ARG BASE_TAG=latest
ARG TENSORFLOW_VERSION=2.2.0
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 && \
# enum34 is a backport of the Python 3.4 enum class to Python < 3.4.
# No need since we are using Python 3.7. This is causing errors for packages
# expecting the 3.7 version of enum. e.g. AttributeError: module 'enum' has no attribute 'IntFlag'
pip uninstall -y enum34 && \
/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.
conda install matplotlib basemap cartopy python-igraph imagemagick pysal && \
# b/142337634#comment22 pin required to avoid torchaudio downgrade.
conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cpuonly && \
/tmp/clean-layer.sh
# The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
# b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
RUN pip install distributed==2.10.0 && \
pip install seaborn python-dateutil dask && \
pip install pyyaml joblib pytagcloud 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 git+git://github.com/Lasagne/Lasagne.git && \
pip install keras && \
pip install flake8 && \
#neon
cd /usr/local/src && \
git clone --depth 1 https://github.com/NervanaSystems/neon.git && \
cd neon && pip install . && \
#nolearn
pip install nolearn && \
pip install Theano && \
pip install pybrain && \
pip install python-Levenshtein && \
pip install hep_ml && \
# chainer
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 && \
# Convex Optimization library
# Latest version fails to install, see https://github.com/cvxopt/cvxopt/issues/77
# and https://github.com/cvxopt/cvxopt/issues/80
# pip install cvxopt && \
# 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 mplleaflet && \
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 Baker && \
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 sacred && \
pip install plotly && \
pip install hyperopt && \
pip install fitter && \
pip install langid && \
# Delorean. Useful for dealing with datetime
pip install delorean && \
pip install trueskill && \
pip install heamy && \
# Useful data exploration libraries (for missing data and generating reports)
pip install missingno && \
pip install pandas-profiling && \
pip install s2sphere && \
pip install git+https://github.com/fmfn/BayesianOptimization.git && \
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 tifffile && \
pip install spectral && \
pip install descartes && \
pip install geojson && \
pip install terminalplot && \
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 nibabel && \
pip install mlens && \
pip install scikit-multilearn && \
pip install cleverhans && \
pip install leven && \
pip install catboost && \
# fastFM doesn't support Python 3.7 yet: https://github.com/ibayer/fastFM/issues/151
# pip install fastFM && \
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 dask-ml[xgboost] && \
pip install kaggle && \
/tmp/clean-layer.sh
RUN pip install kmeans-smote --no-dependencies && \
# 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 tensorpack && \
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 && \
# Need to use CountEncoder from category_encoders before it's officially released
pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
pip install google-cloud-automl && \
# 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 pyahocorasick && \
pip install wordbatch && \
pip install emoji && \
# Add Japanese morphological analysis engine
pip install janome && \
pip install wfdb && \
pip install vecstack && \
# Doesn't support Python 3.7 yet. Last release on pypi is from 2017.
# Add back once this PR is released: https://github.com/scikit-learn-contrib/lightning/pull/133
# pip install sklearn-contrib-lightning && \
# yellowbrick machine learning visualization library
pip install yellowbrick && \
pip install mlcrate && \
/tmp/clean-layer.sh
RUN pip install bcolz && \
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 opencv-python && \
pip install kornia && \
pip install pandas_summary && \
pip install pandocfilters && \
pip install pexpect && \
pip install pickleshare && \
pip install Pillow && \
# Install openslide and its python binding
apt-get install -y openslide-tools && \
# b/152402322 install latest from pip once is in: https://github.com/openslide/openslide-python/pull/76
pip install git+git://github.com/rosbo/openslide-python.git@fix-setup && \
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 torchtext && \
pip install allennlp && \
# b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
pip install spacy==2.2.3 && 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 && \
pip install tensorforce && \
pip install pyarabic && \
pip install conx && \
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 && \
pip install osmnx && \
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 && \
# b/149905611 The geopandas tests are broken with the version 0.7.0
pip install geopandas==0.6.3 && \
pip install nnabla && \
pip install vowpalwabbit && \
# papermill can replace nbconvert for executing notebooks
pip install papermill && \
pip install cloud-tpu-client && \
/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_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 && \
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