mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-15 05:01:00 +08:00
66 lines
2.8 KiB
Markdown
66 lines
2.8 KiB
Markdown
English | [中文](../../cn/build_and_install/jetson.md)
|
||
|
||
# How to Build FastDeploy Library on Nvidia Jetson Platform
|
||
|
||
FastDeploy supports CPU inference with ONNX Runtime and GPU inference with Nvidia TensorRT/Paddle Inference on Nvidia Jetson platform
|
||
|
||
- If there's error occurs, shows `Could not find a package configuration file provided by "Python" with any of the following names: PythonConfig.cmake python-config.cmake`, please try to [upgrade cmake to 3.25 or newer version](https://cmake.org/download/) to solve the problem.
|
||
-
|
||
## How to Build and Install FastDeploy C++ Library
|
||
|
||
Prerequisite for Compiling on NVIDIA Jetson:
|
||
|
||
- gcc/g++ >= 5.4 (8.2 is recommended)
|
||
- cmake >= 3.10.0
|
||
- jetpack >= 4.6.1
|
||
|
||
If you need to integrate Paddle Inference backend(Support CPU/GPU)，please download and decompress the prebuilt library in [Paddle Inference prebuild libraries](https://www.paddlepaddle.org.cn/inference/v2.4/guides/install/download_lib.html#c) according to your develop envriment.
|
||
|
||
```
|
||
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
||
cd FastDeploy
|
||
mkdir build && cd build
|
||
cmake .. -DBUILD_ON_JETSON=ON \
|
||
-DENABLE_VISION=ON \
|
||
-DENABLE_PADDLE_BACKEND=ON \ # This is optional, can be OFF if you don't need
|
||
-DPADDLEINFERENCE_DIRECTORY=/Download/paddle_inference_jetson \
|
||
-DCMAKE_INSTALL_PREFIX=${PWD}/installed_fastdeploy
|
||
make -j8
|
||
make install
|
||
```
|
||
|
||
Once compiled, the C++ inference library is generated in the directory specified by `CMAKE_INSTALL_PREFIX`
|
||
|
||
## How to Build and Install FastDeploy Python Library
|
||
|
||
Prerequisite for Compiling on NVIDIA Jetson:
|
||
|
||
- gcc/g++ >= 5.4 (8.2 is recommended)
|
||
- cmake >= 3.10.0
|
||
- jetpack >= 4.6.1
|
||
- python >= 3.6
|
||
|
||
Notice the `wheel` is required if you need to pack a wheel, execute `pip install wheel` first.
|
||
|
||
If you need to integrate Paddle Inference backend(Support CPU/GPU)，please download and decompress the prebuilt library in [Paddle Inference prebuild libraries](https://www.paddlepaddle.org.cn/inference/v2.4/guides/install/download_lib.html#c) according to your develop envriment.
|
||
|
||
All compilation options are imported via environment variables
|
||
|
||
```
|
||
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
||
cd FastDeploy/python
|
||
export BUILD_ON_JETSON=ON
|
||
export ENABLE_VISION=ON
|
||
|
||
# ENABLE_PADDLE_BACKEND & PADDLEINFERENCE_DIRECTORY are optional
|
||
export ENABLE_PADDLE_BACKEND=ON
|
||
export PADDLEINFERENCE_DIRECTORY=/Download/paddle_inference_jetson
|
||
|
||
python setup.py build
|
||
python setup.py bdist_wheel
|
||
```
|
||
|
||
The compiled `wheel` package will be generated in the `FastDeploy/python/dist` directory once finished. Users can pip-install it directly.
|
||
|
||
During the compilation, if developers want to change the compilation parameters, it is advisable to delete the `build` and `.setuptools-cmake-build` subdirectories in the `FastDeploy/python` to avoid the possible impact from cache, and then recompile.
|