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Other tips/notes on running analyses: KerasTips |
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{{{# !/bin/sh [no spaces] [-x /etc/vnc/startup] && exec /etc/vnc/startup [ -r $HOME/.Xresources ] && xrdb $HOME/.Xresources xsetroot -solid grey vncconfig -iconic & x-terminal-emulator -geometry 80x24+10+10 -ls -title "$VNCDESKTOP Desktop" & x-window-manager & gnome-panel & gnome-settings-daemon & metacity & nautilus }}} | {{{ # ! /bin/sh [no spaces] [-x /etc/vnc/startup] && exec /etc/vnc/startup [ -r $HOME/.Xresources ] && xrdb $HOME/.Xresources xsetroot -solid grey vncconfig -iconic & x-terminal-emulator -geometry 80x24+10+10 -ls -title "$VNCDESKTOP Desktop" & x-window-manager & gnome-panel & gnome-settings-daemon & metacity & nautilus }}} |
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Home folder: Edit `keras.json` and change `tensorflow` to `theano` | Edit `keras.json` (in home folder) Change `backend:` from `tensorflow` -> `theano` Change `image_dim_ordering:` from `tf` -> `th` |
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Only needs to be done once. Will only unmount if we do so explicitly or if Agnew/Farnsworth gets rebooted (or if their network connection dies) | |
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Only needs to be done once: Will only unmount if we do so explicitly or if Agnew/Farnsworth gets rebooted (or if their network connection dies) Install cifs-utils package: `sudo apt-get install cifs-utils` `sudo mkdir /mnt/eeg_data_analysis` (or whatever the share is named) |
Install cifs-utils package: `sudo apt-get install cifs-utils` `sudo mkdir /mnt/eeg_data_analysis` (or whatever the share is named) |
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== Start VNC session == Enter in Terminal: {{{ ssh yourusername@agnew/calculon.local vncserver :yourvncnumber -geometry (whatever, e.g.) 1280x800 }}} Enter in VNC: {{{ agnew/calculon.local :yourvncnumber }}} == End VNC session == {{{ vncserver -kill :yourvncnumber }}} |
Setup for deep learning workstation
This page covers the steps for setting up a machine primarily intended for deep learning analyses. This is assuming Ubuntu has already been installed.
Other tips/notes on running analyses: KerasTips
Initial setup
Package installation
openssh-server sudo apt-get install tightvncserver sudo apt-get install ubuntu-desktop gnome-panel gnome-settings-daemon metacity nautilus gnome-terminal
VNC server configuration
# ! /bin/sh [no spaces] [-x /etc/vnc/startup] && exec /etc/vnc/startup [ -r $HOME/.Xresources ] && xrdb $HOME/.Xresources xsetroot -solid grey vncconfig -iconic & x-terminal-emulator -geometry 80x24+10+10 -ls -title "$VNCDESKTOP Desktop" & x-window-manager & gnome-panel & gnome-settings-daemon & metacity & nautilus
Adding users
sudo adduser newusername sudo usermod -aG sudo newusername
Keras setup
Install and run Anaconda:
ls /opt/anaconda3 sudo bash [name of anaconda .sh file] pip install theano pip install keras apt-get install git
Edit keras.json (in home folder)
Change backend: from tensorflow -> theano
Change image_dim_ordering: from tf -> th
Install CUDA 8 and CUDNN:
http://askubuntu.com/questions/788323/change-runlevel-on-16-04
http://askubuntu.com/questions/481414/install-nvidia-driver-instead-nouveau (top solution)
Add CUDA directory cuda/bin to path
Copy cudnn.h to cuda include directory
Copy shared libraries to cuda library
Make .theanorc in home directory
Set CUDA/root environment variable
Change ldconfig in cuda lib directory: sudo ldconfig /usr/local/cuda/lib64 (unclear how often we have to do this -- each restart? Per user?)
Mount Farnsworth
Only needs to be done once. Will only unmount if we do so explicitly or if Agnew/Farnsworth gets rebooted (or if their network connection dies)
Install cifs-utils package: sudo apt-get install cifs-utils sudo mkdir /mnt/eeg_data_analysis (or whatever the share is named)
sudo mount -t cifs -o username=matt //farnsworth/eeg_data/analysis /mnt/eeg_data_analysis/ (replace username with your Farnsworth username)
Start VNC session
Enter in Terminal:
ssh yourusername@agnew/calculon.local vncserver :yourvncnumber -geometry (whatever, e.g.) 1280x800
Enter in VNC:
agnew/calculon.local :yourvncnumber
End VNC session
vncserver -kill :yourvncnumber