43 lines
1.4 KiB
Docker
43 lines
1.4 KiB
Docker
ARG CUDA_VERSION=10.1
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FROM nvidia/cuda:${CUDA_VERSION}-base
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# install versions
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ARG PYTHON_VERSION=3.7
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ARG PYTORCH_VERSION=1.4
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ARG LIGHTNING_VERSION=master
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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cmake \
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git \
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curl \
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ca-certificates
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# add non-root user
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RUN useradd --create-home --shell /bin/bash containeruser
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USER containeruser
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WORKDIR /home/containeruser
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# install conda and python
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RUN curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-4.7.12-Linux-x86_64.sh && \
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chmod +x ~/miniconda.sh && \
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~/miniconda.sh -b -p /home/containeruser/conda && \
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rm ~/miniconda.sh && \
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/home/containeruser/conda/bin/conda clean -ya && \
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/home/containeruser/conda/bin/conda install -y python=$PYTHON_VERSION
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# add conda to path
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ENV PATH /home/containeruser/conda/bin:$PATH
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# install dependencies
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RUN pip install torch==$PYTORCH_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
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git clone https://github.com/PyTorchLightning/pytorch-lightning.git --single-branch --branch $LIGHTNING_VERSION && \
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pip install ./pytorch-lightning && \
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pip install -r pytorch-lightning/requirements/extra.txt && \
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rm -rf pytorch-lightning
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RUN python -c "import pytorch_lightning as pl; print(pl.__version__)"
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CMD ["/bin/bash"]
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