Update gpu-cluster-quick-start.md

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Antreas Antoniou 2018-02-01 14:22:29 +00:00 committed by GitHub
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@ -54,7 +54,7 @@ git config --global user.name "[your name]"
git config --global user.email "[matric-number]@sms.ed.ac.uk"
```
9. Now clone the mlpractical repo using ```git clone https://github.com/CSTR-Edinburgh/mlpractical.git```.
10. Checkout the mlp_tf_tutorial branch using ```git checkout mlp2017-8/mlp_tf_tutorial```.
10. Checkout the mlp_tf_tutorial branch using ```git checkout mlp2017-8/semester_2_materials```.
11. ```cd mlpractical``` and then install the required packages using ```pip install -r requirements_gpu.txt```.
12. Once this is done you will need to setup the MLP_DATA path using the following block of commands:
```bash
@ -86,7 +86,7 @@ To submit a job one needs to use ```sbatch script.sh``` which will automatically
#SBATCH --mem=16000 # memory in Mb
#SBATCH -o outfile # send stdout to outfile
#SBATCH -e errfile # send stderr to errfile
#SBATCH -t 0:01:00 # time requested in hour:minute:seconds
#SBATCH -t 1:00:00 # time requested in hour:minute:seconds
# Setup CUDA and CUDNN related paths
export CUDA_HOME=/opt/cuda-8.0.44