| 58 | }; |
| 59 | |
| 60 | SampleSegmentation::SampleSegmentation(const std::string& engineFilename) |
| 61 | : mEngineFilename(engineFilename) |
| 62 | , mEngine(nullptr) |
| 63 | { |
| 64 | // De-serialize engine from file |
| 65 | std::ifstream engineFile(engineFilename, std::ios::binary); |
| 66 | if (engineFile.fail()) |
| 67 | { |
| 68 | return; |
| 69 | } |
| 70 | |
| 71 | engineFile.seekg(0, std::ifstream::end); |
| 72 | auto fsize = engineFile.tellg(); |
| 73 | engineFile.seekg(0, std::ifstream::beg); |
| 74 | |
| 75 | std::vector<char> engineData(fsize); |
| 76 | engineFile.read(engineData.data(), fsize); |
| 77 | |
| 78 | util::UniquePtr<nvinfer1::IRuntime> runtime{nvinfer1::createInferRuntime(sample::gLogger.getTRTLogger())}; |
| 79 | mEngine.reset(runtime->deserializeCudaEngine(engineData.data(), fsize, nullptr)); |
| 80 | assert(mEngine.get() != nullptr); |
| 81 | } |
| 82 | |
| 83 | //! |
| 84 | //! \brief Runs the TensorRT inference. |
nothing calls this directly
no test coverage detected