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.
   */
  
  #include "exec/FunctionSequence.h"
  
  #include "ir/Operation.h"
  #include "backend/IDynamicTensorManager.h"
  #include "backend/ITensorRegistry.h"
  
  namespace onert
  {
  namespace exec
  {
  
  void FunctionSequence::run()
  {
    if (_enable_dynamic_shape_inferer)
    {
      if (_dynamic_tensor_ctx->op_seq->size() != _functions.size())
        throw std::runtime_error("operation and functions should be mapped one by one");
  
      auto op_seq_iter = _dynamic_tensor_ctx->op_seq->begin();
      for (const auto &function : _functions)
      {
        // set shape of output and allocate memory when needed
        auto &op = _dynamic_tensor_ctx->operations->at(*op_seq_iter);
        op.accept(*_dynamic_tensor_ctx->dynamic_shape_inferer);
  
        // run kernel
        function->run();
  
        // deallocate input tensors which is no longer used
        _dynamic_tensor_ctx->dynamic_tensor_manager->deallocInput(*op_seq_iter);
  
        op_seq_iter++;
      }
    }
    else
    {
      for (const auto &function : _functions)
      {
        function->run();
      }
    }
  }
  
  void FunctionSequence::prepare()
  {
    for (const auto &function : _functions)
    {
      function->prepare();
    }
  }
  
  void FunctionSequence::append(std::unique_ptr<IFunction> &&function)
  {
    _functions.push_back(std::move(function));
  }
  
  void FunctionSequence::iterate(const std::function<void(IFunction &)> &fn)
  {
    for (const auto &func : _functions)
    {
      fn(*func);
    }
  }
  
  // TODO Remove this
  void FunctionSequenceForDynamicBackend::run()
  {
    if (_op_seq.size() != _functions.size())
      throw std::runtime_error("operation and functions should be mapped one by one");
  
    auto op_seq_iter = _op_seq.begin();
    for (const auto &function : _functions)
    {
      // set shape of output and allocate memory when needed
      auto &op = _operations_ctx.at(*op_seq_iter);
      op.accept(*_dyn_shape_inferer);
  
      // run kernel
      function->run();
  
      // deallocate input tensors which is no longer used
      _dyn_tensor_manager->deallocInput(*op_seq_iter);
  
      op_seq_iter++;
    }
  }
  
  } // namespace exec
  } // namespace onert
  