[tensorrt]tensorrt下载地址和资料汇总

TensorRT 下载地址、开发文档地址、Python 实例地址以及接口地址
1.TensorRT 下载地址:
https://developer.nvidia.com/nvidia-tensorrt-download
2.TensorRT 开发者文档:
https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html
3.TensorRT C++实例
https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html#samples
4.TensorRT Python 实例:
https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html#python_topics
5.TensorRT C++ 接口介绍:
https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html#network_c
6.TensorRT Python 接口介绍:
https://docs.nvidia.com/deeplearning/sdk/tensorrt-api/python_api/index.html
7.TensorRT 开源项目:
--TensorRT&Deepstream:
● https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps
--TensorRT & Tegra 平台:
● https://github.com/dusty-nv/jetson-inference
8.怎么查看当前系统中 TensorRT 版本:
dpkg -l | grep nvinfer
9.常用 TensorFlow/TensorRT 模型:
https://github.com/NVIDIA-AI-IOT/tf_trt_models
10.将 TensorFlow 中的.pb 模型转化成.uff 格式:
convert-to-uff frozen_inference_graph.pb -p config.py -t
11.TensorRT 在 Python 中添加自定义层 Plugin 的示例:
https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html#add_custom_layer_python
12.TensorRT 集成 TensorFlow 环境配置:
https://developer .nvidia-china.com/forum.php?mod=viewthread&tid=8788&extra=page%3D1

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