SEED-LLaMA / Dockerfile
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# Use the official Python 3.11 image
FROM nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && \
apt-get upgrade -y && \
apt-get install -y --no-install-recommends \
git \
git-lfs \
wget \
curl \
# python build dependencies \
build-essential \
libssl-dev \
zlib1g-dev \
libbz2-dev \
libreadline-dev \
libsqlite3-dev \
libncursesw5-dev \
xz-utils \
tk-dev \
libxml2-dev \
libxmlsec1-dev \
libffi-dev \
liblzma-dev \
# gradio dependencies \
ffmpeg && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# Copy the current directory contents into the container at /code
# COPY ./requirements.txt /code/requirements.txt
# RUN cat /code/requirements.txt
# Install requirements.txt
# RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# RUN pip install -r /code/requirements.txt
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
HF_HOME=/data/.huggingface \
TORCH_HOME=/data/.huggingface
# Set the working directory to the user's home directory
WORKDIR $HOME/app
RUN curl https://pyenv.run | bash
ENV PATH=${HOME}/.pyenv/shims:${HOME}/.pyenv/bin:${PATH}
ARG PYTHON_VERSION=3.10.12
RUN pyenv install ${PYTHON_VERSION} && \
pyenv global ${PYTHON_VERSION} && \
pyenv rehash && \
pip install --no-cache-dir -U pip setuptools wheel
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app
RUN git lfs install
RUN pip install -r requirements.txt
# RUN ls -lh
# WORKDIR $HOME/app/pretrained
# RUN git lfs install
# RUN git clone https://huggingface.co/stabilityai/stable-diffusion-2-1-unclip
# RUN git clone https://huggingface.co/AILab-CVC/seed-tokenizer-2
# RUn git clone https://huggingface.co/AILab-CVC/seed-llama-14b-sft
# WORKDIR $HOME/app
CMD ["bash", "start.sh"]
# CMD ["python", 'start.py']