KernelGenerator.h

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/*
 * Copyright (c) 2020 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_XNNPACK_KERNEL_GENERATOR_H__
#define __ONERT_BACKEND_XNNPACK_KERNEL_GENERATOR_H__
 
#include "ExternalContext.h"
#include "TensorBuilder.h"
#include "backend/basic/TensorRegistry.h"
#include "Tensor.h"
 
#include <backend/CustomKernelBuilder.h>
#include <backend/basic/KernelGeneratorBase.h>
#include <ir/Operands.h>
#include <ir/Operations.h>
 
namespace onert
{
namespace backend
{
namespace xnnpack
{
 
class KernelGenerator : public basic::KernelGeneratorBase
{
public:
  KernelGenerator(const ir::Graph &graph, const std::shared_ptr<TensorBuilder> &tensor_builder,
                  const std::shared_ptr<basic::TensorRegistry> &tensor_reg,
                  const std::shared_ptr<custom::IKernelBuilder> &kernel_builder,
                  const std::shared_ptr<ExternalContext> &external_context);
 
  std::unique_ptr<exec::FunctionSequence> generate(ir::OperationIndex ind) override;
 
private:
  void visit(const ir::operation::Conv2D &) override;
  void visit(const ir::operation::DepthwiseConv2D &) override;
  void visit(const ir::operation::FullyConnected &) override;
 
private:
  const ir::Operands &_ctx;
  const ir::Operations &_operations_ctx;
  std::shared_ptr<TensorBuilder> _tensor_builder;
  std::shared_ptr<basic::TensorRegistry> _tensor_reg;
  std::shared_ptr<backend::custom::IKernelBuilder> _kernel_builder;
  const std::shared_ptr<ExternalContext> _external_context;
};
 
} // namespace xnnpack
} // namespace backend
} // namespace onert
 
#endif // __ONERT_BACKEND_XNNPACK_KERNEL_GENERATOR_H__