{"id":1307,"date":"2020-10-08T15:21:59","date_gmt":"2020-10-08T06:21:59","guid":{"rendered":"https:\/\/ahnbk.com\/?p=1307"},"modified":"2020-10-08T15:26:30","modified_gmt":"2020-10-08T06:26:30","slug":"install-cuda-cudnn-nvidia-driver-on-ubuntu-20-04-for-tensorflow2","status":"publish","type":"post","link":"https:\/\/ahnbk.com\/?p=1307","title":{"rendered":"Install CUDA, cuDNN, Nvidia Driver on Ubuntu 20.04 for Tensorflow2"},"content":{"rendered":"\n

\uae30\uc874\uc5d0 \uc124\uce58\ub418\uc5b4 \uc788\ub294 \uac83\ub4e4 \uc81c\uac70. Ubuntu 20.04\uc5d0\ub294 \uae30\ubcf8\uc73c\ub85c Nvidia Driver\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc73c\ubbc0\ub85c \uc774\ub97c \uc9c0\uc6cc\uc8fc\uc5b4\uc57c \ud568.<\/p>\n\n\n\n

$ sudo apt-get purge nvidia*
$ sudo apt-get autoremove
$ sudo apt-get autoclean<\/code><\/pre>\n\n\n\n
CUDA \uc124\uce58<\/h3>\n\n\n\n
1. \ub808\ud3ec\uc9c0\ud1a0\ub9ac \ud0a4 \ub4f1\ub85d<\/p>\n\n\n\n
$ sudo apt-key adv --fetch-keys http:\/\/developer.download.nvidia.com\/compute\/cuda\/repos\/ubuntu2004\/x86_64\/7fa2af80.pub<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
2. apt\uc5d0 \ub808\ud3ec\uc9c0\ud1a0\ub9ac \uc8fc\uc18c \ub4f1\ub85d<\/p>\n\n\n\n
$ sudo bash -c 'echo \"deb http:\/\/developer.download.nvidia.com\/compute\/cuda\/repos\/ubuntu2004\/x86_64 \/\" >> \/etc\/apt\/sources.list.d\/cuda.list'
$ sudo bash -c 'echo \"deb http:\/\/developer.download.nvidia.com\/compute\/cuda\/repos\/ubuntu1804\/x86_64 \/\" >> \/etc\/apt\/sources.list.d\/cuda.list'<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
3. CUDA, Nvidia Driver \uc124\uce58 (CUDA\ub97c \uc124\uce58\ud558\uba74 \uc790\ub3d9\uc73c\ub85c \uc774\uc5d0 \uc758\uc874\ub41c \ub4dc\ub77c\uc774\ubc84 \uc790\ub3d9\uc73c\ub85c \uc124\uce58)<\/p>\n\n\n\n
$ sudo apt update
$ sudo apt install cuda
$ sudo apt install cuda-10-1<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
4. cuDNN \uc124\uce58\ub97c \uc704\ud55c repo \ud328\ud0a4\uc9c0 \uc124\uce58<\/p>\n\n\n\n
$ wget http:\/\/developer.download.nvidia.com\/compute\/machine-learning\/repos\/ubuntu2004\/x86_64\/nvidia-machine-learning-repo-ubuntu2004_1.0.0-1_amd64.deb
$ sudo dpkg -i nvidia-machine-learning-repo-ubuntu2004_1.0.0-1_amd64.deb<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
5. cuDNN \ub808\ud3ec\uc9c0\ud1a0\ub9ac \ucd94\uac00<\/p>\n\n\n\n
$ sudo bash -c 'echo \"deb http:\/\/developer.download.nvidia.com\/compute\/machine-learning\/repos\/ubuntu1804\/x86_64 \/\" >> \/etc\/apt\/sources.list.d\/nvidia-machine-learning.list'<\/code><\/pre>\n\n\n\n
6. cuDNN \uc124\uce58 (CUDA \ubc84\uc804\uc5d0 \ub9de\ub294 \ubc84\uc804\uc73c\ub85c \uc124\uce58\ud574\uc57c \ud568)<\/p>\n\n\n\n
$ sudo apt install libcudnn7-dev=7.6.5.32-1+cuda10.1 libcudnn7=7.6.5.32-1+cuda10.1<\/code><\/pre>\n\n\n\n
\ucd94\ud6c4 \uc5c5\ub370\uc774\ud2b8\uc2dc \ucd5c\uc2e0\ubc84\uc804\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8 \ub418\ub294 \uac83\uc744 \ubc29\uc9c0<\/p>\n\n\n\n
$ sudo apt-mark hold libcudnn7 libcudnn7-dev
libcudnn7 set on hold.
