KernelGenerator.h

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/*
 * Copyright (c) 2023 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 __ONERT_BACKEND_TRAIN_KERNEL_GENERATOR_H__
#define __ONERT_BACKEND_TRAIN_KERNEL_GENERATOR_H__
 
#include "ExternalContext.h"
#include "backend/basic/TensorRegistry.h"
#include "TensorBuilder.h"
#include "Tensor.h"
 
#include <backend/train/KernelGeneratorBase.h>
#include <exec/train/IGradientApplier.h>
#include <exec/train/optimizer/Optimizer.h>
#include <ir/Operands.h>
#include <ir/Operations.h>
 
namespace onert::backend::train
{
 
// TODO Unify TensorRegistry
class KernelGenerator : public backend::train::KernelGeneratorBase
{
public:
  KernelGenerator(const ir::train::TrainableGraph &tgraph,
                  const std::shared_ptr<TensorRegistry> &tensor_reg,
                  const std::shared_ptr<ExternalContext> &external_context,
                  const exec::train::optimizer::Optimizer *optimizer);
 
  std::unique_ptr<exec::train::TrainableFnSequence> generate(ir::OperationIndex op_ind) override;
 
  void visit(const ir::train::operation::BinaryArithmetic &) override;
  void visit(const ir::train::operation::Conv2D &) override;
  void visit(const ir::train::operation::DepthwiseConv2D &) override;
  void visit(const ir::train::operation::ElementwiseActivation &) override;
  void visit(const ir::train::operation::FullyConnected &) override;
  void visit(const ir::train::operation::Loss &) override;
  void visit(const ir::train::operation::Pad &) override;
  void visit(const ir::train::operation::Pool2D &) override;
  void visit(const ir::train::operation::Reduce &node) override;
  void visit(const ir::train::operation::Reshape &node) override;
  void visit(const ir::train::operation::Softmax &node) override;
 
private:
  IPortableTensor *getBackPropIn(const ir::IOperation &node, const ir::OperandIndex &operand_index);
  IPortableTensor *getBackPropOut(const ir::OperandIndex &index);
 
private:
  std::shared_ptr<TensorRegistry> _tensor_reg;
  const std::shared_ptr<ExternalContext> _external_context;
  const exec::train::optimizer::Optimizer *_optimizer;
  std::vector<std::unique_ptr<exec::train::IGradientApplier>> _update_funcs;
  std::unordered_map<const ir::IOperation *, ir::OperationIndex> _node_to_idx;
};
class KernelGenerator : public backend::train::KernelGeneratorBase {…};
 
} // namespace onert::backend::train
 
#endif // __ONERT_BACKEND_TRAIN_KERNEL_GENERATOR_H__