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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"
#include "cpp14/memory.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::setOperandValue(uint32_t index, const void *buffer, size_t length,
bool optional, bool copy) noexcept
{
const neurun::model::operand::Index ind{index};
try
{
_model->operands().at(ind).usage(neurun::model::operand::Usage::CONSTANT);
// Remain operands.at(ind).data()->base() as nullptr for optional operand
// This will be filled when model finished
if (optional)
{
setOptionalOperand(ind);
}
using ::neurun::model::operand::CachedData;
using ::neurun::model::operand::ExternalData;
if (copy)
{
_model->setOperandValue(ind, nnfw::cpp14::make_unique<CachedData>(
reinterpret_cast<const uint8_t *>(buffer), length));
}
else
{
_model->setOperandValue(ind, nnfw::cpp14::make_unique<ExternalData>(
reinterpret_cast<const uint8_t *>(buffer), length));
}
}
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;
}
bool ANeuralNetworksModel::isFinished() noexcept { return !_model->isBuildingPhase(); }
bool ANeuralNetworksModel::isExistOperand(uint32_t index) noexcept
{
return _model->operands().exist(neurun::model::operand::Index{index});
}
size_t ANeuralNetworksModel::operandSize(uint32_t index) noexcept
{
return _model->operands().at(neurun::model::operand::Index{index}).operandSize();
}
bool ANeuralNetworksModel::isUsageSet(uint32_t index) noexcept
{
return _model->operands().at(neurun::model::operand::Index{index}).usageIsDefined();
}
void ANeuralNetworksModel::setOptionalOperand(const neurun::model::operand::Index idx)
{
_optional_operands.insert(idx);
}
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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