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* TRT cast int64 to int32 * windows cmake build cuda src * fix windows cmake error when build cuda src * add a notice in windows gpu build doc * cmake add cuda std=11 * TRT cast output from int32 to int64 * nits * trt get original input output dtype
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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 Nvidia Jetson Platform
- How to Build and Install FastDeploy Library on Android Platform
A Quick Start - Demos
- PP-YOLOE Python Deployment Demo
- PP-YOLOE 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)