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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <iomanip>
#include "armnn/Types.hpp"
#include "armnn/TypesUtils.hpp"
#include "armnn/backends/WorkloadInfo.hpp"
#include "SerializeLayerParameters.hpp"
#include "JsonUtils.hpp"
namespace armnn
{
/// ProfilingDetails class records any details associated with the operator and passes on for outputting to the user
class ProfilingDetails : public JsonUtils
{
public:
/// Constructor
ProfilingDetails() : JsonUtils(m_ProfilingDetails), m_DetailsExist(false)
{}
/// Destructor
~ProfilingDetails() noexcept
{}
/// Add to the ProfilingDetails
template<typename DescriptorType>
void AddDetailsToString(const std::string& workloadName,
const DescriptorType& desc,
const WorkloadInfo& infos,
const profiling::ProfilingGuid guid)
{
m_ProfilingDetails << std::quoted("Name") << ": " << std::quoted(workloadName) << " ";
PrintHeader();
PrintTabs();
m_ProfilingDetails << std::quoted("GUID") << ": " << std::quoted(std::to_string(guid));
PrintSeparator();
PrintNewLine();
// Print tensor infos and related data types
PrintInfos(infos.m_InputTensorInfos, "Input");
PrintInfos(infos.m_OutputTensorInfos, "Output");
if ( infos.m_BiasTensorInfo.has_value())
{
PrintInfo(infos.m_BiasTensorInfo.value(), "Bias");
}
if ( infos.m_BiasTensorInfo.has_value())
{
PrintInfo(infos.m_WeightsTensorInfo.value(), "Weights");
}
if ( infos.m_ConvolutionMethod.has_value())
{
PrintTabs();
m_ProfilingDetails << std::quoted("Convolution Method") << ": "
<< std::quoted(infos.m_ConvolutionMethod.value());
PrintSeparator();
PrintNewLine();
}
ParameterStringifyFunction extractParams = [this](const std::string& name, const std::string& value) {
PrintTabs();
m_ProfilingDetails << std::quoted(name) << " : " << std::quoted(value);
if (name != "DataLayout") PrintSeparator();
PrintNewLine();
};
StringifyLayerParameters<DescriptorType>::Serialize(extractParams, desc);
PrintFooter();
PrintSeparator();
PrintNewLine();
m_DetailsExist = true;
}
/// Get the ProfilingDetails
/// \return the ProfilingDetails
std::string GetProfilingDetails() const
{
return m_ProfilingDetails.str();
}
bool DetailsExist()
{
return m_DetailsExist;
}
private:
// Print tensor infos and related data types
void PrintInfo(const TensorInfo& info, const std::string& ioString)
{
const std::vector<TensorInfo> infoVect{ info };
PrintInfos(infoVect, ioString);
}
void PrintInfos(const std::vector<TensorInfo>& infos, const std::string& ioString)
{
for ( size_t i = 0; i < infos.size(); i++ )
{
auto shape = infos[i].GetShape();
PrintTabs();
m_ProfilingDetails << std::quoted(ioString + " " + std::to_string(i)) << ": ";
PrintHeader();
PrintTabs();
// Shape
m_ProfilingDetails << std::quoted("Shape") << ": \"[";
for ( unsigned int dim = 0; dim < shape.GetNumDimensions(); dim++ )
{
shape.GetNumDimensions() == dim + 1 ?
m_ProfilingDetails << shape[dim] << "]\"" : // true
m_ProfilingDetails << shape[dim] << ","; // false
}
PrintSeparator();
PrintNewLine();
// Data Type
PrintTabs();
m_ProfilingDetails << std::quoted("DataType") << ": "
<< std::quoted(GetDataTypeName(infos[i].GetDataType()));
PrintSeparator();
PrintNewLine();
// Number of Dimensions
PrintTabs();
m_ProfilingDetails << std::quoted("Num Dims") << ": "
<< std::quoted(std::to_string(shape.GetNumDimensions()));
// Close out the scope
PrintNewLine();
PrintFooter();
PrintSeparator();
PrintNewLine();
}
}
/// Stores ProfilingDetails
std::ostringstream m_ProfilingDetails;
bool m_DetailsExist;
};
} // namespace armnn
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