completed thesisHEADmaster

1 files changed, 42 insertions, 0 deletions

diff --git a/python/openvino/runtime/common/utils/src/latency_metrics.cpp b/python/openvino/runtime/common/utils/src/latency_metrics.cpp
new file mode 100644
index 0000000..c6c3d15
--- /dev/null
+++ b/python/openvino/runtime/common/utils/src/latency_metrics.cpp
@@ -0,0 +1,42 @@
+// Copyright (C) 2018-2022 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+// clang-format off
+#include <algorithm>
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "samples/latency_metrics.hpp"
+// clang-format on
+
+void LatencyMetrics::write_to_stream(std::ostream& stream) const {
+    std::ios::fmtflags fmt(stream.flags());
+    stream << data_shape << ";" << std::fixed << std::setprecision(2) << median_or_percentile << ";" << avg << ";"
+           << min << ";" << max;
+    stream.flags(fmt);
+}
+
+void LatencyMetrics::write_to_slog() const {
+    std::string percentileStr = (percentile_boundary == 50)
+                                    ? "   Median:           "
+                                    : "   " + std::to_string(percentile_boundary) + " percentile:     ";
+
+    slog::info << percentileStr << double_to_string(median_or_percentile) << " ms" << slog::endl;
+    slog::info << "   Average:          " << double_to_string(avg) << " ms" << slog::endl;
+    slog::info << "   Min:              " << double_to_string(min) << " ms" << slog::endl;
+    slog::info << "   Max:              " << double_to_string(max) << " ms" << slog::endl;
+}
+
+void LatencyMetrics::fill_data(std::vector<double> latencies, size_t percentile_boundary) {
+    if (latencies.empty()) {
+        throw std::logic_error("Latency metrics class expects non-empty vector of latencies at consturction.");
+    }
+    std::sort(latencies.begin(), latencies.end());
+    min = latencies[0];
+    avg = std::accumulate(latencies.begin(), latencies.end(), 0.0) / latencies.size();
+    median_or_percentile = latencies[size_t(latencies.size() / 100.0 * percentile_boundary)];
+    max = latencies.back();
+};