# b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.

ARG BASE_TAG=m46

ARG TENSORFLOW_VERSION=2.3.1

FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl

FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}

ADD clean-layer.sh /tmp/clean-layer.sh

ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl

# This is necessary for apt to access HTTPS sources

RUN apt-get update && \

apt-get install apt-transport-https && \

/tmp/clean-layer.sh

# Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,

# as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346

RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \

apt-get update && \

# Needed by vowpalwabbit & lightGBM (GPU build).

# https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Python#installing

# https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm

apt-get install -y build-essential unzip cmake && \

apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev libboost-filesystem-dev zlib1g-dev && \

pip install --upgrade pip && \

/tmp/clean-layer.sh

# Make sure the dynamic linker finds the right libstdc++

ENV LD_LIBRARY_PATH=/opt/conda/lib

# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.

ENV PROJ_LIB=/opt/conda/share/proj

# Install conda packages not available on pip.

# When using pip in a conda environment, conda commands should be ran first and then

# the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/

# Using the same global consistent ordered list of channels

RUN conda config --add channels conda-forge && \

conda config --add channels nvidia && \

conda config --add channels pytorch && \

conda config --add channels rapidsai && \

# ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.

# 161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.

conda install matplotlib basemap cartopy python-igraph imagemagick "pysal==2.1.0" && \

conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cpuonly && \

/tmp/clean-layer.sh

# The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

RUN pip install seaborn python-dateutil dask && \

pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \

pip install pandas && \

# Install h2o from source.

# Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.

apt-get install -y default-jre-headless && \

pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \

/tmp/clean-layer.sh

# Install tensorflow from a pre-built wheel

COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/

RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \

rm -rf /tmp/tensorflow_cpu && \

/tmp/clean-layer.sh

# Install tensorflow-gcs-config from a pre-built wheel

COPY --from=tensorflow_whl /tmp/tensorflow_gcs_config/*.whl /tmp/tensorflow_gcs_config/

RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \

rm -rf /tmp/tensorflow_gcs_config && \

/tmp/clean-layer.sh

# Install TensorFlow addons (TFA).

COPY --from=tensorflow_whl /tmp/tfa_cpu/*.whl /tmp/tfa_cpu/

RUN pip install /tmp/tfa_cpu/tensorflow*.whl && \

rm -rf /tmp/tfa_cpu/ && \

/tmp/clean-layer.sh

RUN apt-get install -y libfreetype6-dev && \

apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \

pip install gensim && \

pip install textblob && \

pip install wordcloud && \

pip install xgboost && \

# Pinned to match GPU version. Update version together.

pip install lightgbm==2.3.1 && \

pip install keras && \

pip install keras-tuner && \

pip install flake8 && \

pip install Theano && \

pip install python-Levenshtein && \

pip install hep_ml && \

pip install chainer && \

# NLTK Project datasets

mkdir -p /usr/share/nltk_data && \

# NLTK Downloader no longer continues smoothly after an error, so we explicitly list

# the corpuses that work

# "yes | ..." answers yes to the retry prompt in case of an error. See b/133762095.

yes | python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \

basque_grammars biocreative_ppi bllip_wsj_no_aux \

book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \

comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \

europarl_raw floresta gazetteers genesis gutenberg \

ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \

masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \

mte_teip5 names nps_chat omw opinion_lexicon paradigms \

pil pl196x porter_test ppattach problem_reports product_reviews_1 product_reviews_2 propbank \

pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \

sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \

state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \

twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \

vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \

# Stop-words

pip install stop-words && \

pip install scikit-image && \

/tmp/clean-layer.sh

RUN pip install ibis-framework && \

pip install mxnet && \

pip install gluonnlp && \

pip install gluoncv && \

/tmp/clean-layer.sh

# scikit-learn dependencies

RUN pip install scipy && \

pip install scikit-learn && \

# HDF5 support

pip install h5py && \

pip install biopython && \

# PUDB, for local debugging convenience

pip install pudb && \

pip install imbalanced-learn && \

# Profiling and other utilities

pip install line_profiler && \

pip install orderedmultidict && \

pip install smhasher && \

pip install bokeh && \

pip install numba && \

pip install datashader && \

# Boruta (python implementation)

pip install Boruta && \

apt-get install -y graphviz && pip install graphviz && \

# Pandoc is a dependency of deap

apt-get install -y pandoc && \

pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \

pip install essentia && \

/tmp/clean-layer.sh

# vtk with dependencies

RUN apt-get install -y libgl1-mesa-glx && \

pip install vtk && \

# xvfbwrapper with dependencies

apt-get install -y xvfb && \

pip install xvfbwrapper && \

/tmp/clean-layer.sh

RUN pip install mpld3 && \

pip install gpxpy && \

pip install arrow && \

pip install nilearn && \

pip install nibabel && \

pip install pronouncing && \

pip install markovify && \

pip install imgaug && \

pip install preprocessing && \

pip install path.py && \

pip install Geohash && \

# https://github.com/vinsci/geohash/issues/4

sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.7/site-packages/Geohash/__init__.py && \

