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ARG BASE_IMAGE_REPO

ARG BASE_IMAGE_TAG

ARG CPU_BASE_IMAGE_NAME

ARG GPU_BASE_IMAGE_NAME

ARG LIGHTGBM_VERSION

ARG TORCH_VERSION

ARG TORCHAUDIO_VERSION

ARG TORCHTEXT_VERSION

ARG TORCHVISION_VERSION

FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl

FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl

FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}

ENV CUDA_MAJOR_VERSION=11

ENV CUDA_MINOR_VERSION=0

# NVIDIA binaries from the host are mounted to /opt/bin.

ENV PATH=/opt/bin:${PATH}

# Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.

ENV LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH"

ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"

RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1

FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}

# Keep these variables in sync if base image is updated.

ENV TENSORFLOW_VERSION=2.6.0

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

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

ARG LIGHTGBM_VERSION

ARG TORCH_VERSION

ARG TORCHAUDIO_VERSION

ARG TORCHTEXT_VERSION

ARG TORCHVISION_VERSION

# Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0

# See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information

ENV KMP_WARNINGS=0

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

# Add permissions to resolve the error

RUN chmod +x /tmp/clean-layer.sh

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

ADD patches/template_conf.json /opt/kaggle/conf.json

# b/200968891 Keeps horovod once torch is upgraded.

RUN pip uninstall -y horovod && \

/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 lightGBM (GPU build)

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

apt-get install -y build-essential unzip cmake libboost-dev libboost-system-dev libboost-filesystem-dev && \

# b/182601974: ssh client was removed from the base image but is required for packages such as stable-baselines.

apt-get install -y openssh-client && \

/tmp/clean-layer.sh

# 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/

RUN conda config --add channels nvidia && \

conda config --add channels rapidsai && \

# Base image channel order: conda-forge (highest priority), defaults.

# End state: rapidsai (highest priority), nvidia, conda-forge, defaults.

conda install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \

/tmp/clean-layer.sh

RUN conda install cudf=21.08 cuml=21.08 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \

/tmp/clean-layer.sh

# Install PyTorch

COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/

RUN pip install /tmp/torch/*.whl && \

rm -rf /tmp/torch && \

/tmp/clean-layer.sh

RUN pip install torch==$TORCH_VERSION+cpu torchvision==$TORCHVISION_VERSION+cpu torchaudio==$TORCHAUDIO_VERSION torchtext==$TORCHTEXT_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \

/tmp/clean-layer.sh

# Install LightGBM

COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/

# Install OpenCL (required by LightGBM GPU version)

RUN apt-get install -y ocl-icd-libopencl1 clinfo && \

mkdir -p /etc/OpenCL/vendors && \

echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \

pip install /tmp/lightgbm/*.whl && \

rm -rf /tmp/lightgbm && \

/tmp/clean-layer.sh

RUN pip install lightgbm==$LIGHTGBM_VERSION && \

/tmp/clean-layer.sh

# Install JAX

ENV JAX_VERSION=0.2.19

RUN pip install jax[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION]==$JAX_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \

/tmp/clean-layer.sh

RUN pip install jax[cpu]==$JAX_VERSION && \

/tmp/clean-layer.sh

# Install mxnet

RUN pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \

/tmp/clean-layer.sh

RUN pip install mxnet && \

/tmp/clean-layer.sh

# Install GPU specific packages

# Install GPU-only packages

RUN pip install pycuda && \

pip install pynvrtc && \

# b/190622765 latest version is causing issue. nnabla fixed it in https://github.com/sony/nnabla/issues/892, waiting for new release before we can remove this pin.

