这篇文章主要介绍“Jetson NX配置pytorch的问题如何解决”的相关知识，小编通过实际案例向大家展示操作过程，操作方法简单快捷，实用性强，希望这篇“Jetson NX配置pytorch的问题如何解决”文章能帮助大家解决问题。
Jetson NX 配置pytorch
环境情况： 系统JetPack 5.0.2 --ubuntu20.04 配置流程 安装miniconda（流程省略）conda create -n pytorch python=3.8 安装pytorch
sudo apt-get -y update;
sudo apt-get -y install autoconf bc build-essential g++-8 gcc-8 clang-8 lld-8 gettext-base gfortran-8 iputils-ping libbz2-dev libc++-dev libcgal-dev libffi-dev libfreetype6-dev libhdf5-dev libjpeg-dev liblzma-dev libncurses5-dev libncursesw5-dev libpng-dev libreadline-dev libssl-dev libsqlite3-dev libxml2-dev libxslt-dev locales moreutils openssl python-openssl rsync scons python3-pip libopenblas-dev;
sudo apt-get install python3-pip libopenblas-base libopenmpi-dev
conda activate pytorch
pip3 install Cython
添加环境变量
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_ROOT=/usr/local/cuda
export TORCH_INSTALL=https://developer.download.nvidia.cn/compute/redist/jp/v51/pytorch/torch-1.14.0a0+44dac51c.nv23.02-cp38-cp38-linux_aarch74.whl
python3 -m pip install --upgrade pip; python3 -m pip install aiohttp numpy=='1.19.4' scipy=='1.5.3'; python3 -m pip install --upgrade protobuf; python3 -m pip install --no-cache $TORCH_INSTALL
torchvision pip install torchvision
测试结果
>>> import torch>>> print(torch.__version__)>>> print('CUDA available: ' + str(torch.cuda.is_available()))>>> print('cuDNN version: ' + str(torch.backends.cudnn.version()))>>> a = torch.cuda.FloatTensor(2).zero_()>>> print('Tensor a = ' + str(a))>>> b = torch.randn(2).cuda()>>> print('Tensor b = ' + str(b))>>> c = a + b>>> print('Tensor c = ' + str(c))>>> import torchvision>>> print(torchvision.__version__)配合repvgg的部署 pip install opencv-contrib-pythonpip install matplotlibpip install torchvision 其他问题
报错:
ImportError: cannot import name ‘PILLOW_VERSION’ from ‘PIL’ (/home/jiajie/anaconda3/envs/py35/lib/python3.7/site-packages/PIL/init.py)
解决:pip index versions pillow or conda search pillowpip3 install pillow==6.2.0
警告：
UserWarning: Failed to load image Python extension:
warn(f"Failed to load image Python extension: {e}")
解决：
没解决，据说是pytorch版本太高，或者是pytorch与torchvision版本不契合
pytorch版本与jetpack的选择
安装pytorch 中第7步，不同版本的jetpack需要根据情况修改版本，
https://developer.download.nvidia.com/compute/redist/jp
选择指定的版本以后复制网页url后替换第7步
关于“Jetson NX配置pytorch的问题如何解决”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识，可以关注编程网行业资讯频道，小编每天都会为大家更新不同的知识点。
