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immich/machine-learning/Dockerfile
Mert a2f5674bbb
refactor(ml): modularization and styling (#2835)
* basic refactor and styling

* removed batching

* module entrypoint

* removed unused imports

* model superclass,  model cache now in app state

* fixed cache dir and enforced abstract method

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Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-06-24 22:18:09 -05:00

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Docker

FROM python:3.11.4-bullseye@sha256:5b401676aff858495a5c9c726c60b8b73fe52833e9e16eccdb59e93d52741727 as builder
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=true
RUN pip install --upgrade pip && pip install poetry
RUN poetry config installer.max-workers 10 && \
poetry config virtualenvs.create false
RUN python -m venv /opt/venv
ENV VIRTUAL_ENV="/opt/venv" PATH="/opt/venv/bin:${PATH}"
COPY poetry.lock pyproject.toml ./
RUN poetry install --sync --no-interaction --no-ansi --no-root --only main
FROM python:3.11.4-slim-bullseye@sha256:91d194f58f50594cda71dcd2e8fdefd90e7ecc57d07823813b67c8521e565dcd
WORKDIR /usr/src/app
ENV NODE_ENV=production \
TRANSFORMERS_CACHE=/cache \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/opt/venv/bin:$PATH" \
PYTHONPATH=/usr/src
COPY --from=builder /opt/venv /opt/venv
COPY app .
ENTRYPOINT ["python", "-m", "app.main"]