pip install pynvml==8.0.4 && \

pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \

/tmp/clean-layer.sh

RUN pip install pysal && \

pip install seaborn python-dateutil dask python-igraph && \

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 && \

pip install tensorflow-gcs-config==2.6.0 && \

pip install tensorflow-addons==0.14.0 && \

/tmp/clean-layer.sh

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

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

# b/198300835 kornia 4.1.0 is not compatible with our version of numpy.

pip install gensim==4.0.1 && \

pip install textblob && \

pip install wordcloud && \

pip install xgboost && \

pip install pydot && \

pip install flake8 && \

# Pinned because it breaks theano test with the latest version (b/178107003).

pip install theano-pymc==1.0.11 && \

pip install python-Levenshtein && \

pip install hep_ml && \

# 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 gluonnlp && \

pip install gluoncv && \

/tmp/clean-layer.sh

RUN pip install scipy && \

# b/176817038 avoid upgrade to 0.24 which is causing issues with hep-ml package.

pip install scikit-learn==0.23.2 && \

# 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 && \

# b/184083722 pyldavis >= 3.3 requires numpy >= 1.20.0 but TensorFlow 2.4.1 / 2.5.0 requires 1.19.2

pip install pyldavis==3.2.2 && \

pip install mlxtend && \

pip install altair && \

# b/183944405 pystan 3.x is not compatible with fbprophet.

pip install pystan==2.19.1.1 && \

pip install ImageHash && \

pip install ecos && \

pip install CVXcanon && \

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 && \

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 && \

pip install google-cloud-bigquery==2.2.0 && \

pip install google-cloud-storage && \

pip install google-cloud-translate==3.* && \

pip install google-cloud-language==2.* && \

pip install google-cloud-videointelligence==2.* && \

pip install google-cloud-vision==2.* && \

# b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.

pip uninstall -y google-cloud-bigquery-storage && \

# After launch this should be installed from pip

pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release && \

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 && \

pip install ipykernel && \

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-client && \

pip install jupyter-console && \

pip install jupyter-core && \

pip install MarkupSafe && \

pip install mistune && \

pip install nbconvert && \

pip install nbformat && \

pip install notebook && \

pip install papermill && \

pip install olefile && \

# b/198300835 kornia 0.5.10 is not compatible with our version of numpy.

pip install kornia==0.5.8 && \

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 && \

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 && \

pip install tornado && \

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 && \

# https://b.corp.google.com/issues/184685619#comment9: 3.9.0 is causing a major performance degradation with spacy 2.3.5

pip install importlib-metadata==3.4.0 && \

python -m spacy download en_core_web_sm && 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 vaex && \

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 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 && \

pip install tsfresh && \

# b/204442455 unpin once tsfresh is compatible with latest version of statsmodels.

pip install statsmodels==0.12.2 && \

pip install pykalman && \

pip install optuna && \

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 && \

pip install geopandas && \

pip install nnabla && \

pip install vowpalwabbit && \

pip install pydub && \

pip install pydegensac && \

# b/198635596 latest versions of torchmetrics & pytorch-lightning are failing at runtime.

pip install torchmetrics==0.5.0 && \

pip install pytorch-lightning==1.4.4 && \

pip install datatable && \

pip install sympy && \

# flask is used by agents in the simulation competitions.

pip install flask && \

# pycrypto is used by competitions team.

pip install pycrypto && \

pip install easyocr && \

# ipympl adds interactive widget support for matplotlib

pip install ipympl==0.7.0 && \

pip install pandarallel && \

/tmp/clean-layer.sh

# Download base easyocr models.

# https://github.com/JaidedAI/EasyOCR#usage

RUN mkdir -p /root/.EasyOCR/model && \

wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/latin_g2.zip" -O /root/.EasyOCR/model/latin.zip && \

unzip /root/.EasyOCR/model/latin.zip -d /root/.EasyOCR/model/ && \

rm /root/.EasyOCR/model/latin.zip && \

wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/english_g2.zip" -O /root/.EasyOCR/model/english.zip && \

unzip /root/.EasyOCR/model/english.zip -d /root/.EasyOCR/model/ && \

rm /root/.EasyOCR/model/english.zip && \

wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/craft_mlt_25k.zip" -O /root/.EasyOCR/model/craft_mlt_25k.zip && \

unzip /root/.EasyOCR/model/craft_mlt_25k.zip -d /root/.EasyOCR/model/ && \

rm /root/.EasyOCR/model/craft_mlt_25k.zip && \

/tmp/clean-layer.sh

# Tesseract and some associated utility packages

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

pip install pytesseract && \

pip install wand && \

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

# 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

# Set backend for matplotlib

ENV MPLBACKEND "agg"

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

# Remove the CUDA stubs.

ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"

docker-python/Dockerfile.tmpl at main · magic-sword/docker-python · GitHub

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