As I had encountered errors when I tried to install cupy,
on Ubuntu 18.04
I upgrade cudnn. Then I succeeded installation of cupy.
The following is a notes on the procedure.
1. after uninstallation of existing pip, reinstall pip
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python3 get-pip.py --user -vv
python get-pip.py --user -vv
install a recent cuda-toolkit
2-0. You should insatll nvidia-drivers first. the followings.
2-1. download the cuda toolkit from
https://developer.nvidia.com/cuda-toolkit-archive
2.2 install cuda-toolkit
sudo dpkg -i cuda-repo-ubuntu1804-10-0-local-10.0.130-410.48_1.0-1_amd64.deb
sudo apt-key add /var/cuda-repo-10-0-local-10.0.130-410.48/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda
3.0 install cudnn
3-1 download packages for ubuntu18.04 from
https://developer.nvidia.com/rdp/cudnn-download
3-2. install cudnn packages
sudo dpkg -i libcudnn7_7.3.1.20-1+cuda10.0_amd64.deb
sudo dpkg -i libcudnn7-dev_7.3.1.20-1+cuda10.0_amd64.deb
sudo dpkg -i libcudnn7-doc_7.3.1.20-1+cuda10.0_amd64.deb
3-3. replace the old cuda path with cuda-10.0 path
nano ~/.bashrc
NVIDIA CUDA Toolkit
export PATH=/usr/local/cuda-10.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH
source ~/.bashrc
echo $PATH |grep cuda
install cupy
pip3 install --user cupy
python3
import cupy
import cupy.cudnn
failed.
modulenotfounderror: no module named 'cupy.cudnn'
so I did the following
4.0 pip3 uninstall cupy
set $CUDA_PATH as /usr/local/cuda
pip3 -v install --user cupy --no-cache-dir
python3
import cupy
import cupy.cudnn
No error.
additional
sudo cp /usr/local/cuda/include/cuda_fp16.hpp /usr/include
sudo cp /usr/local/cuda/include/cuda_fp16.h /usr/include
カテゴリー: PC-OS-IT
CATEGORY ARCHIVE
LLVMのインストール(Ubuntu 18.04)
メモリーが3GB以上ないと長い時間がかかったあげく、outofmemoryで失敗するので注意。
1.最初にSVNをインストールしておく (下記のサイトを参考にした) How to Install SVN Server on Ubuntu 18.04 & 16.04 LTS 但し、libapache2-svn がインストール出来なかった また、sudo service apache2 restart の位置は/etc/apache2/mods-enabled/dav_svn.c$ 変更が必要 203 sudo apt update 204 sudo apt upgrade 205 sudo apt autoremove 208 sudo apt install texinfo 211 sudo apt install perl 212 sudo apt install m4 213 sudo apt install autoconf 214 sudo apt install automake 215 sudo apt install libtool 216 sudo apt install apache2 218 sudo apt-get install subversion libapache2-mod-svn libsvn-dev 223 sudo a2enmod dav 224 sudo a2enmod dav_svn 226 sudo nano /etc/apache2/mods-enabled/dav_svn.conf Alias /svn /var/lib/svn DAV svn SVNParentPath /var/lib/svn AuthType Basic AuthName “Subversion Repository” AuthUserFile /etc/apache2/dav_svn.passwd Require valid-user 225 sudo service apache2 restart 228 sudo apt install graphviz xdot 233 sudo mkdir -p /var/lib/svn/ 234 sudo svnadmin create /var/lib/svn/myrepo 235 sudo chown -R www-data:www-data /var/lib/svn 236 sudo chmod -R 775 /var/lib/svn 237 sudo nano /etc/apache2/dav_svn.passwd 238 sudo htpasswd -cm /etc/apache2/dav_svn.passwd admin
2. llvm installation 229 mkdir llvm 230 cd llvm svn co http://llvm.org/svn/llvm-project/llvm/trunk llvm cd llvm/tools svn co http://llvm.org/svn/llvm-project/cfe/trunk clang cd ../projects svn co http://llvm.org/svn/llvm-project/compiler-rt/trunk compiler-rt mkdir ~/llvm/llvm-build cd ~/llvm/llvm-build ここから、http://llvm.org/docs/CMake.html を参考にした。 cmake ~/llvm/llvm cmake ?build . sudo cmake -DCMAKE_INSTALL_PREFIX=/usr/local/llvm -P cmake_install.cmake cmake ?build . ?target install nano ~/.bashrc export PATH=$PATH:/usr/local/llvm/bin source ~/.bashrc
I encountered black screen when login after ubuntu upgrade from 17.10 to 18.04
My tentative solution has been the following.
sudo apt install nvidia-cuda-toolkit
sudo apt install clinfo
sudo apt-add-repository ppa:graphics-drivers/ppa
sudo apt update
sudo apt upgrade
sudo reboot
nvidia-smi
clinfo
sudo apt install lightdm
(choose lightdm)
; countermeasurea black screen
sudo reboot
ubuntuでのm2.SSD nvmeタイプの温度表示
準備
$ sudo apt install nvme-cli
m2.ssd nvme1の一覧表示
$ sudo nvme list
温度表示
$ sudo nvme smart-log /dev/nvme0n1
例
temperature : 42 C
ubuntu 17.10でcuda8.0, nvidia-284でGNUバージョンエラーと/usr/bin/ld: cannot find-lnvcuvidエラー
NVIDIA_CUDA-8.0_Samplesでsampleをmakeしようとすると2種類のエラー発生したのでその対策
1.GNUバージョンエラー対策
$ sudo apt-get install gcc-4.8
$ sudo apt-get install g++-4.8
$ sudo update-alternatives ?install /usr/bin/gcc gcc /usr/bin/gcc-4.8 20
$ sudo update-alternatives ?install /usr/bin/g++ g++ /usr/bin/g++-4.8 20
- /usr/bin/ld: cannot find -lnvcuvidエラー対策
$ sudo cp /usr/lib/nvidia-384/libnvcuvid.so /usr/local/cuda-8.0/lib64
$ sudo cp /usr/lib/nvidia-384/libnvcuvid.so.1 /usr/local/cuda-8.0/lib64
これでsampleがmakeできる様になり動かせた。
Voice3 kitを購入しセットアップした。
なお、マニュアルと違う点が以下あり
1.sudo apt install at-spi2-core が必要だった
2.デモプログラムの位置は
src/examples/voice/assistant_library_demo.py
3.エラーになると、rm ~/.asoundrc が必要かも
あと、英語で話してもなかなか認識してくれない
