Docker + GPUs. #1

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lkrsnik merged 1 commits from mihasinkec/classla-api:master into master 2022-01-18 15:00:55 +00:00
2 changed files with 18 additions and 9 deletions
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Dockerfile.gpu Normal file
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FROM pytorch/pytorch:1.7.1-cuda11.0-cudnn8-runtime
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
ADD . /classla-api
WORKDIR /classla-api
RUN pip install $(grep -ivE "torch" requirements.txt)
CMD [ "python3", "-m" , "flask", "run", "--host=0.0.0.0"]

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version: "3.8"
version: "3.7"
services:
app:
build: .
command: python -m flask run --host=0.0.0.0
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [ gpu ]
runtime: nvidia
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=all
- CUDA_VISIBLE_DEVICES=1
ports:
- "5000:5000"
volumes: