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581962bcbb
* add paddle_trt in benchmark * update benchmark in device * update benchmark * update result doc * fixed for CI * update python api_docs * update index.rst * add runtime cpp examples * deal with comments * Update infer_paddle_tensorrt.py * Add runtime quick start * deal with comments * fixed reused_input_tensors&&reused_output_tensors * fixed docs Co-authored-by: Jason <928090362@qq.com>
简体中文| English
Tutorials
Install
- How to Install FastDeploy Prebuilt Libraries
- How to Build and Install FastDeploy Library on GPU Platform
- How to Build and Install FastDeploy Library on CPU Platform
- How to Build and Install FastDeploy Library on IPU Platform
- How to Build and Install FastDeploy Library on Nvidia Jetson Platform
- How to Build and Install FastDeploy Library on Android Platform
A Quick Start - Demos
- Python Deployment Demo
- C++ Deployment Demo
- A Quick Start on Runtime Python
- A Quick Start on Runtime C++
API (To be continued)
Performance Optimization
Frequent Q&As
- 1. How to Change Inference Backends
- 2. How to Use FastDeploy C++ SDK on Windows Platform
- 3. How to Use FastDeploy C++ SDK on Android Platform(To be Continued)
- 4. Tricks of TensorRT
- 5. How to Develop a New Model(To be Continued)