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immich/machine-learning/Dockerfile

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feat(server): Machine learning's image optimisations (#1908) * Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
2023-03-01 15:37:12 +00:00
FROM python:3.10 as builder
Added machine learning microservice and object detection (#76)
2022-03-27 19:58:54 +00:00
feat(server): Machine learning's image optimisations (#1908) * Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
2023-03-01 15:37:12 +00:00
ENV PYTHONDONTWRITEBYTECODE=1 \
feat(server) Enable ML support for ARM CPUs (#1880) * Install nightly release of pytorch to enable ML support for arm CPUs * Remove linux/arm/v7 from ML docker builds * Add --no-cache-dir to torch installation command in ML image build * Use PIP_NO_CACHE_DIR option in ML build to further decrease image size
2023-02-26 21:00:09 +00:00
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=true
Added machine learning microservice and object detection (#76)
2022-03-27 19:58:54 +00:00
feat(server): Machine learning's image optimisations (#1908) * Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
2023-03-01 15:37:12 +00:00
COPY requirements.txt ./
RUN python -m venv /opt/venv && \
/opt/venv/bin/pip install --upgrade pip setuptools wheel && \
/opt/venv/bin/pip install --no-deps -r requirements.txt
FROM python:3.10-slim
Added machine learning microservice and object detection (#76)
2022-03-27 19:58:54 +00:00
feat(server): Machine learning's image optimisations (#1908) * Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
2023-03-01 15:37:12 +00:00
COPY --from=builder /opt/venv /opt/venv
fix(server): Flask not found (#1830) * fix(server): Flask not found * trial 1
2023-02-22 16:53:59 +00:00
feat(server): Machine learning's image optimisations (#1908) * Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
2023-03-01 15:37:12 +00:00
ENV TRANSFORMERS_CACHE=/cache \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/opt/venv/bin:$PATH"
WORKDIR /usr/src/app
Added machine learning microservice and object detection (#76)
2022-03-27 19:58:54 +00:00
COPY . .
fix(machine-learning): Add the command to execute at startup (#1843) * fix(machine-learning): Add the command to execute at startup Previously it wasn't set in the Docker container but it should be. * fix(docker): remove machine-learning command arg * fix(docker): machine-learning CMD argument
2023-02-23 15:54:04 +00:00
feat(server): Machine learning's image optimisations (#1908) * Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
2023-03-01 15:37:12 +00:00
CMD ["gunicorn", "src.main:server"]
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