build_cu115.sh

CU_IMAGE=nvidia/cuda:11.5.2-cudnn8-devel-ubuntu20.04
BRANCH=cuda1152
BRANCH_PUBLISH=cuda1152

docker pull $CU_IMAGE

docker build lab-base --file lab-base/Dockerfile \
	--build-arg BASE_IMG=$CU_IMAGE \
	-t ic-registry.epfl.ch/cvlab/lis/lab-base:$BRANCH \
	--network="host"

docker build lab-pytorch \
	--build-arg BASE_IMG=ic-registry.epfl.ch/cvlab/lis/lab-base:$BRANCH \
	-t ic-registry.epfl.ch/cvlab/lis/lab-pytorch:$BRANCH \
	--network="host"

# docker build lab-python-ml \
# 	--build-arg BASE_IMG=ic-registry.epfl.ch/cvlab/lis/lab-pytorch:$BRANCH \
# 	-t ic-registry.epfl.ch/cvlab/lis/lab-python-ml:$BRANCH \
# 	--network="host"


# docker run -it ic-registry.epfl.ch/cvlab/lis/lab-python-ml:$BRANCH /bin/bash
#docker login ic-registry.epfl.ch
# docker push ic-registry.epfl.ch/cvlab/lis/lab-pytorch:$BRANCH
# docker push ic-registry.epfl.ch/cvlab/lis/lab-python-ml:$BRANCH
#rm ~/.docker/config.json
932595912e8e 2b8bb5f68029