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feat(server) Enable ML support for ARM CPUs (#1880)

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* 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
This commit is contained in:
Olly Welch
2023-02-26 21:00:09 +00:00
committed by GitHub
parent 368142e79b
commit ab90b01122
2 changed files with 6 additions and 5 deletions
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2
.github/workflows/docker.yml vendored
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@@ -29,7 +29,7 @@ jobs:
platforms: "linux/arm/v7,linux/amd64,linux/arm64"
- context: "machine-learning"
image: "immich-machine-learning"
platforms: "linux/amd64"
platforms: "linux/amd64,linux/arm64"
- context: "nginx"
image: "immich-proxy"
platforms: "linux/arm/v7,linux/amd64,linux/arm64"

9
machine-learning/Dockerfile
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@@ -1,15 +1,16 @@
FROM python:3.10
ENV TRANSFORMERS_CACHE=/cache
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
ENV TRANSFORMERS_CACHE=/cache \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=true
WORKDIR /usr/src/app
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
RUN pip install --no-cache-dir torch==1.13.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
RUN pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
RUN pip install transformers tqdm numpy scikit-learn scipy nltk sentencepiece flask Pillow
RUN pip install --no-deps sentence-transformers