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chore: generate build artifacts for 0.5.0 release
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ARG TAG_FOR_BASE_MICROMAMBA_IMAGE | ||
FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE | ||
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ARG CUDA_MAJOR_MINOR_VERSION='' | ||
ARG ENV_IN_FILENAME | ||
ARG ARG_BASED_ENV_IN_FILENAME | ||
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ARG NB_USER="sagemaker-user" | ||
ARG NB_UID=1000 | ||
ARG NB_GID=100 | ||
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USER root | ||
RUN usermod "--login=${NB_USER}" "--home=/home/${NB_USER}" --move-home "-u ${NB_UID}" "${MAMBA_USER}" && \ | ||
groupmod "--new-name=${NB_USER}" --non-unique "-g ${NB_GID}" "${MAMBA_USER}" && \ | ||
# Update the expected value of MAMBA_USER for the | ||
# _entrypoint.sh consistency check. | ||
echo "${NB_USER}" > "/etc/arg_mamba_user" && \ | ||
: | ||
ENV MAMBA_USER=$NB_USER | ||
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RUN apt-get update && \ | ||
apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git && \ | ||
# We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly. | ||
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata awscli && \ | ||
chmod g+w /etc/passwd && \ | ||
echo "ALL ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers && \ | ||
# Note that we do NOT run `rm -rf /var/lib/apt/lists/*` here. If we did, anyone building on top of our images will | ||
# not be able to run any `apt-get install` commands and that would hamper customizability of the images. | ||
: | ||
RUN echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile | ||
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USER $MAMBA_USER | ||
COPY --chown=$MAMBA_USER:$MAMBA_USER *.in /tmp/ | ||
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# Make sure that $ENV_IN_FILENAME has a newline at the end before the `tee` command runs. Otherwise, nasty things | ||
# will happen. | ||
RUN if [[ -z $ARG_BASED_ENV_IN_FILENAME ]] ; \ | ||
then echo 'No ARG_BASED_ENV_IN_FILENAME passed' ; \ | ||
else envsubst < /tmp/$ARG_BASED_ENV_IN_FILENAME | tee --append /tmp/$ENV_IN_FILENAME ; \ | ||
fi | ||
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ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION | ||
RUN micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME && \ | ||
micromamba clean --all --yes --force-pkgs-dirs && \ | ||
rm -rf /tmp/*.in | ||
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ARG MAMBA_DOCKERFILE_ACTIVATE=1 | ||
RUN sudo ln -s $(which python3) /usr/bin/python | ||
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USER root | ||
RUN HOME_DIR="/home/${NB_USER}/licenses" \ | ||
&& mkdir -p ${HOME_DIR} \ | ||
&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \ | ||
&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \ | ||
&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \ | ||
&& chmod +x /usr/local/bin/testOSSCompliance \ | ||
&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \ | ||
&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} python \ | ||
&& rm -rf ${HOME_DIR}/oss_compliance* | ||
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USER $MAMBA_USER | ||
ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH" | ||
WORKDIR "/home/${NB_USER}" | ||
ENV SHELL=/bin/bash |
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# This file is auto-generated. | ||
conda-forge::pytorch[version='>=2.0.0,<3.0.0'] | ||
conda-forge::tensorflow[version='>=2.12.1,<3.0.0'] | ||
conda-forge::python[version='>=3.8.17,<3.9.0'] | ||
conda-forge::pip[version='>=23.2.1,<24.0.0'] | ||
conda-forge::torchvision[version='>=0.15.2,<1.0.0'] | ||
conda-forge::numpy[version='>=1.24.4,<2.0.0'] | ||
conda-forge::pandas[version='>=2.0.3,<3.0.0'] | ||
conda-forge::scikit-learn[version='>=1.3.0,<2.0.0'] | ||
conda-forge::jinja2[version='>=3.1.2,<4.0.0'] | ||
conda-forge::matplotlib[version='>=3.7.2,<4.0.0'] | ||
conda-forge::ipython[version='>=8.12.2,<9.0.0'] | ||
conda-forge::scipy[version='>=1.10.1,<2.0.0'] | ||
conda-forge::keras[version='>=2.12.0,<3.0.0'] | ||
conda-forge::py-xgboost-cpu[version='>=1.7.6,<2.0.0'] | ||
conda-forge::jupyterlab[version='>=3.6.5,<4.0.0'] | ||
conda-forge::ipywidgets[version='>=8.1.0,<9.0.0'] | ||
conda-forge::conda[version='>=23.7.3,<24.0.0'] | ||
conda-forge::boto3[version='>=1.28.35,<2.0.0'] | ||
conda-forge::sagemaker-python-sdk[version='>=2.173.0,<3.0.0'] |
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conda-forge::cudatoolkit=$CUDA_MAJOR_MINOR_VERSION |
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# This file is auto-generated. | ||
conda-forge::pytorch-gpu[version='>=2.0.0,<3.0.0'] | ||
conda-forge::tensorflow[version='>=2.12.1,<3.0.0'] | ||
conda-forge::python[version='>=3.8.17,<3.9.0'] | ||
conda-forge::pip[version='>=23.2.1,<24.0.0'] | ||
conda-forge::torchvision[version='>=0.15.2,<1.0.0'] | ||
conda-forge::numpy[version='>=1.24.4,<2.0.0'] | ||
conda-forge::pandas[version='>=2.0.3,<3.0.0'] | ||
conda-forge::scikit-learn[version='>=1.3.0,<2.0.0'] | ||
conda-forge::jinja2[version='>=3.1.2,<4.0.0'] | ||
conda-forge::matplotlib[version='>=3.7.2,<4.0.0'] | ||
conda-forge::ipython[version='>=8.12.2,<9.0.0'] | ||
conda-forge::scipy[version='>=1.10.1,<2.0.0'] | ||
conda-forge::keras[version='>=2.12.0,<3.0.0'] | ||
conda-forge::py-xgboost-gpu[version='>=1.7.6,<2.0.0'] | ||
conda-forge::jupyterlab[version='>=3.6.5,<4.0.0'] | ||
conda-forge::ipywidgets[version='>=8.1.0,<9.0.0'] | ||
conda-forge::conda[version='>=23.7.3,<24.0.0'] | ||
conda-forge::boto3[version='>=1.28.35,<2.0.0'] | ||
conda-forge::sagemaker-python-sdk[version='>=2.173.0,<3.0.0'] |