ncnn/src/layer/arm/convolution_arm.h

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//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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#ifndef LAYER_CONVOLUTION_ARM_H
#define LAYER_CONVOLUTION_ARM_H

#include "convolution.h"

namespace ncnn {

class Convolution_arm : virtual public Convolution
{
public:
    Convolution_arm();

    virtual int create_pipeline(const Option& opt);
    virtual int destroy_pipeline(const Option& opt);

    virtual int forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;

protected:
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
    int create_pipeline_fp16s(const Option& opt);
    int forward_fp16s(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
    int forward_fp16sa(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
#endif
    int create_pipeline_bf16s(const Option& opt);
    int forward_bf16s(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
#if NCNN_INT8
    int create_pipeline_int8_arm(const Option& opt);
    int forward_int8_arm(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
#endif
    int forwardDilation_arm(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;

public:
    Layer* activation;
    bool use_winograd3x3;
    bool use_sgemm1x1;
    Mat weight_3x3_winograd64_data;
    Mat weight_3x3s2_data;
    Mat weight_sgemm_data;

    // forwardDilation
    Layer* convolution_dilation1;

    // pack4
    Mat weight_data_pack4;
    Mat weight_data_pack1to4;
    Mat weight_data_pack4to1;

    Mat weight_3x3_winograd42_data_pack4;
    Mat weight_sgemm_data_pack4;

    // fp16
    Mat weight_data_fp16;
    Mat bias_data_fp16;

    // bf16
    Mat weight_data_bf16;

#if NCNN_INT8
    // int8
    Mat weight_data_int8;

    //     Mat weight_3x3s2_data_int8;
    std::vector<Mat> weight_3x3_winograd23_data_int8;
#endif
};

} // namespace ncnn

#endif // LAYER_CONVOLUTION_ARM_H