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//
// Copyright (C) 2020 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
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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#ifndef TNN_SOURCE_TNN_DEVICE_OPENCL_ACC_OPENCL_DECONV_LAYER_DEPTHWISE_ACC_H_
#define TNN_SOURCE_TNN_DEVICE_OPENCL_ACC_OPENCL_DECONV_LAYER_DEPTHWISE_ACC_H_

#include "tnn/device/opencl/acc/deconvolution/opencl_deconv_layer_acc_impl.h"
#include "tnn/device/opencl/opencl_memory.h"
namespace TNN_NS {

class OpenCLDeconvLayerDepthwiseAcc : public OpenCLDeconvLayerAccImpl {
public:
    // @brief judge if OpenCLDeconvLayerDepthwiseAcc is prefered.
    static bool IsPrefered(const ConvLayerParam *param, const std::vector<Blob *> &inputs,
                           const std::vector<Blob *> &outputs);

    virtual Status Init(Context *context, LayerParam *param, LayerResource *resource, const std::vector<Blob *> &inputs,
                        const std::vector<Blob *> &outputs) override;

    virtual ~OpenCLDeconvLayerDepthwiseAcc() override;

private:
    virtual void SetExtraKernelParameters(uint32_t idx, const std::vector<Blob *> &inputs, 
                                        const std::vector<Blob *> &outputs) override;

};

}  // namespace TNN_NS

#endif  // TNN_SOURCE_TNN_DEVICE_OPENCL_ACC_OPENCL_DECONV_LAYER_DEPTHWISE_ACC_H_
