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Install jq to docker and push to ECR repo #3693

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Merged
yeounoh merged 1 commit into from
Jul 8, 2022
Merged

Install jq to docker and push to ECR repo #3693

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6 changes: 2 additions & 4 deletions .circleci/config.yml
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Expand Up @@ -23,10 +23,8 @@ launch_docker_and_build: &launch_docker_and_build
# To allow the upstream workflow to access PyTorch/XLA build images, we
# need to have them in the ECR. This is not expensive, and only pushes it
# if image layers are not present in the repo.
#docker tag ${GCR_DOCKER_IMAGE} ${ECR_DOCKER_IMAGE_BASE}:latest >/dev/null
#docker tag ${GCR_DOCKER_IMAGE} ${ECR_DOCKER_IMAGE_BASE}:v0.2 >/dev/null
#docker push ${ECR_DOCKER_IMAGE_BASE}:latest >/dev/null
#docker push ${ECR_DOCKER_IMAGE_BASE}:v0.2 >/dev/null
docker tag ${GCR_DOCKER_IMAGE} ${ECR_DOCKER_IMAGE_BASE}:v0.4 >/dev/null
docker push ${ECR_DOCKER_IMAGE_BASE}:v0.4 >/dev/null
sudo pkill -SIGHUP dockerd
# To enable remote caching, use SCCACHE_BUCKET=${SCCACHE_BUCKET}
echo "declare -x SCCACHE_BUCKET=${LOCAL_BUCKET}" >> /home/circleci/project/env
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5 changes: 3 additions & 2 deletions .circleci/docker/Dockerfile
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Expand Up @@ -51,8 +51,9 @@ RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub

# Install base system packages
RUN apt-get update --fix-missing
RUN apt-get install -y python-pip python3-pip git curl libopenblas-dev vim \
RUN apt-get clean && apt-get update
RUN apt-get upgrade -y
RUN apt-get install --fix-missing -y python-pip python3-pip git curl libopenblas-dev vim jq \
apt-transport-https ca-certificates procps openssl sudo wget libssl-dev libc6-dbg

# Install clang & llvm
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