pip install deap && \

pip install tpot && \

pip install scikit-optimize && \

pip install haversine && \

pip install toolz cytoolz && \

pip install plotly && \

pip install hyperopt && \

pip install fitter && \

pip install langid && \

# Delorean. Useful for dealing with datetime

pip install delorean && \

pip install trueskill && \

# Useful data exploration libraries (for missing data and generating reports)

pip install missingno && \

pip install pandas-profiling && \

pip install s2sphere && \

pip install bayesian-optimization && \

pip install matplotlib-venn && \

pip install pyldavis && \

pip install mlxtend && \

pip install altair && \

pip install pystan && \

pip install ImageHash && \

pip install ecos && \

pip install CVXcanon && \

pip install fancyimpute && \

pip install pymc3 && \

pip install imagecodecs && \

pip install tifffile && \

pip install spectral && \

pip install descartes && \

pip install geojson && \

pip install pydicom && \

pip install wavio && \

pip install SimpleITK && \

pip install hmmlearn && \

pip install bayespy && \

pip install gplearn && \

pip install PyAstronomy && \

pip install squarify && \

pip install fuzzywuzzy && \

pip install python-louvain && \

pip install pyexcel-ods && \

pip install sklearn-pandas && \

pip install stemming && \

pip install fbprophet && \

pip install holoviews && \

pip install geoviews && \

pip install hypertools && \

pip install py_stringsimjoin && \

pip install mlens && \

pip install scikit-multilearn && \

pip install cleverhans && \

pip install leven && \

pip install catboost && \

pip install lightfm && \

pip install folium && \

pip install scikit-plot && \

# dipy requires the optional fury dependency for visualizations.

pip install fury dipy && \

pip install plotnine && \

pip install scikit-surprise && \

pip install pymongo && \

pip install geoplot && \

pip install eli5 && \

pip install implicit && \

pip install kaggle && \

/tmp/clean-layer.sh

RUN pip install tensorpack && \

# Add google PAIR-code Facets

cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \

export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \

pip install pycountry && \

pip install iso3166 && \

pip install pydash && \

pip install kmodes --no-dependencies && \

pip install librosa && \

pip install polyglot && \

pip install mmh3 && \

pip install fbpca && \

pip install sentencepiece && \

pip install cufflinks && \

pip install lime && \

pip install memory_profiler && \

/tmp/clean-layer.sh

# install cython & cysignals before pyfasttext

RUN pip install --upgrade cython && \

pip install --upgrade cysignals && \

pip install pyfasttext && \

# ktext has an explicit dependency on Keras 2.2.4 which is not

# compatible with TensorFlow 2.0 (support was added in Keras 2.3.0).

# Add the package back once it is fixed upstream.

# pip install ktext && \

pip install fasttext && \

apt-get install -y libhunspell-dev && pip install hunspell && \

pip install annoy && \

pip install category_encoders && \

# google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1

pip install google-cloud-automl==1.0.1 && \

# Newer version crashes (latest = 1.14.0) when running tensorflow.

# python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py

# which is loaded at startup.

pip install google-cloud-bigquery==1.12.1 && \

pip install google-cloud-storage && \

pip install ortools && \

pip install scattertext && \

# Pandas data reader

pip install pandas-datareader && \

pip install wordsegment && \

pip install wordbatch && \

pip install emoji && \

# Add Japanese morphological analysis engine

pip install janome && \

pip install wfdb && \

pip install vecstack && \

# yellowbrick machine learning visualization library

pip install yellowbrick && \

pip install mlcrate && \

/tmp/clean-layer.sh

RUN pip install bleach && \

pip install certifi && \

pip install cycler && \

pip install decorator && \

pip install entrypoints && \

pip install html5lib && \

# Latest version breaks nbconvert: https://github.com/ipython/ipykernel/issues/422

pip install ipykernel==5.1.1 && \

pip install ipython && \

pip install ipython-genutils && \

pip install ipywidgets && \

pip install isoweek && \

pip install jedi && \

pip install Jinja2 && \

pip install jsonschema && \

pip install jupyter && \

pip install jupyter-client && \

pip install jupyter-console && \

pip install jupyter-core && \

pip install MarkupSafe && \

pip install mistune && \

pip install nbconvert && \

pip install nbformat && \

pip install notebook==5.5.0 && \

pip install olefile && \

pip install kornia && \

pip install pandas_summary && \

pip install pandocfilters && \

pip install pexpect && \

pip install pickleshare && \

# b/160263325: the version included in the m46 base image has a known issue.

pip install --upgrade Pillow && \

# Install openslide and its python binding

apt-get install -y openslide-tools && \

pip install openslide-python && \

pip install ptyprocess && \

pip install Pygments && \

pip install pyparsing && \

pip install pytz && \

pip install PyYAML && \

pip install pyzmq && \

pip install qtconsole && \

pip install six && \

pip install terminado && \

# Latest version (6.0) of tornado breaks Jupyter notebook:

# https://github.com/jupyter/notebook/issues/4439

pip install tornado==5.0.2 && \

pip install tqdm && \

pip install traitlets && \

pip install wcwidth && \

pip install webencodings && \

pip install widgetsnbextension && \

pip install pyarrow && \

pip install feather-format && \

pip install fastai && \

pip install allennlp && \

python -m spacy download en && python -m spacy download en_core_web_lg && \

apt-get install -y ffmpeg && \

