4a4c3e8ec9
* Docs: Model caching feature overview * Update docs/IE_DG/Intro_to_Performance.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Apply suggestions from code review Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Review comments - Moved code examples to snippets - Added link to Model Caching overview from "Inference Engine Developer Guide" - Few minor changes * Update docs/IE_DG/Intro_to_Performance.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
21 lines
736 B
C++
21 lines
736 B
C++
#include <ie_core.hpp>
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int main() {
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using namespace InferenceEngine;
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std::string modelPath = "/tmp/myModel.xml";
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std::string deviceName = "GNA";
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std::map<std::string, std::string> deviceConfig;
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InferenceEngine::Core ie;
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//! [part3]
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// Get list of supported metrics
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std::vector<std::string> keys = ie.GetMetric(deviceName, METRIC_KEY(SUPPORTED_METRICS));
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// Find 'IMPORT_EXPORT_SUPPORT' metric in supported metrics
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auto it = std::find(keys.begin(), keys.end(), METRIC_KEY(IMPORT_EXPORT_SUPPORT));
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// If metric 'IMPORT_EXPORT_SUPPORT' exists, check it's value
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bool cachingSupported = (it != keys.end()) && ie.GetMetric(deviceName, METRIC_KEY(IMPORT_EXPORT_SUPPORT));
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//! [part3]
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return 0;
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}
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