towhee

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GPUDockerfile 
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ARG BASE_IMAGE=nvidia/cuda:11.7.1-base-ubuntu20.04
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ARG PYTHON_VERSION=3.8
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# base image, build command: 
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# docker build --platform x86_64 --target towhee-base  -t towhee/towhee-base:latest .
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FROM ${BASE_IMAGE} as towhee-base
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# Speed ​​up for Chinese users, only if user specified `USE_MIRROR=true`
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# In addition, use the default software source of the base image and language
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ARG USE_MIRROR=false
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ENV USE_MIRROR=${USE_MIRROR}
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ARG UBUNTU_MIRROR="mirrors.tuna.tsinghua.edu.cn"
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ENV UBUNTU_MIRROR=${UBUNTU_MIRROR}
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RUN if [ "$USE_MIRROR" = "true" ]; then sed -i -e "s/archive.ubuntu.com/${UBUNTU_MIRROR}/" /etc/apt/sources.list && sed -i -e "s/security.ubuntu.com/${UBUNTU_MIRROR}/" /etc/apt/sources.list; fi
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RUN --mount=type=cache,id=apt-dev,target=/var/cache/apt \
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    apt-get update && apt-get install -y --no-install-recommends ca-certificates curl git && \
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    apt autoremove && apt clean
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ENV PATH /opt/conda/bin:$PATH
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# conda image, build command: 
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# docker build --platform x86_64 --target towhee-conda  -t towhee/towhee-conda:latest .
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FROM towhee-base as towhee-conda
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ARG PYTHON_VERSION=3.8
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ARG CUDA_VERSION=11.3
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ARG CUDA_CHANNEL=nvidia
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ARG INSTALL_CHANNEL=pytorch
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COPY requirements.txt .
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ARG CONDA_MIRROR="https://mirrors.tuna.tsinghua.edu.cn/anaconda"
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ENV CONDA_MIRROR=${CONDA_MIRROR}
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ENV CONDA_SRC="https://repo.anaconda.com/miniconda"
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RUN if [ "$USE_MIRROR" = "true" ]; then export CONDA_SRC="${CONDA_MIRROR}/miniconda"; fi && \
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    curl -fsSL -v -o ~/miniconda.sh -O  "$CONDA_SRC/Miniconda3-latest-Linux-x86_64.sh" && \
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    chmod +x ~/miniconda.sh && \
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    ~/miniconda.sh -b -p /opt/conda && \
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    rm ~/miniconda.sh && \
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    if [ "$USE_MIRROR" = "true" ]; then \
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        echo "channels:" > $HOME/.condarc && \
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        echo "  - ${CONDA_MIRROR}/pkgs/free/" >> $HOME/.condarc && \
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        echo "  - ${CONDA_MIRROR}/pkgs/main/" >> $HOME/.condarc && \
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        echo "  - ${CONDA_MIRROR}/cloud/pytorch/" >> $HOME/.condarc && \
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        echo "  - defaults" >> $HOME/.condarc && \
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        echo "show_channel_urls: true" >> $HOME/.condarc; \
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    fi
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RUN /opt/conda/bin/conda install -y python=${PYTHON_VERSION} cmake conda-build pyyaml numpy ipython
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ENV CONDA_OVERRIDE_CUDA=${CUDA_VERSION}
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RUN /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y python=${PYTHON_VERSION} pytorch torchvision torchaudio torchtext "cudatoolkit=${CUDA_VERSION}" && \
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    /opt/conda/bin/conda clean -ya
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# ut image, build command: 
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# docker build --platform x86_64 --target towhee-ut  -t towhee/towhee-ut:latest .
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FROM towhee-conda as towhee-ut
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends -y ffmpeg libsm6 libxext6
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RUN pip install coverage pytest pytest-cov pytest-xdist
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WORKDIR /workspace

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