/tmp/clean-layer.sh

###########

#

# NEW CONTRIBUTORS:

# Please add new pip/apt installs in this block. Don't forget a "&& \" at the end

# of all non-final lines. Thanks!

#

###########

RUN pip install flashtext && \

pip install wandb && \

pip install marisa-trie && \

pip install pyemd && \

pip install pyupset && \

pip install pympler && \

pip install s3fs && \

pip install featuretools && \

pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \

pip install hpsklearn && \

pip install git+https://github.com/Kaggle/learntools && \

pip install kmapper && \

pip install shap && \

pip install ray && \

pip install gym && \

# b/167220714 unpin once matplotlib >= 3.3 is installed in the base image.

pip install tensorforce==0.5.5 && \

pip install pyarabic && \

pip install pandasql && \

pip install tensorflow_hub && \

pip install jieba && \

pip install git+https://github.com/SauceCat/PDPbox && \

# ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668

pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \

pip install cesium && \

pip install rgf_python && \

# b/145404107: latest version force specific version of numpy and torch.

pip install pytext-nlp==0.1.2 && \

pip install tsfresh && \

pip install pykalman && \

pip install optuna && \

pip install chainercv && \

pip install chainer-chemistry && \

pip install plotly_express && \

pip install albumentations && \

pip install catalyst && \

# b/162850432 prevent matplotlib upgrade.

pip install osmnx==0.15.1 && \

apt-get -y install libspatialindex-dev && \

pip install pytorch-ignite && \

pip install qgrid && \

pip install bqplot && \

pip install earthengine-api && \

pip install transformers && \

pip install dlib && \

pip install kaggle-environments && \

pip install geopandas && \

pip install nnabla && \

pip install vowpalwabbit && \

# papermill can replace nbconvert for executing notebooks

pip install papermill && \

pip install cloud-tpu-client && \

pip install tensorflow-cloud && \

pip install tensorflow-datasets && \

pip install pydub && \

pip install pydegensac && \

pip install pytorch-lightning && \

pip install datatable && \

/tmp/clean-layer.sh

# Tesseract and some associated utility packages

RUN apt-get install tesseract-ocr -y && \

pip install pytesseract && \

pip install wand==0.5.3 && \

pip install pdf2image && \

pip install PyPDF && \

pip install pyocr && \

/tmp/clean-layer.sh

ENV TESSERACT_PATH=/usr/bin/tesseract

# For Facets

ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/

# For Theano with MKL

ENV MKL_THREADING_LAYER=GNU

# Temporary fixes and patches

# Temporary patch for Dask getting downgraded, which breaks Keras

RUN pip install --upgrade dask && \

# Stop jupyter nbconvert trying to rewrite its folder hierarchy

mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \

mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

# Stop Matplotlib printing junk to the console on first load

sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.7/site-packages/matplotlib/font_manager.py && \

# Make matplotlib output in Jupyter notebooks display correctly

mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \

# Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.

ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \

/tmp/clean-layer.sh

# gcloud SDK https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu

RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.cloud.google.com/apt cloud-sdk main" \

| tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \

curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \

apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \

apt-get update -y && apt-get install google-cloud-sdk -y && \

/tmp/clean-layer.sh

# Add BigQuery client proxy settings

ENV PYTHONUSERBASE "/root/.local"

ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py

ADD patches/kaggle_secrets.py /root/.local/lib/python3.7/site-packages/kaggle_secrets.py

ADD patches/kaggle_session.py /root/.local/lib/python3.7/site-packages/kaggle_session.py

ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle_web_client.py

ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py

ADD patches/log.py /root/.local/lib/python3.7/site-packages/log.py

ADD patches/sitecustomize.py /root/.local/lib/python3.7/site-packages/sitecustomize.py

# Override default imagemagick policies

ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml

# TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have

# worker tunneling support in place.

# b/139212522 re-enable TensorBoard once solution for slowdown is implemented.

# ENV JUPYTER_CONFIG_DIR "/root/.jupyter/"

# RUN pip install jupyter_tensorboard && \

# jupyter serverextension enable jupyter_tensorboard && \

# jupyter tensorboard enable

# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py

# Disable unnecessary jupyter extensions

RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \

jupyter-serverextension disable nb_conda --py --sys-prefix && \

python -m nb_conda_kernels.install --disable && \

jupyter-nbextension disable nbpresent --py --sys-prefix && \

jupyter-serverextension disable nbpresent --py --sys-prefix

# Set backend for matplotlib

ENV MPLBACKEND "agg"

# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.

# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact

ARG TENSORFLOW_VERSION

ARG GIT_COMMIT=unknown

ARG BUILD_DATE=unknown

LABEL git-commit=$GIT_COMMIT

LABEL build-date=$BUILD_DATE

LABEL tensorflow-version=$TENSORFLOW_VERSION

# Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.

LABEL kaggle-lang=python

# Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.

RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date