libcudnn7-dev set on hold.<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
\uc774\uc640 \uac19\uc774 \uc124\uce58\ub97c \uc644\ub8cc\ud558\uace0, \uc7ac\ubd80\ud305\ud55c \ub2e4\uc74c… \ub4dc\ub77c\uc774\ubc84\uac00 \uc798 \uc124\uce58\ub418\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778<\/p>\n\n\n\n
$ nvidia-smi<\/code><\/pre>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/p>\n\n\n\n
\n\n\n\n
TensorFlow2 \uc124\uce58<\/h3>\n\n\n\n
$ sudo apt install python3-pip
$ sudo pip3 install -U tensorflow-gpu<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
\ud658\uacbd\ubcc0\uc218 \uc14b\uc5c5<\/p>\n\n\n\n
$ echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:\/usr\/local\/cuda-11.1\/lib64:\/usr\/local\/cuda-10.2\/lib64:\/usr\/local\/cuda-10.1\/lib64' >> ~\/.bashrc
$ source ~\/.bashrc<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
\uc2e4\ud589 \ubc0f \uc124\uce58 \ud655\uc778<\/p>\n\n\n\n
$ python3
Python 3.8.5 (default, Jul 28 2020, 12:59:40)
[GCC 9.3.0] on linux
Type \"help\", \"copyright\", \"credits\" or \"license\" for more information.
import tensorflow as tf
2020-10-08 15:02:50.803732: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
tf.config.list_physical_devices('GPU')
2020-10-08 15:03:01.717511: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2020-10-08 15:03:01.733336: I tensorflow\/stream_executor\/cuda\/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-08 15:03:01.733585: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1650 computeCapability: 7.5
coreClock: 1.56GHz coreCount: 16 deviceMemorySize: 3.82GiB deviceMemoryBandwidth: 119.24GiB\/s
2020-10-08 15:03:01.733603: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2020-10-08 15:03:01.734679: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10
2020-10-08 15:03:01.735901: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2020-10-08 15:03:01.736061: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2020-10-08 15:03:01.737163: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10
2020-10-08 15:03:01.737773: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10
2020-10-08 15:03:01.740221: I tensorflow\/stream_executor\/platform\/default\/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7
2020-10-08 15:03:01.740295: I tensorflow\/stream_executor\/cuda\/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-08 15:03:01.740563: I tensorflow\/stream_executor\/cuda\/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-10-08 15:03:01.740768: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:1858] Adding visible gpu devices: 0
[PhysicalDevice(name='\/physical_device:GPU:0', device_type='GPU')]<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
\uae30\uc874\uc5d0 \uc124\uce58\ub418\uc5b4 \uc788\ub294 \uac83\ub4e4 \uc81c\uac70. Ubuntu 20.04\uc5d0\ub294 \uae30\ubcf8\uc73c\ub85c Nvidia Driver\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc73c\ubbc0\ub85c \uc774\ub97c \uc9c0\uc6cc\uc8fc\uc5b4\uc57c \ud568. CUDA \uc124\uce58 1. \ub808\ud3ec\uc9c0\ud1a0\ub9ac \ud0a4 \ub4f1\ub85d 2. apt\uc5d0 \ub808\ud3ec\uc9c0\ud1a0\ub9ac \uc8fc\uc18c \ub4f1\ub85d 3. CUDA, Nvidia Driver \uc124\uce58 (CUDA\ub97c \uc124\uce58\ud558\uba74 \uc790\ub3d9\uc73c\ub85c \uc774\uc5d0 \uc758\uc874\ub41c \ub4dc\ub77c\uc774\ubc84 \uc790\ub3d9\uc73c\ub85c \uc124\uce58) 4. cuDNN \uc124\uce58\ub97c \uc704\ud55c repo \ud328\ud0a4\uc9c0 \uc124\uce58 5. cuDNN \ub808\ud3ec\uc9c0\ud1a0\ub9ac \ucd94\uac00 6. cuDNN \uc124\uce58 (CUDA \ubc84\uc804\uc5d0 … <\/p>\n
Continue reading “Install CUDA, cuDNN, Nvidia Driver on Ubuntu 20.04 for Tensorflow2”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"footnotes":"","_jetpack_memberships_contains_paid_content":false},"categories":[62,59],"tags":[20,118,298,297],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p2wXSW-l5","jetpack-related-posts":[],"jetpack_likes_enabled":false,"_links":{"self":[{"href":"https:\/\/ahnbk.com\/index.php?rest_route=\/wp\/v2\/posts\/1307"}],"collection":[{"href":"https:\/\/ahnbk.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ahnbk.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ahnbk.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ahnbk.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1307"}],"version-history":[{"count":5,"href":"https:\/\/ahnbk.com\/index.php?rest_route=\/wp\/v2\/posts\/1307\/revisions"}],"predecessor-version":[{"id":1314,"href":"https:\/\/ahnbk.com\/index.php?rest_route=\/wp\/v2\/posts\/1307\/revisions\/1314"}],"wp:attachment":[{"href":"https:\/\/ahnbk.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1307"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ahnbk.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1307"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ahnbk.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}