self-hosted/immich
1
0
Fork 0
mirror of https://github.com/immich-app/immich.git synced 2024-12-26 10:50:29 +02:00
Code Issues Releases Activity
d34585e4b0
immich/machine-learning/Dockerfile

28 lines
707 B
Docker
Raw Normal View History

Feat/ml image optimisations (#1916) * 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 * Revert "Use requirements.txt file to install python dependencies in ML image" This reverts commit 32e706c7f3db1d0aa1a66b3733ab9ec9dfb86534. * Separate out pip installs in ML builder image
2023-03-04 00:45:20 +02:00
FROM python:3.10 as builder
fix(server): Flask not found (#1830) * fix(server): Flask not found * trial 1
2023-02-22 18:53:59 +02:00
Feat/ml image optimisations (#1916) * 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 * Revert "Use requirements.txt file to install python dependencies in ML image" This reverts commit 32e706c7f3db1d0aa1a66b3733ab9ec9dfb86534. * Separate out pip installs in ML builder image
2023-03-04 00:45:20 +02:00
ENV PYTHONDONTWRITEBYTECODE=1 \
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 17:37:12 +02:00
PYTHONUNBUFFERED=1 \
Revert "feat(server): Machine learning's image optimisations (#1908)" (#1915) This reverts commit 977740045a6c1c29ea5edc4f22ad9377523c422d.
2023-03-01 19:48:35 +02:00
PIP_NO_CACHE_DIR=true
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 17:37:12 +02:00
Revert "feat(server): Machine learning's image optimisations (#1908)" (#1915) This reverts commit 977740045a6c1c29ea5edc4f22ad9377523c422d.
2023-03-01 19:48:35 +02:00
RUN python -m venv /opt/venv
Feat/ml image optimisations (#1916) * 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 * Revert "Use requirements.txt file to install python dependencies in ML image" This reverts commit 32e706c7f3db1d0aa1a66b3733ab9ec9dfb86534. * Separate out pip installs in ML builder image
2023-03-04 00:45:20 +02:00
RUN /opt/venv/bin/pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
RUN /opt/venv/bin/pip install transformers tqdm numpy scikit-learn scipy nltk sentencepiece flask Pillow gunicorn
RUN /opt/venv/bin/pip install --no-deps sentence-transformers
FROM python:3.10-slim
chore(docker): Default NODE_ENV to production for server image and update alpine version (#2157) * default NODE_ENV to production for server image * update node image to use 3.17 alpine in server * update web docker image to use alpine 3.17 * remove NODE_ENV from production docker-compose * NODE_ENV is also needed default in machine-learning
2023-04-03 22:05:29 +02:00
ENV NODE_ENV=production
Feat/ml image optimisations (#1916) * 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 * Revert "Use requirements.txt file to install python dependencies in ML image" This reverts commit 32e706c7f3db1d0aa1a66b3733ab9ec9dfb86534. * Separate out pip installs in ML builder image
2023-03-04 00:45:20 +02:00
COPY --from=builder /opt/venv /opt/venv
Revert "feat(server): Machine learning's image optimisations (#1908)" (#1915) This reverts commit 977740045a6c1c29ea5edc4f22ad9377523c422d.
2023-03-01 19:48:35 +02:00
Feat/ml image optimisations (#1916) * 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 * Revert "Use requirements.txt file to install python dependencies in ML image" This reverts commit 32e706c7f3db1d0aa1a66b3733ab9ec9dfb86534. * Separate out pip installs in ML builder image
2023-03-04 00:45:20 +02:00
ENV TRANSFORMERS_CACHE=/cache \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/opt/venv/bin:$PATH"
WORKDIR /usr/src/app
Revert "feat(server): Machine learning's image optimisations (#1908)" (#1915) This reverts commit 977740045a6c1c29ea5edc4f22ad9377523c422d.
2023-03-01 19:48:35 +02:00
Added machine learning microservice and object detection (#76)
2022-03-27 21:58:54 +02:00
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 17:54:04 +02:00
Feat/ml image optimisations (#1916) * 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 * Revert "Use requirements.txt file to install python dependencies in ML image" This reverts commit 32e706c7f3db1d0aa1a66b3733ab9ec9dfb86534. * Separate out pip installs in ML builder image
2023-03-04 00:45:20 +02:00
CMD ["gunicorn", "src.main:server"]
Reference in New Issue Copy Permalink