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环境PaddleX-release2.1版本+cuda11.7+TensorRT8.4, 在使用TensorRT时创建config进行初始化会报错,所以未使用TensorRT加速推理;在官方multi-gup-model的工程中ppinference_engine.cpp文件的 std::shared_ptr<paddle_infer::Predictor> predictor_; predictor_->run();运行时间1秒多 输出时调用CopyToCpu耗时7s多
The text was updated successfully, but these errors were encountered:
可以尝试使用PaddleX 新版本的分割模型和部署,https://aistudio.baidu.com/intro/paddlex
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cuicheng01
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环境PaddleX-release2.1版本+cuda11.7+TensorRT8.4, 在使用TensorRT时创建config进行初始化会报错,所以未使用TensorRT加速推理;在官方multi-gup-model的工程中ppinference_engine.cpp文件的
std::shared_ptr<paddle_infer::Predictor> predictor_;
predictor_->run();运行时间1秒多
输出时调用CopyToCpu耗时7s多
The text was updated successfully, but these errors were encountered: