Jetson NX 配置pytorch

备注:参考博客最后安装的pytorch无法使用cuda-----目前没找到原因,不知如何解决。
但是官方的教程没问题!

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_aarch64.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 pillow
pip3 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

参考文档

官方教程–还得是官方啊

参考博客1

参考博客2

官方提供的离线包

pytorch/vision