA, cur_packB, K, output, LDC, is_first_k, zA, zB);
            output += B_INTERLEAVE;
            cur_packB += K8;
        }

        for (; n < N; n += 4) {
            matmul_8x8x8::kern_8x4(
                    packA, cur_packB, K, output, LDC, is_first_k,
                    std::min<size_t>(N - n, 4), zA, zB);
            output += 4;
            cur_packB += K4;
        }
        packA += K8;
    }

    for (; m < M; m += 4) {
        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_8x8x8::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_8x8x8::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;
    }
}

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