dmlc--dgl
Jinjing Zhou
704ec68576
* add script * 21 * log * fix regression tests * add iter time * fix * Revert "fix" This reverts commit 9b4587ad61dfeb82dcce6d1de188809f62947663. * fix * fix * add * add ogb instruction * add cu11 dockerfile * fix * fix * more iter apply_edge * add iteration time Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
38 行
1.5 KiB
Docker
38 行
1.5 KiB
Docker
# CI docker GPU env
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FROM nvidia/cuda:11.2.1-cudnn8-devel-ubuntu16.04
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RUN apt-get update --fix-missing
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COPY install/ubuntu_install_core.sh /install/ubuntu_install_core.sh
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RUN bash /install/ubuntu_install_core.sh
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COPY install/ubuntu_install_build.sh /install/ubuntu_install_build.sh
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RUN bash /install/ubuntu_install_build.sh
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# python
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COPY install/ubuntu_install_conda.sh /install/ubuntu_install_conda.sh
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RUN bash /install/ubuntu_install_conda.sh
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ENV CONDA_ALWAYS_YES="true"
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COPY install/conda_env/torch_gpu.yml /install/conda_env/torch_gpu.yml
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COPY install/conda_env/torch_gpu_pip_latest.txt /install/conda_env/torch_gpu_pip.txt
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RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/torch_gpu.yml"]
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# COPY install/conda_env/tensorflow_gpu.yml /install/conda_env/tensorflow_gpu.yml
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# RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/tensorflow_gpu.yml"]
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# COPY install/conda_env/mxnet_gpu.yml /install/conda_env/mxnet_gpu.yml
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# RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/mxnet_gpu.yml"]
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ENV CONDA_ALWAYS_YES=
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# Environment variables
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ENV PATH=/usr/local/nvidia/bin:${PATH}
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ENV PATH=/usr/local/cuda/bin:${PATH}
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ENV CPLUS_INCLUDE_PATH=/usr/local/cuda/include:${CPLUS_INCLUDE_PATH}
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ENV C_INCLUDE_PATH=/usr/local/cuda/include:${C_INCLUDE_PATH}
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ENV LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LIBRARY_PATH}
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ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}
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ENV CUDA_VISIBLE_DEVICES=0
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ENV TF_FORCE_GPU_ALLOW_GROWTH=true |