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	caa369f64a
	
	
	
		
			
			* 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
Install FastDeploy - Tutorials
- How to Install FastDeploy Prebuilt Libraries
- How to Build and Install FastDeploy 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
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 | 
| 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 |