pytorch model tensorrt accelerates - pth to onnx to trt, and tests the model speed in reasoning trt model
First, you need to install two necessary packages tensorrt and torch2trt. If tensorrt, you need to download the tar compressed package on the official website. It is recommended to download the tar package for installation, Official website , I downloaded version 7.2.3. torch2trt can clone projects on GitHub. My environment (tensorrt seems to w ...
Added by Sk8Er_GuY on Fri, 18 Feb 2022 18:51:22 +0200
Engineering model: use TensorRT - Accelerated reasoning under Linux to complete the process from environment installation to training deployment
1. Environment and Version Description
~~~~~~~
● ubuntu 18.04
~~~~~~~
● CUDA 10.0
...
Added by Beauford on Wed, 02 Feb 2022 15:31:07 +0200
How to export preprocessed image data for model reasoning from Deepstream Infer Plugin and use TensorRT for reasoning test
During the process of integrating models into Deepstream Infer Plugin, there may be some problems. One of the problems that puzzles people is that after a model is integrated into Deepstream Infer Plugin, the accuracy of model reasoning decreases, which is worse than that of directly using python or C + + to call the original model or using Ten ...
Added by joejoejoe on Thu, 16 Dec 2021 14:00:53 +0200
ONNX to TensorRT accelerated model reasoning
preface
TensorRT is an efficient deep learning model reasoning framework launched by NVIDIA. It includes deep learning reasoning optimizer and runtime, which can make deep learning reasoning applications have the advantages of low latency and high throughput. In essence, it is to accelerate the reasoning speed of the whole network by fusing s ...
Added by rolwong on Thu, 30 Sep 2021 23:51:37 +0300