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6c235c8edb
[G-API] Pipeline modeling tool: Refactor calculating performance statistics * Add warmup execution * Align perf metrics * Add busy wait mode for source * Small fix for late frames * pl_fn to src_fn * Change show statistics * Correct warm-up iteration * Properly calculate drop frames * Enable frame dropping for streaming mode * Enable frame dropping for streaming mode * Fix comments to review * Fix typos * Cosmetic
251 lines
6.9 KiB
C++
251 lines
6.9 KiB
C++
#ifndef OPENCV_GAPI_PIPELINE_MODELING_TOOL_PIPELINE_HPP
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#define OPENCV_GAPI_PIPELINE_MODELING_TOOL_PIPELINE_HPP
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#include <iomanip>
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struct PerfReport {
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std::string name;
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double avg_latency = 0.0;
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double min_latency = 0.0;
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double max_latency = 0.0;
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double first_latency = 0.0;
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double throughput = 0.0;
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double elapsed = 0.0;
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double warmup_time = 0.0;
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int64_t num_late_frames = 0;
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std::vector<double> latencies;
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std::vector<int64_t> seq_ids;
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std::string toStr(bool expanded = false) const;
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};
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std::string PerfReport::toStr(bool expand) const {
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const auto to_double_str = [](double val) {
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std::stringstream ss;
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ss << std::fixed << std::setprecision(3) << val;
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return ss.str();
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};
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std::stringstream ss;
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ss << name << ": warm-up: " << to_double_str(warmup_time)
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<< " ms, execution time: " << to_double_str(elapsed)
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<< " ms, throughput: " << to_double_str(throughput)
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<< " FPS, latency: first: " << to_double_str(first_latency)
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<< " ms, min: " << to_double_str(min_latency)
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<< " ms, avg: " << to_double_str(avg_latency)
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<< " ms, max: " << to_double_str(max_latency)
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<< " ms, frames: " << num_late_frames << "/" << seq_ids.back()+1 << " (dropped/all)";
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if (expand) {
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for (size_t i = 0; i < latencies.size(); ++i) {
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ss << "\nFrame:" << i << "\nLatency: "
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<< to_double_str(latencies[i]) << " ms";
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}
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}
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return ss.str();
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}
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class StopCriterion {
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public:
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using Ptr = std::unique_ptr<StopCriterion>;
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virtual void start() = 0;
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virtual void iter() = 0;
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virtual bool done() = 0;
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virtual ~StopCriterion() = default;
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};
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class Pipeline {
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public:
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using Ptr = std::shared_ptr<Pipeline>;
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Pipeline(std::string&& name,
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cv::GComputation&& comp,
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std::shared_ptr<DummySource>&& src,
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StopCriterion::Ptr stop_criterion,
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cv::GCompileArgs&& args,
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const size_t num_outputs);
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void compile();
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void run();
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const PerfReport& report() const;
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const std::string& name() const { return m_name;}
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virtual ~Pipeline() = default;
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protected:
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virtual void _compile() = 0;
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virtual void run_iter() = 0;
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virtual void init() {};
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virtual void deinit() {};
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void prepareOutputs();
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std::string m_name;
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cv::GComputation m_comp;
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std::shared_ptr<DummySource> m_src;
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StopCriterion::Ptr m_stop_criterion;
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cv::GCompileArgs m_args;
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size_t m_num_outputs;
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PerfReport m_perf;
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cv::GRunArgsP m_pipeline_outputs;
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std::vector<cv::Mat> m_out_mats;
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int64_t m_start_ts;
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int64_t m_seq_id;
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};
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Pipeline::Pipeline(std::string&& name,
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cv::GComputation&& comp,
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std::shared_ptr<DummySource>&& src,
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StopCriterion::Ptr stop_criterion,
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cv::GCompileArgs&& args,
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const size_t num_outputs)
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: m_name(std::move(name)),
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m_comp(std::move(comp)),
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m_src(std::move(src)),
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m_stop_criterion(std::move(stop_criterion)),
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m_args(std::move(args)),
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m_num_outputs(num_outputs) {
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m_perf.name = m_name;
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}
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void Pipeline::compile() {
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m_perf.warmup_time =
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utils::measure<utils::double_ms_t>([this]() {
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_compile();
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});
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}
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void Pipeline::prepareOutputs() {
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// NB: N-2 buffers + timestamp + seq_id.
