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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 "TensorBuilder.h"
#include <cassert>
#include "util/logging.h"
namespace neurun
{
namespace backend
{
namespace srcn
{
TensorBuilder::TensorBuilder() : _tensor_mgr{new TensorManager()}
{
// DO NOTHING
}
void TensorBuilder::registerTensorInfo(const model::OperandIndex &ind,
const model::OperandInfo &info,
model::Layout /*frontend_layout*/,
model::Layout /*backend_layout*/, bool as_const)
{
_tensor_info_map.emplace(ind, info);
// TODO set the layout
if (as_const)
_constants.append(ind);
}
void TensorBuilder::registerSubTensorInfo(const model::OperandIndex &,
const compiler::SubTensorInfo &)
{
// Not supported yet
assert(false);
}
void TensorBuilder::notifyFirstUse(const model::OperandIndex &ind)
{
assert(_tensor_info_map.find(ind) != _tensor_info_map.end());
const auto &info = _tensor_info_map.at(ind);
const auto size = info.total_size();
_tensor_mgr->buildTensor(ind, info, _constants.contains(ind));
_tensor_mgr->claimPlan(ind, size);
}
void TensorBuilder::notifyLastUse(const model::OperandIndex &ind) { _tensor_mgr->releasePlan(ind); }
void TensorBuilder::prepare(void)
{
_tensor_mgr->allocateConsts();
_tensor_mgr->allocateNonconsts();
}
// TODO Remove this
void TensorBuilder::allocate(void)
{
// NOTE For now nothing to do. Allocation is done in prepare stage, which is not appropriate
// This is because SRCN kernels require `ITensor`s to be allocated before Kernel Generation.
}
void TensorBuilder::allocateConsts()
{
// NOTE For now nothing to do. Allocation is done in prepare stage, which is not appropriate
// This is because SRCN kernels require `ITensor`s to be allocated before Kernel Generation.
}
void TensorBuilder::allocateNonconsts()
{
// NOTE For now nothing to do. Allocation is done in prepare stage, which is not appropriate
// This is because SRCN kernels require `ITensor`s to be allocated before Kernel Generation.
}
std::shared_ptr<::neurun::backend::operand::ITensor>
TensorBuilder::tensorAt(const model::OperandIndex &ind)
{
return _tensor_mgr->at(ind);
}
std::shared_ptr<backend::operand::IObject> TensorBuilder::wrapTensor(const model::OperandIndex &ind)
{
return _tensor_mgr->wrapTensor(ind);
}
void TensorBuilder::iterate(const IterateFunction &fn) { _tensor_mgr->iterate(fn); }
std::shared_ptr<operand::Tensor> TensorBuilder::at(const ::neurun::model::OperandIndex &ind)
{
return _tensor_mgr->at(ind);
}
std::unique_ptr<ITensorManager> TensorBuilder::releaseTensorManager(void)
{
return std::move(_tensor_mgr);
}
} // namespace srcn
} // namespace backend
} // namespace neurun
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