// Tencent is pleased to support the open source community by making TNN available.
//
// 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
// specific language governing permissions and limitations under the License.

#ifndef TNN_SOURCE_TNN_NET_OPTIMIZER_REMOVE_LAYERS_H_
#define TNN_SOURCE_TNN_NET_OPTIMIZER_REMOVE_LAYERS_H_

#include <string>

#include "tnn/core/common.h"
#include "tnn/core/status.h"
#include "tnn/interpreter/net_resource.h"
#include "tnn/interpreter/net_structure.h"
#include "tnn/optimizer/net_optimizer.h"

namespace TNN_NS {

namespace optimizer {

    //@brief net optimize: fuse relu and relu6 to convolution
    class NetOptimizerRemoveLayers : public NetOptimizer {
    public:
        virtual std::string Strategy();
        virtual bool IsSupported(const NetworkConfig &net_config);
        virtual Status Optimize(NetStructure *structure, NetResource *resource);
    };

}  // namespace optimizer

}  // namespace TNN_NS

#endif  // TNN_SOURCE_TNN_NET_OPTIMIZER_REMOVE_LAYERS_H_
