Dockerfile.tf2.19.0

FROM tensorflow/tensorflow:2.19.0

# Annotation spec: https://github.com/opencontainers/image-spec/blob/main/annotations.md
ARG DESCRIPTION="TensorFlow 2.19.0 / Python 3.11.11 / Ubuntu 22.04"
ARG CREATED
ARG URL
ARG SOURCE
ARG VERSION
ARG REVISION
ARG VENDOR
ARG TITLE
LABEL org.label-schema.build-date=${CREATED} \
      org.label-schema.url=${URL} \
      org.label-schema.vcs-url=${SOURCE} \
      org.label-schema.version=${VERSION} \
      org.label-schema.vcs-ref=${REVISION} \
      org.label-schema.vendor=${VENDOR} \
      org.label-schema.name=${TITLE} \
      org.label-schema.description=${DESCRIPTION} \
      org.label-schema.schema-version="1.0" \
      org.opencontainers.image.created=${CREATED} \
      org.opencontainers.image.url=${URL} \
      org.opencontainers.image.source=${SOURCE} \
      org.opencontainers.image.version=${VERSION} \
      org.opencontainers.image.revision=${REVISION} \
      org.opencontainers.image.vendor=${VENDOR} \
      org.opencontainers.image.title=${TITLE} \
      org.opencontainers.image.description=${DESCRIPTION} \
      org.opencontainers.image.base.digest="sha256:f24e8494d43a4e613edd7fbd3782594368d52d79af1e216051139ed2d7830682" \
      org.opencontainers.image.base.name="docker.io/tensorflow/tensorflow:2.19.0" \
      org.opencontainers.image.ref.name="tensorflow/tensorflow:2.19.0"


RUN pip --no-cache-dir install -q --upgrade \
      ipywidgets \
      jupyterlab \
      keras \
      nltk \
      opencv-python-headless \
      pandas \
      scikit-learn \
      scikit-image \
      seaborn

# Jupyter has issues with being run directly:
#   https://github.com/ipython/ipython/issues/7062
# We just add a little wrapper script.
COPY run_jupyter.sh /

# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888

WORKDIR /notebooks

CMD ["/run_jupyter.sh", "--ip='*'", "--port=8888", "--no-browser", "--allow-root"]