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Dockerfile
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# Builds CPU-only Docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
FROM python:3.9-slim as compile-image
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update
RUN apt-get install -y --no-install-recommends \
build-essential \
git \
gcc
# Setup virtual environment for Docker
ENV VIRTUAL_ENV=/opt/venv
RUN python3 -m venv ${VIRTUAL_ENV}
# Make sure we use the virtualenv
ENV PATH="${VIRTUAL_ENV}/bin:$PATH"
WORKDIR /workspace
# Install specific CPU torch wheel to save on space
RUN python3 -m pip install --upgrade --no-cache-dir pip
RUN python3 -m pip install --no-cache-dir \
jupyter \
git+https://github.com/huggingface/accelerate#egg=accelerate[testing,test_trackers] \
--extra-index-url https://download.pytorch.org/whl/cpu
# Stage 2
FROM python:3.9-slim AS build-image
COPY --from=compile-image /opt/venv /opt/venv
RUN useradd -ms /bin/bash user
USER user
# Make sure we use the virtualenv
ENV PATH="/opt/venv/bin:$PATH"
CMD ["/bin/bash"]