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diff --git a/compiler/nnkit/tools/benchmark/src/Benchmark.cpp b/compiler/nnkit/tools/benchmark/src/Benchmark.cpp
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+++ b/compiler/nnkit/tools/benchmark/src/Benchmark.cpp
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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <nnkit/CmdlineArguments.h>
+#include <nnkit/VectorArguments.h>
+#include <nnkit/BackendPlugin.h>
+
+#include <stdex/Memory.h>
+
+#include <map>
+#include <string>
+
+#include <chrono>
+
+#include <iostream>
+#include <iomanip>
+
+using stdex::make_unique;
+
+using std::chrono::milliseconds;
+using std::chrono::microseconds;
+
+using milliseconds_f = std::chrono::duration<float, std::milli>;
+
+using std::chrono::duration_cast;
+
+namespace
+{
+
+template <class Rep, class Period> class Session
+{
+public:
+ Session(std::chrono::duration<Rep, Period> *out) : _out{out}
+ {
+ // DO NOTHING
+ }
+
+public:
+ template <typename Callable> void measure(Callable cb)
+ {
+ using namespace std::chrono;
+
+ auto beg = steady_clock::now();
+ cb();
+ auto end = steady_clock::now();
+
+ (*_out) += duration_cast<duration<Rep, Period>>(end - beg);
+ }
+
+private:
+ std::chrono::duration<Rep, Period> *_out;
+};
+
+template <class Rep, class Period, typename Callable>
+Session<Rep, Period> &operator<<(Session<Rep, Period> &&sess, Callable &&cb)
+{
+ sess.measure(std::forward<Callable>(cb));
+ return sess;
+}
+
+template <class Rep, class Period>
+Session<Rep, Period> measure(std::chrono::duration<Rep, Period> &out)
+{
+ return Session<Rep, Period>{&out};
+}
+
+class Message
+{
+public:
+ Message(const std::string &head) { std::cout << head; }
+
+public:
+ ~Message() { std::cout << std::endl; }
+
+public:
+ std::ostream &os(void) const { return std::cout; }
+};
+
+Message info(void) { return Message{"INFO: "}; }
+
+using OptionHook = std::function<void(const std::string &arg)>;
+
+} // namespace
+
+template <typename T> std::ostream &operator<<(const ::Message &m, T &&value)
+{
+ return m.os() << std::forward<T>(value);
+}
+
+int main(int argc, char **argv)
+{
+ std::unique_ptr<nnkit::BackendPlugin> backend_plugin;
+ nnkit::VectorArguments backend_arguments;
+
+ uint32_t warmup_count = 3;
+ uint32_t benchmark_count = 1;
+
+ // Simple argument parser (based on map)
+ std::map<std::string, OptionHook> argparse;
+
+ argparse["--backend"] = [&backend_plugin](const std::string &tag) {
+ backend_plugin = std::move(nnkit::make_backend_plugin(tag));
+ };
+
+ argparse["--backend-arg"] = [&backend_arguments](const std::string &arg) {
+ backend_arguments.append(arg);
+ };
+
+ argparse["--benchmark-count"] = [&benchmark_count](const std::string &arg) {
+ benchmark_count = std::stoi(arg);
+ };
+
+ for (int n = 1; n < argc; n += 2)
+ {
+ const std::string tag{argv[n]};
+ const std::string arg{argv[n + 1]};
+
+ auto it = argparse.find(tag);
+
+ if (it == argparse.end())
+ {
+ std::cerr << "Option '" << tag << "' is not supported" << std::endl;
+ return 255;
+ }
+
+ it->second(arg);
+ }
+
+ // CHECK: Command-line arguments
+ if (backend_plugin == nullptr)
+ {
+ std::cerr << "ERROR: --backend is mssing" << std::endl;
+ return 255;
+ }
+
+ // Initialize
+ auto backend = backend_plugin->create(backend_arguments);
+
+ // Run warm-up iterations
+ info() << "Start warming-up iterations(" << warmup_count << ")";
+
+ for (uint32_t n = 0; n < warmup_count; ++n)
+ {
+ backend->prepare([](nnkit::TensorContext &ctx) {
+ // DO NOTHING
+ });
+
+ backend->run();
+
+ backend->teardown([](nnkit::TensorContext &ctx) {
+ // DO NOTHING
+ });
+ }
+
+ // Run benchmark iterations
+ info() << "Start benchmark iterations(" << benchmark_count << ")";
+
+ microseconds elapsed_min{0};
+ microseconds elapsed_max{0};
+ microseconds elapsed_total{0};
+
+ for (uint32_t n = 0; n < benchmark_count; ++n)
+ {
+ backend->prepare([](nnkit::TensorContext &ctx) {
+ // DO NOTHING
+ });
+
+ microseconds elapsed{0};
+
+ ::measure(elapsed) << [&](void) { backend->run(); };
+
+ info() << "#" << n + 1 << " takes " << duration_cast<milliseconds_f>(elapsed).count() << "ms";
+
+ elapsed_min = (n == 0) ? elapsed : std::min(elapsed_min, elapsed);
+ elapsed_max = (n == 0) ? elapsed : std::max(elapsed_max, elapsed);
+ elapsed_total += elapsed;
+
+ backend->teardown([](nnkit::TensorContext &ctx) {
+ // DO NOTHING
+ });
+ }
+
+ // Show summary
+ info() << "Show statistics";
+
+ auto min_ms = duration_cast<milliseconds_f>(elapsed_min).count();
+ auto max_ms = duration_cast<milliseconds_f>(elapsed_max).count();
+ auto avg_ms = duration_cast<milliseconds_f>(elapsed_total).count() / benchmark_count;
+
+ info() << "MIN: " << min_ms << "ms"
+ << ", MAX: " << max_ms << "ms, AVG: " << avg_ms << "ms";
+
+ return 0;
+}