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/*
* Copyright (c) 2023 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 "TrainableExecutors.h"
#include "../../backend/builtin/IOTensor.h"
#include <misc/polymorphic_downcast.h>
namespace onert
{
namespace exec
{
namespace train
{
void TrainableExecutors::emplace(const ir::ModelIndex &, const ir::SubgraphIndex &subg_index,
std::unique_ptr<IExecutor> exec)
{
std::unique_ptr<TrainableExecutor> t_exec{
nnfw::misc::polymorphic_downcast<TrainableExecutor *>(exec.release())};
_executors.emplace(subg_index, std::move(t_exec));
}
TrainableExecutor *TrainableExecutors::at(const ir::ModelIndex &,
const ir::SubgraphIndex &subg_index) const
{
return _executors.at(subg_index).get();
}
uint32_t TrainableExecutors::inputSize() const { return entryExecutor()->getInputTensors().size(); }
uint32_t TrainableExecutors::outputSize() const
{
return entryExecutor()->getOutputTensors().size();
}
const ir::OperandInfo &TrainableExecutors::inputInfo(const ir::IOIndex &index) const
{
return entryExecutor()->getInputTensors().at(index.value())->orig_info();
}
const ir::OperandInfo &TrainableExecutors::outputInfo(const ir::IOIndex &index) const
{
return entryExecutor()->getOutputTensors().at(index.value())->orig_info();
}
void TrainableExecutors::execute(const IODescription &desc)
{
if (_executors.size() > 1)
throw std::runtime_error("TrainableExecutors does not support multiple executors yet");
entryExecutor()->forward(desc, false);
// TODO Support multple executors
}
void TrainableExecutors::train(const IODescription &desc, uint32_t training_step)
{
if (_executors.size() > 1)
throw std::runtime_error("TrainableExecutors does not support multiple executors yet");
entryExecutor()->forward(desc, true);
entryExecutor()->backward(desc, training_step);
// TODO Support multple executors
}
float TrainableExecutors::getLoss(const ir::IOIndex &index) const
{
if (_executors.size() > 1)
throw std::runtime_error("TrainableExecutors does not support multiple executors yet");
return entryExecutor()->getLoss(index);
}
} // namespace train
} // namespace exec
} // namespace onert
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