mirror of
https://github.com/vale981/ray
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15 lines
659 B
Docker
15 lines
659 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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RUN apt-get install -y zlib1g-dev
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RUN pip install gym[atari] opencv-python-headless tensorflow lz4 keras pytest-timeout smart_open
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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 git+git://github.com/hyperopt/hyperopt.git
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RUN pip install --upgrade sigopt
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# RUN pip install --upgrade nevergrad
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RUN pip install --upgrade scikit-optimize
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RUN conda install pytorch-cpu torchvision-cpu -c pytorch
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