mirror of
https://github.com/wassname/ray.git
synced 2026-06-28 09:12:56 +08:00
daiyaanarfeen
8f6d73a93a
* raysgd * apply fn * double quotes * removed duplicate TimerStat * removed duplicate find_free_port * imports in pytorch_trainer * init doc * ray.experimental * remove resize example * resnet example * cifar * Fix up after kwargs * data_dir and dataloader_workers args * formatting * loss * init * update code * lint * smoketest * better_configs * fix * fix * fix * train_loader * fixdocs * ok * ok * fix * fix_update * fix * fix * done * fix * fix * fix * small * lint * fix * fix * fix_test * fix * validate * fix * fi
20 lines
941 B
Docker
20 lines
941 B
Docker
# The examples Docker image adds dependencies needed to run the examples
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FROM ray-project/deploy
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# This updates numpy to 1.14 and mutes errors from other libraries
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RUN conda install -y numpy
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# Needed to run Tune example with a 'plot' call - which does not actually render a plot, but throws an error.
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RUN apt-get install -y zlib1g-dev libgl1-mesa-dev
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# The following is needed to support TensorFlow 1.14
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RUN conda remove -y --force wrapt
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RUN pip install -U pip
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RUN pip install gym[atari] opencv-python-headless tensorflow lz4 keras pytest-timeout smart_open tensorflow_probability
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RUN pip install -U h5py # Mutes FutureWarnings
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RUN pip install --upgrade bayesian-optimization
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RUN pip install --upgrade hyperopt==0.1.2
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RUN pip install ConfigSpace==0.4.10
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RUN pip install --upgrade sigopt nevergrad scikit-optimize hpbandster lightgbm xgboost torch torchvision
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RUN pip install -U tabulate mlflow
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RUN pip install -U pytest-remotedata>=0.3.1
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