Initial commit

.gitlab-ci.yml

+image: registry-gitlab.pasteur.fr/dsi-tools/docker-images/docker:latest
+
+services:
+    - registry-gitlab.pasteur.fr/dsi-tools/docker-images/docker:dind
+stages:
+    - build
+
+build:
+  stage: build
+  script:
+    - docker login -u gitlab-ci-token -p "$CI_BUILD_TOKEN" registry-gitlab.pasteur.fr
+    - docker build --pull -t "$CI_REGISTRY_IMAGE:$CI_BUILD_REF_NAME" .
+    - docker push "$CI_REGISTRY_IMAGE:$CI_BUILD_REF_NAME"
+    - docker tag "$CI_REGISTRY_IMAGE:$CI_BUILD_REF_NAME" "$CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA"
+    - docker push "$CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA"
+    - docker tag  "$CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA"  "$CI_REGISTRY_IMAGE:latest"
+    - docker push "$CI_REGISTRY_IMAGE:latest"
+    - export   MY_TIME=`date +"%F-%H%M"`
+    - docker tag  "$CI_REGISTRY_IMAGE:latest" "$CI_REGISTRY_IMAGE:$MY_TIME" 
+    - docker push "$CI_REGISTRY_IMAGE:$MY_TIME"

Dockerfile

+FROM registry-gitlab.pasteur.fr/tru/docker-c7-miniconda-ci:latest
+MAINTAINER Tru Huynh <tru@pasteur.fr>
+
+RUN yum -y update && yum -y upgrade && \
+	yum -y clean all
+
+# update miniconda
+RUN /opt/miniconda3/bin/conda update conda && /opt/miniconda3/bin/conda update --all
+RUN /opt/miniconda3/bin/conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch
+
+# environment (should already be set from docker-c7-miniconda-ci)
+#ENV PATH=/opt/miniconda3/bin:$PATH
+
+RUN date +"%Y-%m-%d-%H%M" > /last_update

README.md

+# building a pytorch-cuda10.2 miniconda image based on centos7 for CI
+
+Tru <tru@pasteur.fr>
+
+(toy) docker image produced available at `registry-gitlab.pasteur.fr/tru/docker-c7-miniconda-pytorch-cuda10.2-ci:latest`