vscode-dev-containers
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Published
20 hours ago •
microsoft
microsoft
Azure Machine Learning Dockerfile fails to build
- VSCode Version: 1.69.2
- Local OS Version: macOS 12.5
- Local chip architecture: Apple Silicon
- Reproduces in: Remote - Containers
- Name of Dev Container Definition with Issue: Azure Machine Learning
Steps to Reproduce:
Found this via dev containers, but the problem is directly with https://github.com/microsoft/vscode-dev-containers/blob/main/containers/azure-machine-learning-python-3/.devcontainer/Dockerfile - just try to docker build this. It fails (at least on my machine!) with the following:
[+] Building 0.0s (1/2)
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 2B 0.0s
failed to solve with frontend dockerfile.v0: failed to read dockerfile: open /var/lib/docker/tmp/buildkit-mount558440908/Dockerfile: no such file or directory
(base) jcrowley@macbook-pro-14 .devcontainer2 % docker build .
[+] Building 12.1s (5/5) FINISHED
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 3.67kB 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load metadata for mcr.microsoft.com/vscode/devcontainers/base:ubuntu-18.04 0.7s
=> CACHED [1/2] FROM mcr.microsoft.com/vscode/devcontainers/base:ubuntu-18.04@sha256:4a97767a653276e0e4762 0.0s
=> ERROR [2/2] RUN apt-get update && export DEBIAN_FRONTEND=noninteractive && if [ "1000" != "100 11.3s
------
> [2/2] RUN apt-get update && export DEBIAN_FRONTEND=noninteractive && if [ "1000" != "1000" ] || [ "1000" != "1000" ]; then groupmod --gid 1000 vscode && usermod --uid 1000 --gid 1000 vscode && chown -R 1000:1000 /home/vscode; fi && apt-get install -y gnupg-agent software-properties-common && curl -fsSL https://download.docker.com/linux/$(lsb_release -is | tr '[:upper:]' '[:lower:]')/gpg | (OUT=$(apt-key add - 2>&1) || echo $OUT) && add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/$(lsb_release -is | tr '[:upper:]' '[:lower:]') $(lsb_release -cs) stable" && apt-get update && apt-get install -y docker-ce-cli && apt-get install -y bzip2 libglib2.0-0 libxext6 libsm6 libxrender1 gcc g++ && mkdir -p /opt/conda && chown vscode:root /opt/conda && echo "Downloading Anaconda..." && su --login -c "wget -q https://repo.anaconda.com/archive/Anaconda3-2020.02-Linux-x86_64.sh -O /tmp/anaconda-install.sh && /bin/bash /tmp/anaconda-install.sh -u -b -p /opt/conda" vscode 2>&1 && rm /tmp/anaconda-install.sh && ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && export SNIPPET="export PATH=$PATH:$HOME/.local/bin && if [ "$(stat -c '%U' /opt/conda)" != "vscode" ]; then sudo chown -R vscode:root /opt/conda; fi && . /opt/conda/etc/profile.d/conda.sh && conda activate base" && echo "$SNIPPET" | tee -a /root/.bashrc >> /home/vscode/.bashrc && echo "$SNIPPET" | tee -a /root/.zshrc >> /home/vscode/.zshrc && find /opt/conda/ -follow -type f -name '*.a' -delete && find /opt/conda/ -follow -type f -name '*.js.map' -delete && /opt/conda/bin/conda clean -afy && su --login -c "/opt/conda/bin/pip install --no-cache-dir --upgrade azureml-sdk[notebooks,automl]" vscode 2>&1 && apt-get autoremove -y && apt-get clean -y && rm -rf /var/lib/apt/lists/*:
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#5 2.217 Reading package lists...
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#5 3.803 The following additional packages will be installed:
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#5 3.803 gpg-wks-server gpgconf gpgsm gpgv python3-software-properties
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#5 6.518 Setting up python3-software-properties (0.96.24.32.18) ...
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#5 11.22 E: Unable to locate package docker-ce-cli
------
executor failed running [/bin/sh -c apt-get update && export DEBIAN_FRONTEND=noninteractive && if [ "$USER_GID" != "1000" ] || [ "$USER_UID" != "1000" ]; then groupmod --gid $USER_GID $USERNAME && usermod --uid $USER_UID --gid $USER_GID $USERNAME && chown -R $USER_UID:$USER_GID /home/$USERNAME; fi && apt-get install -y gnupg-agent software-properties-common && curl -fsSL https://download.docker.com/linux/$(lsb_release -is | tr '[:upper:]' '[:lower:]')/gpg | (OUT=$(apt-key add - 2>&1) || echo $OUT) && add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/$(lsb_release -is | tr '[:upper:]' '[:lower:]') $(lsb_release -cs) stable" && apt-get update && apt-get install -y docker-ce-cli && apt-get install -y bzip2 libglib2.0-0 libxext6 libsm6 libxrender1 gcc g++ && mkdir -p ${CONDA_INSTALL_PATH} && chown ${USERNAME}:root /opt/conda && echo "Downloading Anaconda..." && su --login -c "wget -q https://repo.anaconda.com/archive/Anaconda3-${ANACONDA_VERSION}-Linux-x86_64.sh -O /tmp/anaconda-install.sh && /bin/bash /tmp/anaconda-install.sh -u -b -p ${CONDA_INSTALL_PATH}" ${USERNAME} 2>&1 && rm /tmp/anaconda-install.sh && ln -s ${CONDA_INSTALL_PATH}/etc/profile.d/conda.sh /etc/profile.d/conda.sh && export SNIPPET="export PATH=\$PATH:\$HOME/.local/bin && if [ \"\$(stat -c '%U' ${CONDA_INSTALL_PATH})\" != \"${USERNAME}\" ]; then sudo chown -R ${USERNAME}:root ${CONDA_INSTALL_PATH}; fi && . ${CONDA_INSTALL_PATH}/etc/profile.d/conda.sh && conda activate base" && echo "$SNIPPET" | tee -a /root/.bashrc >> /home/${USERNAME}/.bashrc && echo "$SNIPPET" | tee -a /root/.zshrc >> /home/${USERNAME}/.zshrc && find ${CONDA_INSTALL_PATH}/ -follow -type f -name '*.a' -delete && find ${CONDA_INSTALL_PATH}/ -follow -type f -name '*.js.map' -delete && ${CONDA_INSTALL_PATH}/bin/conda clean -afy && su --login -c "${CONDA_INSTALL_PATH}/bin/pip install --no-cache-dir --upgrade azureml-sdk[${AZURE_ML_SDK_EXTRAS}]" ${USERNAME} 2>&1 && apt-get autoremove -y && apt-get clean -y && rm -rf /var/lib/apt/lists/*]: exit code: 100
cc @sevillal I'm not sure if you've reviewed or used the AML dev container template at all, but wanted to loop you in in case you had any thoughts.
Hey @bamurtaugh, I haven't worked on this template before. I tried it out and I was not able to repro on my local machine, from the logs it looks like it the repo to install docker engine is not registered.
@jamescrowley what docker version are you using?