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m_out_mats.resize(m_num_outputs - 2);
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for (auto& m : m_out_mats) {
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m_pipeline_outputs += cv::gout(m);
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}
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m_pipeline_outputs += cv::gout(m_start_ts);
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m_pipeline_outputs += cv::gout(m_seq_id);
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}
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void Pipeline::run() {
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using namespace std::chrono;
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// NB: Allocate outputs for execution
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prepareOutputs();
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// NB: Warm-up iteration invalidates source state
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// so need to copy it
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auto orig_src = m_src;
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auto copy_src = std::make_shared<DummySource>(*m_src);
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// NB: Use copy for warm-up iteration
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m_src = copy_src;
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// NB: Warm-up iteration
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init();
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run_iter();
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deinit();
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// NB: Calculate first latency
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m_perf.first_latency = utils::double_ms_t{
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microseconds{utils::timestamp<microseconds>() - m_start_ts}}.count();
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// NB: Now use original source
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m_src = orig_src;
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// NB: Start measuring execution
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init();
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auto start = high_resolution_clock::now();
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m_stop_criterion->start();
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while (true) {
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run_iter();
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const auto latency = utils::double_ms_t{
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microseconds{utils::timestamp<microseconds>() - m_start_ts}}.count();
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m_perf.latencies.push_back(latency);
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m_perf.seq_ids.push_back(m_seq_id);
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m_stop_criterion->iter();
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if (m_stop_criterion->done()) {
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m_perf.elapsed = duration_cast<utils::double_ms_t>(
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high_resolution_clock::now() - start).count();
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deinit();
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break;
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}
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}
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m_perf.avg_latency = utils::avg(m_perf.latencies);
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m_perf.min_latency = utils::min(m_perf.latencies);
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m_perf.max_latency = utils::max(m_perf.latencies);
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// NB: Count the number of dropped frames
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int64_t prev_seq_id = m_perf.seq_ids[0];
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for (size_t i = 1; i < m_perf.seq_ids.size(); ++i) {
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m_perf.num_late_frames += m_perf.seq_ids[i] - prev_seq_id - 1;
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prev_seq_id = m_perf.seq_ids[i];
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}
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m_perf.throughput = (m_perf.latencies.size() / m_perf.elapsed) * 1000;
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}
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const PerfReport& Pipeline::report() const {
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return m_perf;
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}
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class StreamingPipeline : public Pipeline {
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public:
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using Pipeline::Pipeline;
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private:
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void _compile() override {
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m_compiled =
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m_comp.compileStreaming({m_src->descr_of()},
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cv::GCompileArgs(m_args));
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}
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virtual void init() override {
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m_compiled.setSource(m_src);
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m_compiled.start();
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}
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virtual void deinit() override {
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m_compiled.stop();
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}
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virtual void run_iter() override {
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m_compiled.pull(cv::GRunArgsP{m_pipeline_outputs});
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}
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cv::GStreamingCompiled m_compiled;
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};
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class RegularPipeline : public Pipeline {
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public:
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using Pipeline::Pipeline;
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private:
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void _compile() override {
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m_compiled =
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m_comp.compile({m_src->descr_of()},
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cv::GCompileArgs(m_args));
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}
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virtual void run_iter() override {
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cv::gapi::wip::Data data;
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m_src->pull(data);
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m_compiled({data}, cv::GRunArgsP{m_pipeline_outputs});
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}
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cv::GCompiled m_compiled;
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};
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enum class PLMode {
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REGULAR,
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STREAMING
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};
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#endif // OPENCV_GAPI_PIPELINE_MODELING_TOOL_PIPELINE_HPP
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