# Documentation: https://huggingface.co/docs/hub/spaces-sdks-docker FROM python:3.9 #RUN useradd -m -u 1000 user #USER user ENV PATH="/home/user/.local/bin:/opt/conda/bin:$PATH" #WORKDIR /app ARG PYTORCH_VERSION=2.1.0 ARG PYTHON_VERSION=3.9 #8.10 ARG CUDA_VERSION=11.8 ARG CU_DNN=8.5.0.96 ARG MAMBA_VERSION=24.3.0-0 ARG CUDA_CHANNEL=nvidia ARG INSTALL_CHANNEL=pytorch # Automatically set by buildx ARG TARGETPLATFORM #USER root # Update basic dependencies we'll be using. RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ build-essential \ ca-certificates \ ccache \ curl \ python3 \ python3-pip \ git && \ rm -rf /var/lib/apt/lists/* RUN git clone https://github.com/lee-ny/teaching_arithmetic.git /teaching_arithmetic # && cd teaching_arithmetic && pip install -e . #RUN chmod +x /teaching_arithmetic # Install conda # translating Docker's TARGETPLATFORM into mamba arches RUN case ${TARGETPLATFORM} in \ "linux/arm64") MAMBA_ARCH=aarch64 ;; \ *) MAMBA_ARCH=x86_64 ;; \ esac && \ curl -fsSL -v -o ~/mambaforge.sh -O "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh" RUN chmod +x ~/mambaforge.sh && \ bash ~/mambaforge.sh -b -p /opt/conda && \ rm ~/mambaforge.sh # Install pytorch # On arm64 we exit with an error code RUN case ${TARGETPLATFORM} in \ "linux/arm64") exit 1 ;; \ *) /opt/conda/bin/conda update -y conda && \ /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" "pytorch=$PYTORCH_VERSION" "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)" ;; \ esac && \ /opt/conda/bin/conda clean -ya #COPY --chown=user ./requirements.txt requirements.txt COPY ./requirements.txt requirements.txt RUN pip install --no-cache-dir --upgrade -r requirements.txt #COPY --chown=user teaching_arithmetic /teaching_arithmetic #COPY --chown=user . /app #COPY . /app COPY ./out /out RUN chmod 777 -R /out #RUN chmod +x /out COPY ./out/addition_train /out/ RUN chmod 777 /teaching_arithmetic/train.py COPY ./train.sh /train.sh RUN chmod +x /train.sh # Expose the secret DEBUG at buildtime and use its value as git remote URL #RUN --mount=type=secret,id=DEBUG,mode=0444,required=true \ # git init && \ # git remote add origin $(cat /run/secrets/DEBUG) # USER 1000 # CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] ENTRYPOINT ["/train.sh"]