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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 __PASS_FUSE_RELU_PASS_H__
#define __PASS_FUSE_RELU_PASS_H__
#include <logo/Pass.h>
namespace exo
{
/**
* @brief Class to fuse TFLRelu or TFLRelu6 into the TensorFlow Lite ops below:
*
* ADD, AVERAGE_POOL_2D, CONCATENATION, CONV_2D, DEPTHWISE_CONV_2D,
* FULLY_CONNECTED, L2_NORMALIZATION, L2_POOL_2D, MAX_POOL_2D, MUL
*/
struct FuseReluPass final : public logo::Pass
{
const char *name(void) const final { return "exo::FuseReluPass"; }
bool run(loco::Graph *g) final;
};
} // namespace exo
#endif // __PASS_FUSE_RELU_PASS_H__
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