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// Copyright (C) 2018-2023 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
// Description: This file defines and implements functions to calculate top1 and top5 scores.
#pragma once
#include <iostream>
#include <string>
#include <vector>
#include <utility>
class TopResultsAnalyser {
public:
static bool get_top_results(const std::string groundtruth_loc, const std::string results_loc, uint32_t batchSize) {
// This function loads the output results from a file,
// The dla benchmark currently uses the get_top_results(string, vector<float>, uint)
// This function is kept as it can be used to assess accuracy post runtime,
// although it seems awfully similar to the other version of get_top_results().
const std::string accuracy_results_loc = "accuracy_report.txt";
std::ofstream accuracy_file(accuracy_results_loc);
if (!accuracy_file.is_open()) {
throw std::invalid_argument("Unable to open accuracy file.");
}
std::ifstream groundtruth_file(groundtruth_loc);
int groundtruth_lineno = 0;
if (!groundtruth_file.is_open()) {
throw std::invalid_argument("Unable to open groundtruth file.");
}
std::ifstream results_file(results_loc);
if (!results_file.is_open()) {
throw std::invalid_argument("Unable to open result file.");
}
std::string results_line;
std::vector<float> results;
while (std::getline(results_file, results_line)) {
const float result = std::stof(results_line);
results.push_back(result);
}
if (results.size() % batchSize != 0) {
std::cout << "Results size = " << results.size() << " Batch size = " << batchSize << std::endl;
throw std::invalid_argument("Results size is not a multiple of batch size");
}
typedef std::pair<uint64_t, float> CatProbPair;
const uint64_t img_output_size = results.size() / batchSize;
uint32_t top1_correct_guesses = 0;
uint32_t top5_correct_guesses = 0;
const auto top_n = fmin(5, img_output_size);
for (uint32_t img = 0; img < batchSize; img++) {
accuracy_file << "image " << img << " top 5:" << std::endl;
const auto start_addr = img_output_size * img;
std::vector<CatProbPair> top5;
for (int i = 0; i < top_n; i++) {
top5.push_back(std::make_pair(i, results[start_addr + i]));
}
for (uint64_t i = 5; i < img_output_size; i++) {
const auto e = results[start_addr + i];
auto min_ele = &top5.at(0);
for (size_t j = 1; j < top5.size(); j++) {
if (top5.at(j).second < min_ele->second) {
min_ele = &top5.at(j);
}
}
if (e > min_ele->second) {
*min_ele = std::make_pair(i, e);
}
}
// sort descending
std::sort(
top5.begin(), top5.end(), [](const CatProbPair& a, const CatProbPair& b) { return a.second > b.second; });
for (const auto& pair : top5) {
accuracy_file << pair.first << " : " << pair.second << std::endl;
}
std::string line;
std::getline(groundtruth_file, line);
++groundtruth_lineno;
uint64_t truth;
try {
truth = std::stoi(line);
} catch (const std::invalid_argument& ia) {
THROW_IE_EXCEPTION << "Unable to parse line " << groundtruth_lineno << " "
<< "of the ground truth file " << groundtruth_loc;
}
accuracy_file << truth << " : truth" << std::endl;
top1_correct_guesses += (top5.at(0).first == truth);
uint64_t i = 1;
for (const auto& guess : top5) {
if (guess.first == truth && i < img_output_size) {
top5_correct_guesses += 1;
break;
}
i += 1;
}
}
const auto top_n_string = [&](std::ostream& stream, const double correct_guesses, const uint32_t N) {
stream << "top" << N << " accuracy: " << (correct_guesses * 100.0) / (batchSize) << " %" << std::endl;
};
accuracy_file << "====================" << std::endl;
top_n_string(accuracy_file, top1_correct_guesses, 1);
top_n_string(std::cout, top1_correct_guesses, 1);
if (2 < img_output_size && img_output_size < 6) {
top_n_string(accuracy_file, top5_correct_guesses, img_output_size - 1);
top_n_string(std::cout, top5_correct_guesses, img_output_size - 1);
} else if (6 <= img_output_size) {
top_n_string(accuracy_file, top5_correct_guesses, 5);
top_n_string(std::cout, top5_correct_guesses, 5);
}
return true;
}
static bool get_top_results(const std::string groundtruth_loc, std::vector<float> results, uint32_t batchSize) {
// This function takes the output results directly from runtime in a vector
// The dla benchmark currently uses this version of get_top_results
const std::string accuracy_results_loc = "accuracy_report.txt";
std::ofstream accuracy_file(accuracy_results_loc);
if (!accuracy_file.is_open()) {
throw std::invalid_argument("Unable to open accuracy file.");
}
std::ifstream groundtruth_file(groundtruth_loc);
int groundtruth_lineno = 0;
if (!groundtruth_file.is_open()) {
throw std::invalid_argument("Unable to open groundtruth file.");
}
if (results.size() % batchSize != 0) {
std::cout << "Results size = " << results.size() << " Batch size = " << batchSize << std::endl;
throw std::invalid_argument("Results size is not a multiple of batch size");
}
typedef std::pair<int, float> CatProbPair;
const int img_output_size = results.size() / batchSize;
uint32_t top1_correct_guesses = 0;
uint32_t top5_correct_guesses = 0;
const auto top_n = fmin(5, img_output_size);
for (uint32_t img = 0; img < batchSize; img++) {
accuracy_file << "image " << img << " top 5:" << std::endl;
const auto start_addr = img_output_size * img;
std::vector<CatProbPair> top5;
for (int i = 0; i < top_n; i++) {
top5.push_back(std::make_pair(i, results[start_addr + i]));
}
for (int i = 5; i < img_output_size; i++) {
const auto e = results[start_addr + i];
auto min_ele = &top5.at(0);
for (size_t j = 1; j < top5.size(); j++) {
if (top5.at(j).second < min_ele->second) {
min_ele = &top5.at(j);
}
}
if (e > min_ele->second) {
*min_ele = std::make_pair(i, e);
}
}
// sort descending
std::sort(
top5.begin(), top5.end(), [](const CatProbPair& a, const CatProbPair& b) { return a.second > b.second; });
for (const auto& pair : top5) {
accuracy_file << pair.first << " : " << pair.second << std::endl;
}
std::string line;
std::getline(groundtruth_file, line);
++groundtruth_lineno;
int truth;
try {
truth = std::stoi(line);
} catch (const std::invalid_argument& ia) {
THROW_IE_EXCEPTION << "Unable to parse line " << groundtruth_lineno << " "
<< "of the ground truth file " << groundtruth_loc;
}
accuracy_file << truth << " : truth" << std::endl;
top1_correct_guesses += top5.at(0).first == truth;
int i = 1;
for (const auto& guess : top5) {
if (guess.first == truth && i < img_output_size) {
top5_correct_guesses += 1;
break;
}
i += 1;
}
}
const auto top_n_string = [&](std::ostream& stream, const double correct_guesses, const uint32_t N) {
stream << "top" << N << " accuracy: " << (correct_guesses * 100.0) / (batchSize) << " %" << std::endl;
};
accuracy_file << "====================" << std::endl;
top_n_string(accuracy_file, top1_correct_guesses, 1);
top_n_string(std::cout, top1_correct_guesses, 1);
if (2 < img_output_size && img_output_size < 6) {
top_n_string(accuracy_file, top5_correct_guesses, img_output_size - 1);
top_n_string(std::cout, top5_correct_guesses, img_output_size - 1);
} else if (6 <= img_output_size) {
top_n_string(accuracy_file, top5_correct_guesses, 5);
top_n_string(std::cout, top5_correct_guesses, 5);
}
return true;
}
};
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