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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 "ANeuralNetworksExecution.h"
#include "NNAPIConvert.h"
#include "util/logging.h"
const neurun::model::OperandIndex
ANeuralNetworksExecution::getInputOperandIndex(int32_t index) noexcept
{
if (index < 0)
{
// Negative index: return invalid index
return neurun::model::OperandIndex{};
}
uint32_t cast_index = static_cast<uint32_t>(index);
if (cast_index >= _execution->model().inputs.size())
{
// Return invalid index
return neurun::model::OperandIndex{};
}
neurun::model::IOIndex input_index{cast_index};
const auto operand_index = _execution->model().inputs.at(input_index);
return operand_index;
}
const neurun::model::OperandIndex
ANeuralNetworksExecution::getOutputOperandIndex(int32_t index) noexcept
{
if (index < 0)
{
// Negative index: return invalid index
return neurun::model::OperandIndex{};
}
uint32_t cast_index = static_cast<uint32_t>(index);
if (cast_index >= _execution->model().outputs.size())
{
// Return invalid index
return neurun::model::OperandIndex{};
}
neurun::model::IOIndex output_index{cast_index};
const auto operand_index = _execution->model().outputs.at(output_index);
return operand_index;
}
bool ANeuralNetworksExecution::compareDataType(const ANeuralNetworksOperandType *type,
const neurun::model::OperandIndex index) noexcept
{
try
{
const auto operand_type = _execution->model().operands.at(index).typeInfo();
const auto typeInfo = NNAPIConvert::getTypeInfo(type);
if (operand_type != typeInfo)
{
// Data type mismatch
return false;
}
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << std::endl;
return false;
}
return true;
}
bool ANeuralNetworksExecution::compareShape(const ANeuralNetworksOperandType *type,
const neurun::model::OperandIndex index) noexcept
{
// Passed shape should be specified
if (haveUnspecifiedDims(index))
{
return false;
}
const auto &operand_shape = _execution->model().operands.at(index).shape();
const auto &shape_from_type = NNAPIConvert::getShape(type);
return operand_shape == shape_from_type;
}
bool ANeuralNetworksExecution::haveUnspecifiedDims(const neurun::model::OperandIndex index) noexcept
{
const auto operand_shape = _execution->model().operands.at(index).shape();
return operand_shape.num_elements() == 0;
}
size_t ANeuralNetworksExecution::getOperandSize(const neurun::model::OperandIndex index) noexcept
{
try
{
return _execution->model().operands.at(index).operandSize();
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << std::endl;
return 0;
}
}
bool ANeuralNetworksExecution::setInput(uint32_t index, const ANeuralNetworksOperandType *type,
const void *buffer, size_t length) noexcept
{
try
{
neurun::model::IOIndex input_index{index};
const auto operand_index = getInputOperandIndex(index);
const auto type_info = _execution->model().operands.at(operand_index).typeInfo();
const auto shape = ((type != nullptr) ? NNAPIConvert::getShape(type)
: _execution->model().operands.at(operand_index).shape());
_execution->setInput(input_index, type_info, shape, buffer, length);
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << std::endl;
return false;
}
return true;
}
bool ANeuralNetworksExecution::setOutput(uint32_t index, const ANeuralNetworksOperandType *type,
void *buffer, size_t length) noexcept
{
try
{
neurun::model::IOIndex output_index{index};
const auto operand_index = getOutputOperandIndex(index);
const auto type_info = _execution->model().operands.at(operand_index).typeInfo();
const auto shape = ((type != nullptr) ? NNAPIConvert::getShape(type)
: _execution->model().operands.at(operand_index).shape());
_execution->setOutput(output_index, type_info, shape, buffer, length);
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << std::endl;
return false;
}
return true;
}
bool ANeuralNetworksExecution::startExecute(void) noexcept
{
try
{
_execution->startExecute();
}
catch (const std::exception &e)
{
VERBOSE(EXCEPTION) << e.what() << std::endl;
return false;
}
return true;
}
const std::shared_ptr<neurun::exec::Execution> ANeuralNetworksExecution::instance(void) noexcept
{
return _execution;
}
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