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3f4d88b
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2f0420a
remove legacy files
Browse files- legacy/Dockerfile +0 -126
legacy/Dockerfile
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FROM nvidia/cuda:12.8.1-devel-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive \
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TZ=Europe/Paris
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# for headless GPU rendering
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ENV MUJOCO_GL="egl"
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ENV PYOPENGL_PLATFORM="egl"
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#requirements for headless GPU rendering, see also https://github.com/mmatl/pyrender/issues/149
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,graphics,utility,video
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# Remove any third-party apt sources to avoid issues with expiring keys.
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# Install some basic utilities
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RUN rm -f /etc/apt/sources.list.d/*.list && \
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apt-get update && apt-get install -y --no-install-recommends \
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curl \
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ca-certificates \
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sudo \
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git \
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wget \
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procps \
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git-lfs \
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zip \
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unzip \
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htop \
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vim \
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nano \
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bzip2 \
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libx11-6 \
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# if the next line does not work, we can also try this: libegl1-mesa-dev
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libegl1 \
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libgles2 \
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build-essential \
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libsndfile-dev \
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software-properties-common \
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&& rm -rf /var/lib/apt/lists/*
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RUN echo '{"file_format_version": "1.0.0", "ICD": {"library_path": "libEGL_nvidia.so.0"}}' >> /usr/share/glvnd/egl_vendor.d/10_nvidia.json
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RUN add-apt-repository ppa:flexiondotorg/nvtop && \
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apt-get upgrade -y && \
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apt-get install -y --no-install-recommends nvtop
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RUN curl -fsSL https://deb.nodesource.com/setup_22.x | sudo bash - && \
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apt-get install -y nodejs && \
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npm install -g configurable-http-proxy
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# Create a working directory
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WORKDIR /app
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# Create a non-root user and switch to it
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RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
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&& chown -R user:user /app
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RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
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USER user
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# All users can use /home/user as their home directory
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ENV HOME=/home/user
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RUN mkdir $HOME/.cache $HOME/.config \
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&& chmod -R 777 $HOME
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# Set up the Conda environment
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ENV CONDA_AUTO_UPDATE_CONDA=false \
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PATH=$HOME/miniconda/bin:$PATH
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RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-py313_25.5.1-0-Linux-x86_64.sh \
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&& chmod +x ~/miniconda.sh \
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&& ~/miniconda.sh -b -p ~/miniconda \
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&& rm ~/miniconda.sh \
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&& conda clean -ya
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ENV CONDA_OVERRIDE_CUDA="12.8"
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# Make sure that Jax and cuSPARSE are properly installed for CUDA 12.x
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RUN conda install nvidia/label/cuda-12.8.1::cuda-toolkit nvidia/label/cuda-12.8.1::libcusparse
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RUN conda install "jaxlib=*=*cuda*" jax -c conda-forge
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WORKDIR $HOME/app
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#######################################
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# Start root user section
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#######################################
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USER root
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# User Debian packages
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## Security warning : Potential user code executed as root (build time)
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RUN --mount=target=/root/packages.txt,source=packages.txt \
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apt-get update && \
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xargs -r -a /root/packages.txt apt-get install -y --no-install-recommends \
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&& rm -rf /var/lib/apt/lists/*
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RUN --mount=target=/root/on_startup.sh,source=on_startup.sh,readwrite \
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bash /root/on_startup.sh
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RUN mkdir /data && chown user:user /data
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RUN mkdir /data/samples && chown user:user /data/samples
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#######################################
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# End root user section
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#######################################
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USER user
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# Python packages
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RUN --mount=target=requirements.txt,source=requirements.txt \
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pip install --no-cache-dir --upgrade -r requirements.txt
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# Copy the current directory contents into the container at $HOME/app setting the owner to the user
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COPY --chown=user . $HOME/app
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RUN chmod +x start_server.sh
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COPY --chown=user login.html /home/user/miniconda/lib/python3.13/site-packages/jupyter_server/templates/login.html
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COPY --chown=user samples/ /data/samples/
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ENV PYTHONUNBUFFERED=1 \
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GRADIO_ALLOW_FLAGGING=never \
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GRADIO_NUM_PORTS=1 \
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GRADIO_SERVER_NAME=0.0.0.0 \
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GRADIO_THEME=huggingface \
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SYSTEM=spaces \
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SHELL=/bin/bash
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CMD ["./start_server.sh"]
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