From ee1cc848aca15942f0fe0c86f76712b7e9102e5a Mon Sep 17 00:00:00 2001
From: Martin Schroschk <martin.schroschk@tu-dresden.de>
Date: Wed, 22 Sep 2021 19:26:47 +0200
Subject: [PATCH] Remove code which is now in the GUI
---
.../software/hyperparameter_optimization.md | 54 -------------------
1 file changed, 54 deletions(-)
diff --git a/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md b/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md
index 6a1661bc6..6310581b7 100644
--- a/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md
+++ b/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md
@@ -364,57 +364,3 @@ In order to look into the results, there are the following basic approaches.
1. **Getting the raw data:**
As a second approach the raw data of the optimization process can be exported as a CSV file.
The created output files are stored in the folder `projects/<name_of_optimization_run>/csv`.
-
-### Advanced
-
-#### Using More Multiple GPUs
-
-Inside the workers, you usually only have 1 GPU at most. If you need more than one GPU to optimize
-your program, you can start additional `sbatch`-jobs inside the workers and wait for them to finish.
-Use this as example code of how you can achieve that. It starts an `sbatch`-job with all the
-parameters given to the file via the command line and waits until it is finished, and then prints
-out the results.
-
-```bash
-#!/bin/bash
-
-THISLOGPATH=${RANDOM}.out
-while [ -e $THISLOGPATH ]; do
- THISLOGPATH=${RANDOM}.out
-done
-
-job_still_running () {
- export SLURMID=$1
- if [[ -z $SLURMID ]]; then
- echo "job_still_running without valid Slurm-ID" >&2
- echo "1"
- else
- if [[ $(squeue -u $USER | grep $SLURMID | wc -l) == 0 ]]; then
- echo "1"
- else
- echo "0"
- fi
- fi
-}
-
-export SBATCH_RESULT=$(sbatch -J name_of_your_project --cpus-per-task=4 --gres=gpu:5 --ntasks=1 --time=1:00:00 --mem-per-cpu=2000 -o $THISLOGPATH python3 /your/program.py $@)
-
-export SBATCH_ID=$(echo $SBATCH_RESULT | sed -e 's/.* job //')
-
-if [[ -z $SBATCH_ID ]]; then
- echo "ERROR starting sbatch"
- exit 1
-fi
-
-while [[ $(job_still_running $SBATCH_ID) -eq "0" ]]; do
- sleep 1
-done
-
-cat $THISLOGPATH
-```
-
-You can simply use this and print the `RESULT`-string inside `/your/program.py`. Of course, you may
-have to modify the sbatch call.
-
-You can then run this on `haswell` without GPUs, since the GPUs are allocated in a job different
-from the original OmniOpt-job.
--
GitLab