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/*
* Copyright (c) 2018 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 __NEURUN_GRAPH_PASS_PERMUTATION_ELIMINATION_PASS_H__
#define __NEURUN_GRAPH_PASS_PERMUTATION_ELIMINATION_PASS_H__
#include "OperandPass.h"
#include "model/operand/Object.h"
#include "model/operand/IndexSet.h"
namespace neurun
{
namespace graph
{
namespace pass
{
class PermutationEliminationPass : public OperandPass
{
public:
using OperandPass::OperandPass;
public:
virtual std::string id() override { return "PermutationEliminationPass"; }
virtual void callback(const model::operand::Index &index, model::operand::Object &object);
private:
/**
* @brief Remove Permute operation that permutates input
*
* Note: This function aslo removes model's input and
* sets output of permutation as model's new input
*
* @param inp_index is the target operand index for the elimination
* @param object is the target operand object for the elimination
*
* @return
*/
void eliminateInput(const model::operand::Index &inp_index, model::operand::Object &object);
/**
* @brief Remove Permute operation that permutates output of a model
*
* Note: This function aslo removes model's output and
* sets input of permutation as model's new output
*
* @param out_index is the target operand index for the elimination
* @param object is the target operand object for the elimination
*
* @return
*/
void eliminateOutput(const model::operand::Index &out_index, model::operand::Object &object);
/**
* @brief Determine if passed operands are permute layer's input and output, that must be
* eliminated
*
* @param inp_index indexes of the input operand to operation
* @param out_index indexes of the output operand to operation
* @param is_for_model_input checking for model's input or output
*
* @return if it is permutation layer
*/
bool isPermuteLayerToEliminate(const model::operand::IndexSet &inp_indexes,
const model::operand::IndexSet &out_indexes,
bool is_for_model_input);
};
} // namespace pass
} // namespace graph
} // namespace neurun
#endif // __NEURUN_GRAPH_PASS_PERMUTATION_ELIMINATION_PASS_H__
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