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/*
* Copyright (c) 2018 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 "model.h"
#include "graph/Graph.h"
#include "util/logging.h"
#include "util/NNAPIConvert.h"
//
// ANeuralNetworksModel
//
ANeuralNetworksModel::ANeuralNetworksModel() noexcept
: _model{new neurun::graph::Graph}, _optional_operands{}
{
// DO NOTHING
}
bool ANeuralNetworksModel::addOperand(const ANeuralNetworksOperandType *type) noexcept
{
try
{
::neurun::model::operand::Shape shape(type->dimensionCount);
auto typeInfo = neurun::util::getTypeInfo(type);
for (uint32_t axis = 0; axis < type->dimensionCount; ++axis)
{
shape.dim(axis) = type->dimensions[axis];
}
_model->addOperand(shape, typeInfo);
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << std::endl;
return false;
}
return true;
}
bool ANeuralNetworksModel::finish() noexcept
{
try
{
fillOptionalOperand();
_model->finishBuilding();
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << '\n';
return false;
}
return true;
}
void ANeuralNetworksModel::fillOptionalOperand(void)
{
_model->operations().iterate(
[&](const ::neurun::model::operation::Index &, ::neurun::model::operation::Node &node) {
for (auto input : node.getInputs())
{
// TODO fill default value for optional operands
if (_optional_operands.find(input) != _optional_operands.end())
{
throw std::runtime_error{"Optional operand is not supported yet"};
}
}
});
}
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