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hao-ai-lab-FastVideo/docker/rocm7_1.Dockerfile

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Docker

FROM rocm/pytorch:rocm7.1_ubuntu22.04_py3.10_pytorch_release_2.9.1
ENV DEBIAN_FRONTEND=noninteractive
SHELL ["/bin/bash", "-c"]
WORKDIR /FastVideo
RUN apt-get update && apt-get install -y --no-install-recommends \
wget \
git \
ca-certificates \
openssh-server \
zsh \
vim \
curl \
gcc-11 \
g++-11 \
clang-11 \
&& rm -rf /var/lib/apt/lists/*
# Set up C++20 compilers for ThunderKittens
RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 100 --slave /usr/bin/g++ g++ /usr/bin/g++-11
# Install uv and source its environment
RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
echo 'source $HOME/.local/bin/env' >> /root/.bashrc
# Copy just the pyproject.toml first to leverage Docker cache
COPY pyproject_other.toml ./pyproject.toml
# Create a dummy README to satisfy the installation
RUN echo "# Placeholder" > README.md
# Create and activate virtual environment with specific Python version and seed
RUN source $HOME/.local/bin/env && \
uv venv --python 3.10 --seed /opt/venv && \
source /opt/venv/bin/activate && \
uv pip install --no-cache-dir --upgrade pip
COPY . .
# Install dependencies using uv and set up shell configuration
RUN source $HOME/.local/bin/env && \
source /opt/venv/bin/activate && \
uv pip install --no-cache-dir -e ".[rocm]" && \
git config --unset-all http.https://github.com/.extraheader || true && \
echo 'source /opt/venv/bin/activate' >> /root/.bashrc && \
echo 'if [ -n "$ZSH_VERSION" ] && [ -f ~/.zshrc ]; then . ~/.zshrc; elif [ -f ~/.bashrc ]; then . ~/.bashrc; fi' > /root/.profile
# Install FastVideo Unified Kernel
RUN source $HOME/.local/bin/env && \
source /opt/venv/bin/activate && \
cd fastvideo-kernel && \
git submodule update --init --recursive && \
./build.sh --rocm
EXPOSE 22