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[dev] remove unused dockerfiles (#7398)

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This commit is contained in:
Rhett Ying
2024-05-11 10:39:29 +08:00
committed by GitHub
parent c35a8d5613
commit 9fde953d4b
3 changed files with 0 additions and 95 deletions
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22
docker/Dockerfile.ci_cpu_torch_1.2.0
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# CI docker CPU env
# Adapted from github.com/dmlc/tvm/docker/Dockerfile.ci_cpu
FROM ubuntu:16.04
RUN apt-get update --fix-missing
COPY install/ubuntu_install_core.sh /install/ubuntu_install_core.sh
RUN bash /install/ubuntu_install_core.sh
COPY install/ubuntu_install_build.sh /install/ubuntu_install_build.sh
RUN bash /install/ubuntu_install_build.sh
# python
COPY install/ubuntu_install_conda.sh /install/ubuntu_install_conda.sh
RUN bash /install/ubuntu_install_conda.sh
ENV CONDA_ALWAYS_YES="true"
COPY install/conda_env/kg_cpu.yml /install/conda_env/kg_cpu.yml
RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/kg_cpu.yml"]
ENV CONDA_ALWAYS_YES=

41
docker/Dockerfile.ci_gpu_cu101
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# CI docker GPU env
FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
ENV TZ=US
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
RUN apt-get update --fix-missing
COPY install/ubuntu_install_core.sh /install/ubuntu_install_core.sh
RUN bash /install/ubuntu_install_core.sh
COPY install/ubuntu_install_build.sh /install/ubuntu_install_build.sh
RUN bash /install/ubuntu_install_build.sh
# python
COPY install/ubuntu_install_conda.sh /install/ubuntu_install_conda.sh
RUN bash /install/ubuntu_install_conda.sh
ENV CONDA_ALWAYS_YES="true"
COPY install/conda_env/torch_gpu.yml /install/conda_env/torch_gpu.yml
COPY install/conda_env/torch_gpu_pip.txt /install/conda_env/torch_gpu_pip.txt
RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/torch_gpu.yml"]
COPY install/conda_env/tensorflow_gpu.yml /install/conda_env/tensorflow_gpu.yml
RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/tensorflow_gpu.yml"]
COPY install/conda_env/mxnet_gpu.yml /install/conda_env/mxnet_gpu.yml
RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/mxnet_gpu.yml"]
ENV CONDA_ALWAYS_YES=
# Environment variables
ENV PATH=/usr/local/nvidia/bin:${PATH}
ENV PATH=/usr/local/cuda/bin:${PATH}
ENV CPLUS_INCLUDE_PATH=/usr/local/cuda/include:${CPLUS_INCLUDE_PATH}
ENV C_INCLUDE_PATH=/usr/local/cuda/include:${C_INCLUDE_PATH}
ENV LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LIBRARY_PATH}
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}
ENV CUDA_VISIBLE_DEVICES=0
ENV TF_FORCE_GPU_ALLOW_GROWTH=true

32
docker/Dockerfile.ci_gpu_torch_1.2.0
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# CI docker GPU env
FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04
RUN apt-get update --fix-missing
COPY install/ubuntu_install_core.sh /install/ubuntu_install_core.sh
RUN bash /install/ubuntu_install_core.sh
COPY install/ubuntu_install_build.sh /install/ubuntu_install_build.sh
RUN bash /install/ubuntu_install_build.sh
# python
COPY install/ubuntu_install_conda.sh /install/ubuntu_install_conda.sh
RUN bash /install/ubuntu_install_conda.sh
ENV CONDA_ALWAYS_YES="true"
COPY install/conda_env/kg_gpu.yml /install/conda_env/kg_gpu.yml
RUN ["/bin/bash", "-i", "-c", "conda env create -f /install/conda_env/kg_gpu.yml"]
ENV CONDA_ALWAYS_YES=
COPY install/FB15k.zip /data/kg/FB15k.zip
RUN cd /data/kg && unzip FB15k.zip
# Environment variables
ENV PATH=/usr/local/nvidia/bin:${PATH}
ENV PATH=/usr/local/cuda/bin:${PATH}
ENV CPLUS_INCLUDE_PATH=/usr/local/cuda/include:${CPLUS_INCLUDE_PATH}
ENV C_INCLUDE_PATH=/usr/local/cuda/include:${C_INCLUDE_PATH}
ENV LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LIBRARY_PATH}
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}