47 lines
1.5 KiB
Docker
47 lines
1.5 KiB
Docker
FROM nvidia/cuda:12.8.0-cudnn-devel-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive
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SHELL ["/bin/bash", "-c"]
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WORKDIR /FastVideo
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RUN apt-get update && apt-get install -y --no-install-recommends \
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wget \
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git \
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ca-certificates \
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openssh-server \
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zsh \
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vim \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv and source its environment
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
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echo 'source $HOME/.local/bin/env' >> /root/.bashrc
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# Copy just the pyproject.toml first to leverage Docker cache
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COPY pyproject.toml ./
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# Create a dummy README to satisfy the installation
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RUN echo "# Placeholder" > README.md
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# Create and activate virtual environment with specific Python version and seed
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RUN source $HOME/.local/bin/env && \
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uv venv --python 3.12 --seed /opt/venv && \
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source /opt/venv/bin/activate && \
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uv pip install --no-cache-dir --upgrade pip && \
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uv pip install --no-cache-dir .[dev] && \
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uv pip install --no-cache-dir flash-attn==2.8.0.post2 --no-build-isolation
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COPY . .
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# Install dependencies using uv and set up shell configuration
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RUN source $HOME/.local/bin/env && \
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source /opt/venv/bin/activate && \
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uv pip install --no-cache-dir -e .[dev] && \
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git config --unset-all http.https://github.com/.extraheader || true && \
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echo 'source /opt/venv/bin/activate' >> /root/.bashrc && \
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echo 'if [ -n "$ZSH_VERSION" ] && [ -f ~/.zshrc ]; then . ~/.zshrc; elif [ -f ~/.bashrc ]; then . ~/.bashrc; fi' > /root/.profile
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EXPOSE 22 |