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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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 NNCC_FUSE_ARITHMETIC_OPS_H
#define NNCC_FUSE_ARITHMETIC_OPS_H
#include "pass/Pass.h"
#include "pass/PassData.h"
namespace nnc
{
/**
* @brief Main purpose of this pass - is to fuse 'Conv->BatchNorm' into 'Conv'
* Currently 'BatchNorm' split by NNC frontends into 'Scale->Scale->BiasAdd'
* This optimization performs in two steps (repeated while graph changing):
* 1. Fuse two successive operations with constant weights into one (ex: 'Scale->Scale' becomes
* 'Scale')
* 2. Sink 'BiasAdd' through 'Scale' (so 'Conv->BiasAdd->Scale' becomes 'Conv->Scale->BiasAdd')
*/
class FuseArithmeticOps : public Pass
{
public:
PassData run(PassData data) override;
std::string getName() override { return "FuseArithmeticOps"; }
};
} // namespace nnc
#endif // NNCC_FUSE_ARITHMETIC_OPS_H
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