notebooks/components/example-notebook-servers/jupyter-tensorflow-cuda-full/Dockerfile

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705 B
Docker

#
# NOTE: Use the Makefiles to build this image correctly.
#
ARG BASE_IMG=<jupyter-tensorflow-cuda>
FROM $BASE_IMG
# install - conda packages
# NOTE: we use mamba to speed things up
RUN mamba install -y -q \
bokeh==3.2.2 \
cloudpickle==2.2.1 \
dill==0.3.7 \
ipympl==0.9.3 \
matplotlib==3.8.0 \
numpy==1.24.3 \
pandas==2.1.1 \
scikit-image==0.22.0 \
scikit-learn==1.3.1 \
scipy==1.11.3 \
seaborn==0.13.0 \
xgboost==1.7.6 \
&& mamba clean -a -f -y
# install - requirements.txt
COPY --chown=${NB_USER}:users requirements.txt /tmp/requirements.txt
RUN python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir \
&& rm -f /tmp/requirements.txt