init

Dockerfile

+# Use the official Ubuntu base image
+FROM ubuntu:22.04
+
+# Set environment variables
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install Python and pip
+RUN apt-get update && apt-get install -y \
+    python3 \
+    python3-pip && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install PyTorch
+RUN pip3 install torch
+
+# Command to check the number of GPUs available
+CMD ["python3", "-c", "import torch; print('GPUs available:', torch.cuda.device_count())"]
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README.md

+# GPU-Cluster-Image-Test
+
+Dieses Projekt enthält einen `Dockerfile` und eine `.gitlab-ci.yml`.
+Die Pipeline definiert in `.gitlab-ci.yml` baut das Docker-Image und lädt dieses in die
+Image-Registry `mcr.informatik.uni-halle.de`.
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gitlab-ci.yml

+image: docker:24.0.5  # Use the latest version of Docker available
+
+services:
+  - name: docker:24.0.5-dind  # Use the Docker-in-Docker image
+    command: ["--tls=false"]
+
+variables:
+  # Define the Docker image name using the GitLab CI environment variables
+  IMAGE_NAME: $CI_REGISTRY_IMAGE:$CI_COMMIT_REF_SLUG
+
+  # Ensure Docker commands are sent to the Docker-in-Docker service
+  DOCKER_HOST: tcp://docker:2375/
+  DOCKER_TLS_CERTDIR: ""  # Disable Docker's TLS feature since it's not needed here
+
+before_script:
+  # Login to the GitLab Container Registry
+  - docker login -u "$CI_REGISTRY_USER" -p "$CI_REGISTRY_PASSWORD" $CI_REGISTRY
+
+stages:
+  - build
+  - deploy
+
+build:
+  stage: build
+  script:
+    # Build the Docker image using the Dockerfile
+    - docker build -t $IMAGE_NAME .
+    # Push the Docker image to the GitLab Container Registry
+    - docker push $IMAGE_NAME