text: /*
   * 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 __ONERT_BACKEND_ACL_NEON_BACKEND_H__
  #define __ONERT_BACKEND_ACL_NEON_BACKEND_H__
  
  #include <memory>
  #include <backend/Backend.h>
  #include <ir/Operands.h>
  
  #include "Config.h"
  #include "ConstantInitializer.h"
  #include "KernelGenerator.h"
  #include "TensorManager.h"
  #include "Optimizer.h"
  
  namespace onert
  {
  namespace backend
  {
  namespace acl_neon
  {
  
  class Backend : public ::onert::backend::Backend
  {
  public:
    Backend() : _config{std::make_shared<Config>()} {}
  
    std::shared_ptr<IConfig> config() const override { return _config; }
  
    std::unique_ptr<BackendContext> newContext(const ir::Graph &graph,
                                               const std::shared_ptr<custom::IKernelBuilder> &,
                                               bool is_linear_executor) const override
    {
      const auto &operands = graph.operands();
      const auto &operations = graph.operations();
      auto context = std::make_unique<BackendContext>(this, &graph);
      auto tm = createTensorManager(is_linear_executor);
      auto tr = std::make_shared<acl_common::AclTensorRegistry<TensorManager>>(tm);
      auto tb = std::make_shared<TensorBuilder>(operands, tm, tr);
      context->tensor_registry = tr;
      context->tensor_builder = tb;
      context->constant_initializer = std::make_shared<ConstantInitializer>(operands, tr);
      context->kernel_gen = std::make_shared<KernelGenerator>(operands, operations, tb, tr);
      context->tensor_register = nullptr;
      context->optimizer = std::make_shared<Optimizer>(context.get());
      return context;
    }
  
  private:
    std::shared_ptr<IConfig> _config;
  };
  
  } // namespace acl_neon
  } // namespace backend
  } // namespace onert
  
  #endif // __ONERT_BACKEND_ACL_NEON_BACKEND_H__
  