Jetson NX 配置pytorch

備注：參考博客最后安裝的pytorch無法使用cuda-----目前沒找到原因，不知如何解決。
但是官方的教程沒問題！

環(huán)境情況： 系統(tǒng)JetPack 5.0.2 --ubuntu20.04 配置流程 安裝miniconda（流程省略）conda create -n pytorch python=3.8 安裝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

添加環(huán)境變量

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

測試結(jié)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 其他問題

報錯:

ImportError: cannot import name ‘PILLOW_VERSION’ from ‘PIL’ (/home/jiajie/anaconda3/envs/py35/lib/python3.7/site-packages/PIL/init.py)

解決:
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}")

解決：
沒解決，據(jù)說是pytorch版本太高，或者是pytorch與torchvision版本不契合

pytorch版本與jetpack的選擇

安裝pytorch 中第7步，不同版本的jetpack需要根據(jù)情況修改版本，

https://developer.download.nvidia.com/compute/redist/jp
選擇指定的版本以后復制網(wǎng)頁url后替換第7步

參考文檔

官方教程–還得是官方啊

參考博客1

參考博客2

官方提供的離線包

pytorch/vision

到此這篇關于Jetson NX 配置 pytorch的文章就介紹到這了,更多相關Jetson NX 配置 pytorch內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家！

最新評論