Step-by-step

Taito-GPU setup

# Loading the modules (these commands shuold be ran everytime you logged in)
module purge
module load StdEnv
module load gcc/4.8.2
module load git/1.9.2
module load python-env
module load cuda/7.0
module load boost/1.58
module load openblas

# first
pip install virtualenv --user

# add this line to ~/.bashrc
export PATH=$PATH:/homeappl/home/[your_account_name]/.local/bin

# reload .bashrc
source ~/.bashrc

# Now create python virtual environment 
cd /path/to/your/python/environment
virtualenv [name_of_environment] --no-site-packages

# activate your environment
source /path/to/your/python/environment/[name_of_environment]/bin/activate

# install python packages (just copy paste next line)
pip install numpy; pip install scipy; pip install matplotlib; pip install ipython[all]; pip install pandas; pip install sympy; pip install nose; pip install pycuda; pip install theano

# to deactivate (back to system python)
deactivate

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How to run theano python script on GPU server
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# create example.slurm
````````````````````File: example.slurm``````````````````````
#!/bin/bash
#SBATCH -N 1
#SBATCH -p gpu
#SBATCH -t 00:05:00
#SBATCH -J gpuinfo
#SBATCH -o gpuinfo.out.%j
#SBATCH -e gpuinfo.out.%j
#SBATCH --gres=gpu:2
#SBATCH --exclusive
#SBATCH

source $HOME/a7dea06c655dcec82784/modules # this line for reload the modules I wrote at the beginning
source $HOME/.env/ai/bin/activate  # activate environment you created

# run your script
THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python $HOME/src/test.py

deactivate
``````````````````````````End file````````````````````````````

# submit code to GPU server
sbatch example.slurm
# the report will be saved at the same folder
cat gpuinfo.out.6979937 [the number is id of report]