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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NetworkExecutionUtils.hpp"
#include <Filesystem.hpp>
#include <InferenceTest.hpp>
#include <ResolveType.hpp>
#if defined(ARMNN_SERIALIZER)
#include "armnnDeserializer/IDeserializer.hpp"
#endif
#if defined(ARMNN_CAFFE_PARSER)
#include "armnnCaffeParser/ICaffeParser.hpp"
#endif
#if defined(ARMNN_TF_PARSER)
#include "armnnTfParser/ITfParser.hpp"
#endif
#if defined(ARMNN_TF_LITE_PARSER)
#include "armnnTfLiteParser/ITfLiteParser.hpp"
#endif
#if defined(ARMNN_ONNX_PARSER)
#include "armnnOnnxParser/IOnnxParser.hpp"
#endif
template<armnn::DataType NonQuantizedType>
auto ParseDataArray(std::istream& stream);
template<armnn::DataType QuantizedType>
auto ParseDataArray(std::istream& stream,
const float& quantizationScale,
const int32_t& quantizationOffset);
template<>
auto ParseDataArray<armnn::DataType::Float32>(std::istream& stream)
{
return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); });
}
template<>
auto ParseDataArray<armnn::DataType::Signed32>(std::istream& stream)
{
return ParseArrayImpl<int>(stream, [](const std::string& s) { return std::stoi(s); });
}
template<>
auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream)
{
return ParseArrayImpl<uint8_t>(stream,
[](const std::string& s) { return armnn::numeric_cast<uint8_t>(std::stoi(s)); });
}
template<>
auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream,
const float& quantizationScale,
const int32_t& quantizationOffset)
{
return ParseArrayImpl<uint8_t>(stream,
[&quantizationScale, &quantizationOffset](const std::string& s)
{
return armnn::numeric_cast<uint8_t>(
armnn::Quantize<uint8_t>(std::stof(s),
quantizationScale,
quantizationOffset));
});
}
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
std::vector<T> GenerateDummyTensorData(unsigned int numElements)
{
return std::vector<T>(numElements, static_cast<T>(0));
}
std::vector<unsigned int> ParseArray(std::istream& stream)
{
return ParseArrayImpl<unsigned int>(
stream,
[](const std::string& s) { return armnn::numeric_cast<unsigned int>(std::stoi(s)); });
}
std::vector<std::string> ParseStringList(const std::string& inputString, const char* delimiter)
{
std::stringstream stream(inputString);
return ParseArrayImpl<std::string>(stream, [](const std::string& s) {
return armnn::stringUtils::StringTrimCopy(s); }, delimiter);
}
TensorPrinter::TensorPrinter(const std::string& binding,
const armnn::TensorInfo& info,
const std::string& outputTensorFile,
bool dequantizeOutput)
: m_OutputBinding(binding)
, m_Scale(info.GetQuantizationScale())
, m_Offset(info.GetQuantizationOffset())
, m_OutputTensorFile(outputTensorFile)
, m_DequantizeOutput(dequantizeOutput) {}
void TensorPrinter::operator()(const std::vector<float>& values)
{
ForEachValue(values, [](float value)
{
printf("%f ", value);
});
WriteToFile(values);
}
void TensorPrinter::operator()(const std::vector<uint8_t>& values)
{
if(m_DequantizeOutput)
{
auto& scale = m_Scale;
auto& offset = m_Offset;
std::vector<float> dequantizedValues;
ForEachValue(values, [&scale, &offset, &dequantizedValues](uint8_t value)
{
auto dequantizedValue = armnn::Dequantize(value, scale, offset);
printf("%f ", dequantizedValue);
dequantizedValues.push_back(dequantizedValue);
});
WriteToFile(dequantizedValues);
}
else
{
const std::vector<int> intValues(values.begin(), values.end());
operator()(intValues);
}
}
void TensorPrinter::operator()(const std::vector<int>& values)
{
ForEachValue(values, [](int value)
{
printf("%d ", value);
});
WriteToFile(values);
}
template<typename Container, typename Delegate>
void TensorPrinter::ForEachValue(const Container& c, Delegate delegate)
{
std::cout << m_OutputBinding << ": ";
for (const auto& value : c)
{
delegate(value);
}
printf("\n");
}
template<typename T>
void TensorPrinter::WriteToFile(const std::vector<T>& values)
{
if (!m_OutputTensorFile.empty())
{
std::ofstream outputTensorFile;
outputTensorFile.open(m_OutputTensorFile, std::ofstream::out | std::ofstream::trunc);
if (outputTensorFile.is_open())
{
outputTensorFile << m_OutputBinding << ": ";
std::copy(values.begin(), values.end(), std::ostream_iterator<T>(outputTensorFile, " "));
}
else
{
ARMNN_LOG(info) << "Output Tensor File: " << m_OutputTensorFile << " could not be opened!";
}
outputTensorFile.close();
}
}
using TContainer = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>;
using QuantizationParams = std::pair<float, int32_t>;
void PopulateTensorWithData(TContainer& tensorData,
unsigned int numElements,
const std::string& dataTypeStr,
const armnn::Optional<QuantizationParams>& qParams,
const armnn::Optional<std::string>& dataFile)
{
const bool readFromFile = dataFile.has_value() && !dataFile.value().empty();
const bool quantizeData = qParams.has_value();
std::ifstream inputTensorFile;
if (readFromFile)
{
inputTensorFile = std::ifstream(dataFile.value());
}
if (dataTypeStr.compare("float") == 0)
{
if (quantizeData)
{
const float qScale = qParams.value().first;
const int qOffset = qParams.value().second;
tensorData = readFromFile ?
ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile, qScale, qOffset) :
GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements);
}
else
{
tensorData = readFromFile ?
ParseDataArray<armnn::DataType::Float32>(inputTensorFile) :
GenerateDummyTensorData<armnn::DataType::Float32>(numElements);
}
}
else if (dataTypeStr.compare("int") == 0)
{
tensorData = readFromFile ?
ParseDataArray<armnn::DataType::Signed32>(inputTensorFile) :
GenerateDummyTensorData<armnn::DataType::Signed32>(numElements);
}
else if (dataTypeStr.compare("qasymm8") == 0)
{
tensorData = readFromFile ?
ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile) :
GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements);
}
else
{
std::string errorMessage = "Unsupported tensor data type " + dataTypeStr;
ARMNN_LOG(fatal) << errorMessage;
inputTensorFile.close();
throw armnn::Exception(errorMessage);
}
inputTensorFile.close();
}
bool ValidatePath(const std::string& file, const bool expectFile)
{
if (!fs::exists(file))
{
std::cerr << "Given file path '" << file << "' does not exist" << std::endl;
return false;
}
if (!fs::is_regular_file(file) && expectFile)
{
std::cerr << "Given file path '" << file << "' is not a regular file" << std::endl;
return false;
}
return true;
}
bool ValidatePaths(const std::vector<std::string>& fileVec, const bool expectFile)
{
bool allPathsValid = true;
for (auto const& file : fileVec)
{
if(!ValidatePath(file, expectFile))
{
allPathsValid = false;
}
}
return allPathsValid;
}
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