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Created February 3, 2022 08:20
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Sample Dockerfiles for TensorFlow & PyTorch
ARG UBUNTU_VERSION=20.04
ARG CUDA_VERSION=11.3.1
ARG CUDA=11.3
ARG CUDNN_VERSION=8
FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu${UBUNTU_VERSION}
LABEL maintainer "http://gzupark.dev"
ARG CUDA_VERSION
ARG CUDA
ARG UID=
ARG USER_NAME=
ARG PYTHON_VERSION=3.8
ARG CONDA_ENV_NAME=torch
# Let us install tzdata painlessly
ENV DEBIAN_FRONTEND=noninteractive
# Needed for string substitution
SHELL ["/bin/bash", "-c"]
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
ccache \
cmake \
curl \
git \
libfreetype6-dev \
libhdf5-serial-dev \
libzmq3-dev \
libjpeg-dev \
libpng-dev \
libsm6 \
libxext6 \
libxrender-dev \
pkg-config \
software-properties-common \
ssh \
sudo \
unzip \
vim \
wget
RUN rm -rf /var/lib/apt/lists/*
# For CUDA profiling
ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA}/targets/x86_64-linux/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
echo "/usr/local/cuda/lib64/stubs" > /etc/ld.so.conf.d/z-cuda-stubs.conf && \
ldconfig
# See http://bugs.python.org/issue19846
ENV LANG C.UTF-8
RUN curl -o /tmp/miniconda.sh -sSL http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x /tmp/miniconda.sh && \
bash /tmp/miniconda.sh -bfp /usr/local && \
rm /tmp/miniconda.sh
RUN conda update -y conda
# Create a user
RUN adduser $USER_NAME -u $UID --quiet --gecos "" --disabled-password && \
echo "$USER_NAME ALL=(root) NOPASSWD:ALL" > /etc/sudoers.d/$USER_NAME && \
chmod 0440 /etc/sudoers.d/$USER_NAME
# For connecting via ssh
RUN echo "PasswordAuthentication yes" >> /etc/ssh/sshd_config && \
echo "PermitEmptyPasswords yes" >> /etc/ssh/sshd_config && \
echo "UsePAM no" >> /etc/ssh/sshd_config
USER $USER_NAME
SHELL ["/bin/bash", "-c"]
# Create the conda environment
RUN conda create -n $CONDA_ENV_NAME python=$PYTHON_VERSION
ENV PATH /usr/local/envs/$CONDA_ENV_NAME/bin:$PATH
RUN echo "source activate ${CONDA_ENV_NAME}" >> ~/.bashrc
# Enable jupyter lab
RUN source activate ${CONDA_ENV_NAME} && \
conda install -c conda-forge jupyterlab && \
jupyter serverextension enable --py jupyterlab --sys-prefix
# Install the packages
RUN source activate ${CONDA_ENV_NAME} && \
conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
ARG UBUNTU_VERSION=20.04
ARG CUDA_VERSION=11.3.1
ARG CUDA=11.3
ARG CUDNN_VERSION=8
FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu${UBUNTU_VERSION}
LABEL maintainer "http://gzupark.dev"
ARG CUDA_VERSION
ARG CUDA
ARG UID=
ARG USER_NAME=
ARG PYTHON_VERSION=3.8
ARG CONDA_ENV_NAME=tf
ARG TF_VERSION=2.7.1
# Let us install tzdata painlessly
ENV DEBIAN_FRONTEND=noninteractive
# Needed for string substitution
SHELL ["/bin/bash", "-c"]
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
ccache \
cmake \
curl \
git \
libfreetype6-dev \
libhdf5-serial-dev \
libzmq3-dev \
libjpeg-dev \
libpng-dev \
libsm6 \
libxext6 \
libxrender-dev \
pkg-config \
software-properties-common \
ssh \
sudo \
unzip \
vim \
wget
RUN rm -rf /var/lib/apt/lists/*
# For CUDA profiling
ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA}/targets/x86_64-linux/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
echo "/usr/local/cuda/lib64/stubs" > /etc/ld.so.conf.d/z-cuda-stubs.conf && \
ldconfig
# See http://bugs.python.org/issue19846
ENV LANG C.UTF-8
RUN curl -o /tmp/miniconda.sh -sSL http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x /tmp/miniconda.sh && \
bash /tmp/miniconda.sh -bfp /usr/local && \
rm /tmp/miniconda.sh
RUN conda update -y conda
# Create a user
RUN adduser $USER_NAME -u $UID --quiet --gecos "" --disabled-password && \
echo "$USER_NAME ALL=(root) NOPASSWD:ALL" > /etc/sudoers.d/$USER_NAME && \
chmod 0440 /etc/sudoers.d/$USER_NAME
# For connecting via ssh
RUN echo "PasswordAuthentication yes" >> /etc/ssh/sshd_config && \
echo "PermitEmptyPasswords yes" >> /etc/ssh/sshd_config && \
echo "UsePAM no" >> /etc/ssh/sshd_config
USER $USER_NAME
SHELL ["/bin/bash", "-c"]
# Create the conda environment
RUN conda create -n $CONDA_ENV_NAME python=$PYTHON_VERSION
ENV PATH /usr/local/envs/$CONDA_ENV_NAME/bin:$PATH
RUN echo "source activate ${CONDA_ENV_NAME}" >> ~/.bashrc
# Enable jupyter lab
RUN source activate ${CONDA_ENV_NAME} && \
conda install -c conda-forge jupyterlab && \
jupyter serverextension enable --py jupyterlab --sys-prefix
# Install the packages
RUN source activate ${CONDA_ENV_NAME} && \
python -m pip install --no-cache-dir tensorflow-gpu==${TF_VERSION}
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