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/*
 * 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 "TensorManager.h"

namespace neurun
{
namespace backend
{
namespace srcn
{

TensorManager::TensorManager() : _const_mgr{new MemoryManager()}, _nonconst_mgr{new MemoryManager()}
{
  // DO NOTHING
}

void TensorManager::allocateConsts(void) { _const_mgr->allocate(); }

void TensorManager::allocateNonconsts(void) { _nonconst_mgr->allocate(); }

void TensorManager::deallocateConsts(void) { _const_mgr->deallocate(); }

void TensorManager::deallocateNonconsts(void) { _nonconst_mgr->deallocate(); }

void TensorManager::buildTensor(const model::OperandIndex &ind,
                                const model::OperandInfo &tensor_info, bool as_const)
{
  assert(_ind_to_mgr.find(ind) == _ind_to_mgr.end());
  if (as_const)
  {
    _const_mgr->buildTensor(ind, tensor_info);
    _ind_to_mgr.insert({ind, *_const_mgr});
  }
  else
  {
    _nonconst_mgr->buildTensor(ind, tensor_info);
    _ind_to_mgr.insert({ind, *_nonconst_mgr});
  }
}

void TensorManager::claimPlan(const model::OperandIndex &ind, uint32_t size)
{
  assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
  _ind_to_mgr.at(ind).claimPlan(ind, size);
}

void TensorManager::releasePlan(const model::OperandIndex &ind)
{
  assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
  _ind_to_mgr.at(ind).releasePlan(ind);
}

std::shared_ptr<backend::operand::IObject> TensorManager::wrapTensor(const model::OperandIndex &ind)
{
  assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
  return _ind_to_mgr.at(ind).wrapTensor(ind);
}

std::shared_ptr<operand::Tensor> TensorManager::at(const ::neurun::model::OperandIndex &ind)
{
  assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
  return _ind_to_mgr.at(ind).tensors().at(ind);
}

model::OperandIndexMap<std::shared_ptr<operand::Tensor>> &TensorManager::constTensors(void)
{
  return _const_mgr->tensors();
}

model::OperandIndexMap<std::shared_ptr<operand::Tensor>> &TensorManager::nonconstTensors(void)
{
  return _nonconst_mgr->tensors();
}

void TensorManager::iterate(const std::function<void(const model::OperandIndex &)> &fn)
{
  for (auto it : _nonconst_mgr->tensors())
    fn(it.first);

  for (auto it : _const_mgr->tensors())
    fn(it.first);
}

} // namespace srcn
} // namespace backend
} // namespace neurun