megenginelite-sys 1.8.2

/**
 * \file dnn/src/arm_common/conv_bias/quint8/algos.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/arm_common/conv_bias/quint8/algos.h"
#include "src/arm_common/conv_bias/quint8/stride1.h"
#include "src/arm_common/conv_bias/quint8/stride1_dotprod.h"
#include "src/arm_common/conv_bias/quint8/stride2.h"
#include "src/arm_common/conv_bias/quint8/stride2_dotprod.h"
#include "src/arm_common/elemwise_op.h"
#include "src/fallback/conv_bias/common.h"

#include "midout.h"

MIDOUT_DECL(megdnn_arm_common_conv_bias_quint8)

using namespace megdnn;
using namespace arm_common;

/* ===================== stride1 algo ===================== */
bool ConvBiasImpl::AlgoQU8DirectStride1::usable(
        const NCBKernSizeParam& param, AlgoSelectionStrategy) const {
    return direct_quint8_stride1::can_conv_direct_stride1_quint8(param);
}

size_t ConvBiasImpl::AlgoQU8DirectStride1::get_workspace(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::get_workspace"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        auto bundle = direct_quint8_stride1::get_bundle(param, large_group);
        return bundle.total_size_in_bytes();
    }
    MIDOUT_END();
    return 0;
}

SmallVector<ConvBiasImpl::NCBKern> ConvBiasImpl::AlgoQU8DirectStride1::dispatch_kerns(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::dispatch_kerns"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        return direct_quint8_stride1::get_kimpls(param, large_group);
    }
    MIDOUT_END();
    return {};
}

/* ===================== stride2 algo ===================== */
bool ConvBiasImpl::AlgoQU8DirectStride2::usable(
        const NCBKernSizeParam& param, AlgoSelectionStrategy) const {
    return direct_quint8_stride2::can_conv_direct_stride2_quint8(param);
}

size_t ConvBiasImpl::AlgoQU8DirectStride2::get_workspace(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::get_workspace"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        auto bundle = direct_quint8_stride2::get_bundle(param, large_group);
        return bundle.total_size_in_bytes();
    }
    MIDOUT_END();
    return 0;
}

SmallVector<ConvBiasImpl::NCBKern> ConvBiasImpl::AlgoQU8DirectStride2::dispatch_kerns(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::dispatch_kerns"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        return direct_quint8_stride2::get_kimpls(param, large_group);
    }
    MIDOUT_END();
    return {};
}
#if MGB_ENABLE_DOT
/* ===================== stride1 algo ===================== */
bool ConvBiasImpl::AlgoDotU8DirectStride1::usable(
        const NCBKernSizeParam& param, AlgoSelectionStrategy) const {
    if (!cpuinfo_has_arm_neon_dot()) {
        return false;
    }
    return direct_dotprod_quint8_stride1::can_conv_direct_stride1_quint8(param);
}

size_t ConvBiasImpl::AlgoDotU8DirectStride1::get_workspace(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::get_workspace"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        auto bundle = direct_dotprod_quint8_stride1::get_bundle(param, large_group);
        return bundle.total_size_in_bytes();
    }
    MIDOUT_END();
    return 0;
}

SmallVector<ConvBiasImpl::NCBKern> ConvBiasImpl::AlgoDotU8DirectStride1::dispatch_kerns(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::dispatch_kerns"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        return direct_dotprod_quint8_stride1::get_kimpls(param, large_group);
    }
    MIDOUT_END();
    return {};
}

/* ===================== stride2 algo ===================== */
bool ConvBiasImpl::AlgoDotU8DirectStride2::usable(
        const NCBKernSizeParam& param, AlgoSelectionStrategy) const {
    if (!cpuinfo_has_arm_neon_dot()) {
        return false;
    }
    return direct_dotprod_quint8_stride2::can_conv_direct_stride2_quint8(param);
}

size_t ConvBiasImpl::AlgoDotU8DirectStride2::get_workspace(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::get_workspace"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        auto bundle = direct_dotprod_quint8_stride2::get_bundle(param, large_group);
        return bundle.total_size_in_bytes();
    }
    MIDOUT_END();
    return 0;
}

SmallVector<ConvBiasImpl::NCBKern> ConvBiasImpl::AlgoDotU8DirectStride2::dispatch_kerns(
        const NCBKernSizeParam& param) const {
    MIDOUT_BEGIN(
            megdnn_arm_common_conv_bias_quint8,
            midout_iv("AlgoQU8DirectStride1::dispatch_kerns"_hash)) {
        bool large_group = param.filter_meta.group >= param.nr_threads;
        return direct_dotprod_quint8_stride2::get_kimpls(param, large_group);
    }
    MIDOUT_END();
    return {};
}

#endif
// vim: syntax=cpp.doxygen