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Install FastDeploy - Tutorials
Install Prebuilt FastDeploy
Build FastDeploy and Install
- Build and Install on GPU Platform
- Build and Install on CPU Platform
- Build and Install on IPU Platform
- Build and Install on Nvidia Jetson Platform
- Build and Install on Android Platform
- Build and Install on RV1126 Platform
- Build and Install on A311D Platform
- Build and Install on KunlunXin XPU Platform
Build options
| option | description |
|---|---|
| ENABLE_ORT_BACKEND | Default OFF, whether to enable ONNX Runtime backend(CPU/GPU) |
| ENABLE_PADDLE_BACKEND | Default OFF，whether to enable Paddle Inference backend(CPU/GPU) |
| ENABLE_TRT_BACKEND | Default OFF，whether to enable TensorRT backend(GPU) |
| ENABLE_OPENVINO_BACKEND | Default OFF，whether to enable OpenVINO backend(CPU) |
| ENABLE_VISION | Default OFF，whether to enable vision models deployment module |
| ENABLE_TEXT | Default OFF，whether to enable text models deployment module |
| WITH_GPU | Default OFF, if build on GPU, this need to be ON |
| WITH_XPU | Default OFF，if deploy on KunlunXin XPU，this need to be ON |
| WITH_TIMVX | Default OFF，if deploy on RV1126/RV1109/A311D，this need to be ON |
| CUDA_DIRECTORY | Default /usr/local/cuda, if build on GPU, this defines the path of CUDA(>=11.2) |
| TRT_DIRECTORY | If build with ENABLE_TRT_BACKEND=ON, this defines the path of TensorRT(>=8.4) |
| ORT_DIRECTORY | [Optional] If build with ENABLE_ORT_BACKEND=ON, this flag defines the path of ONNX Runtime, but if this flag is not set, it will download ONNX Runtime library automatically |
| OPENCV_DIRECTORY | [Optional] If build with ENABLE_VISION=ON, this flag defines the path of OpenCV, but if this flag is not set, it will download OpenCV library automatically |
| OPENVINO_DIRECTORY | [Optional] If build WITH ENABLE_OPENVINO_BACKEND=ON, this flag defines the path of OpenVINO, but if this flag is not set, it will download OpenVINO library automatically |