Commented out gpu usage, added runner, added runner to readme

README.md

@@ -15,18 +15,25 @@ pamac install nvidia-container-toolkit
 ```
 (switch pamac for a package manager that your distribution uses). If your Nvidia card still doesn't work, some troubleshooting can be found [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) and [here](https://medium.com/@mmnshkmr/manjaro-setup-tensorflow-docker-container-w-nvidia-gpu-cacd0714f9b).
 
-- To run the experiments, please first run (as root) ```prepare.sh``` or ```prepare_minimal.sh```. This will download and prepare the full and minimal datasets, respectively:
+- To run the experiments, please first run (maybe as root) ```prepare.sh``` or ```prepare_minimal.sh```. This will download and prepare the full and minimal datasets, respectively:
 
 ```
-sudo bash prepare.sh
+bash prepare.sh
 ```
 ```
-sudo bash prepare_minimal.sh
+bash prepare_minimal.sh
 ```
+
 - Then ```cd``` into the experiments folder. Here you will find 5 different experiments, each with a different setup. You can change the training hyperparameters in ```config.py```. Run the experiment by running:
 
 ```
-docker-compose up --build
+docker-compose up
+```
+
+You can run all experiments 'in the background' by doing: 
+
+```
+nohup bash runner.sh > code2seq-vanilla.log &
 ```
 
 **Warning!** If you hit the rate limits on Nvidia Docker image downloads, you might start getting an ```401 Unauthorized``` error when trying to download the Docker image. If that happens, please follow [this guide](https://stackoverflow.com/a/70970425/13988119) to register and login through your Nvidia account.

experiments/1-no-comments/docker-compose.yml

@@ -24,10 +24,10 @@ services:
       # There has to be an existing model for the following to work
       continueTrainingFromCheckpoint: "false"
 
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
+    #deploy:
+    #  resources:
+    #    reservations:
+    #      devices:
+    #        - driver: nvidia
+    #          count: 1
+    #          capabilities: [gpu]

experiments/2-comments/docker-compose.yml

@@ -24,10 +24,10 @@ services:
       # There has to be an existing model for the following to work
       continueTrainingFromCheckpoint: "false"
 
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
+    #deploy:
+    #  resources:
+    #    reservations:
+    #      devices:
+    #        - driver: nvidia
+    #          count: 1
+    #          capabilities: [gpu]

experiments/3-comments-no-stopwords/docker-compose.yml

@@ -24,10 +24,10 @@ services:
       # There has to be an existing model for the following to work
       continueTrainingFromCheckpoint: "false"
 
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
+    #deploy:
+    #  resources:
+    #    reservations:
+    #      devices:
+    #        - driver: nvidia
+    #          count: 1
+    #          capabilities: [gpu]

experiments/4-comments-tfidf/docker-compose.yml

@@ -24,10 +24,10 @@ services:
       # There has to be an existing model for the following to work
       continueTrainingFromCheckpoint: "false"
 
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
+    #deploy:
+    #  resources:
+    #    reservations:
+    #      devices:
+    #        - driver: nvidia
+    #          count: 1
+    #          capabilities: [gpu]

experiments/5-comments-no-stopwords-tfidf/docker-compose.yml

@@ -24,10 +24,10 @@ services:
       # There has to be an existing model for the following to work
       continueTrainingFromCheckpoint: "false"
 
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
+    #deploy:
+    #  resources:
+    #    reservations:
+    #      devices:
+    #        - driver: nvidia
+    #          count: 1
+    #          capabilities: [gpu]

runner.sh

@@ -0,0 +1,10 @@
+#!/usr/bin/env bash
+
+# This script runs all (known) docker-composes in this directory.
+# In the folders in this directory all the experiments are specified with there respective docker composes and configuration files.
+
+echo "Running all experiments sequentially"
+
+find . -name "docker-compose.yml" -print0 | xargs -I {} -0 sh -c 'docker-compose -f {} up; docker-compose -f {} down'
+
+echo "Finished running all experiments"