Files
openvino/samples/cpp/benchmark_app/statistics_report.hpp
18582088138 152511daa8 Benchmark sort opt (#12350)
* Benchmark_app python and c/c++ script add op profiling feature

* Fix compile bug about benchmark c/c++ op profiling

* Fix Compile Bug

* Fix issue in PR#12350 : 1. report_type info update; 2. priority of -pc and -pcsort; 3.align format between c++ and python; 4.check 'proportion' for 0 and print N/A; 5.detect the confusing print info

* Fix 8/17 review suggestion

* Fix 8/23 suggestion

* Fix the clang-format issue

* Fix the win-cc issue

* Fix win-cc issue about conversion from 'double' to 'float', possible loss of data

* Push PR by ODT group account

Co-authored-by: Chen Peter <peter.chen@intel.com>
Co-authored-by: Fiona Zhao <fiona.zhao@intel.com>
2022-10-19 22:59:12 +08:00

181 lines
5.6 KiB
C++

// Copyright (C) 2018-2022 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#pragma once
#include <map>
#include <nlohmann/json.hpp>
#include <string>
#include <utility>
#include <vector>
// clang-format off
#include "samples/common.hpp"
#include "samples/csv_dumper.hpp"
#include "samples/slog.hpp"
#include "utils.hpp"
// clang-format on
// @brief statistics reports types
static constexpr char noCntReport[] = "no_counters";
static constexpr char averageCntReport[] = "average_counters";
static constexpr char detailedCntReport[] = "detailed_counters";
static constexpr char sortDetailedCntReport[] = "sort_detailed_counters";
/// @brief Responsible for calculating different latency metrics
class LatencyMetrics {
public:
LatencyMetrics() {}
LatencyMetrics(const std::vector<double>& latencies,
const std::string& data_shape = "",
size_t percentile_boundary = 50)
: data_shape(data_shape),
percentile_boundary(percentile_boundary) {
fill_data(latencies, percentile_boundary);
}
void write_to_stream(std::ostream& stream) const;
void write_to_slog() const;
const nlohmann::json to_json() const;
public:
double median_or_percentile = 0;
double avg = 0;
double min = 0;
double max = 0;
std::string data_shape;
private:
void fill_data(std::vector<double> latencies, size_t percentile_boundary);
size_t percentile_boundary = 50;
};
class StatisticsVariant {
public:
enum Type { INT, DOUBLE, STRING, ULONGLONG, METRICS };
StatisticsVariant(std::string csv_name, std::string json_name, int v)
: csv_name(csv_name),
json_name(json_name),
i_val(v),
type(INT) {}
StatisticsVariant(std::string csv_name, std::string json_name, double v)
: csv_name(csv_name),
json_name(json_name),
d_val(v),
type(DOUBLE) {}
StatisticsVariant(std::string csv_name, std::string json_name, const std::string& v)
: csv_name(csv_name),
json_name(json_name),
s_val(v),
type(STRING) {}
StatisticsVariant(std::string csv_name, std::string json_name, unsigned long long v)
: csv_name(csv_name),
json_name(json_name),
ull_val(v),
type(ULONGLONG) {}
StatisticsVariant(std::string csv_name, std::string json_name, uint32_t v)
: csv_name(csv_name),
json_name(json_name),
ull_val(v),
type(ULONGLONG) {}
StatisticsVariant(std::string csv_name, std::string json_name, unsigned long v)
: csv_name(csv_name),
json_name(json_name),
ull_val(v),
type(ULONGLONG) {}
StatisticsVariant(std::string csv_name, std::string json_name, const LatencyMetrics& v)
: csv_name(csv_name),
json_name(json_name),
metrics_val(v),
type(METRICS) {}
~StatisticsVariant() {}
std::string csv_name;
std::string json_name;
int i_val = 0;
double d_val = 0;
unsigned long long ull_val = 0;
std::string s_val;
LatencyMetrics metrics_val;
Type type;
std::string to_string() const;
void write_to_json(nlohmann::json& js) const;
};
/// @brief Responsible for collecting of statistics and dumping to .csv file
class StatisticsReport {
public:
typedef std::vector<ov::ProfilingInfo> PerformanceCounters;
typedef std::vector<StatisticsVariant> Parameters;
struct Config {
std::string report_type;
std::string report_folder;
};
enum class Category { COMMAND_LINE_PARAMETERS, RUNTIME_CONFIG, EXECUTION_RESULTS, EXECUTION_RESULTS_GROUPPED };
explicit StatisticsReport(Config config) : _config(std::move(config)) {
_separator =
#if defined _WIN32 || defined __CYGWIN__
# if defined UNICODE
L"\\";
# else
"\\";
# endif
#else
"/";
#endif
if (_config.report_folder.empty())
_separator = "";
}
void add_parameters(const Category& category, const Parameters& parameters);
virtual void dump();
virtual void dump_performance_counters(const std::vector<PerformanceCounters>& perfCounts);
private:
void dump_performance_counters_request(CsvDumper& dumper, const PerformanceCounters& perfCounts);
void dump_sort_performance_counters_request(CsvDumper& dumper, const PerformanceCounters& perfCounts);
static bool sort_profiling_descend(const ov::ProfilingInfo& profiling1, const ov::ProfilingInfo& profiling2) {
return profiling1.real_time > profiling2.real_time;
}
protected:
// configuration of current benchmark execution
const Config _config;
// parameters
std::map<Category, Parameters> _parameters;
// csv separator
std::string _separator;
StatisticsReport::PerformanceCounters get_average_performance_counters(
const std::vector<PerformanceCounters>& perfCounts);
};
class StatisticsReportJSON : public StatisticsReport {
public:
explicit StatisticsReportJSON(Config config) : StatisticsReport(std::move(config)) {}
void dump() override;
void dump_performance_counters(const std::vector<PerformanceCounters>& perfCounts) override;
private:
void dump_parameters(nlohmann::json& js, const StatisticsReport::Parameters& parameters);
const nlohmann::json perf_counters_to_json(const StatisticsReport::PerformanceCounters& perfCounts);
const nlohmann::json sort_perf_counters_to_json(const StatisticsReport::PerformanceCounters& perfCounts);
static bool sort_profiling_descend(const ov::ProfilingInfo& profiling1, const ov::ProfilingInfo& profiling2) {
return profiling1.real_time > profiling2.real_time;
}
};