Docker + GPUs.

This commit is contained in:
Mihael Šinkec 2022-01-18 10:08:59 +01:00
parent f75bd28512
commit f75a6a6a9f
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: services:
app: app:
build: . build: .
command: python -m flask run --host=0.0.0.0 command: python -m flask run --host=0.0.0.0
deploy: runtime: nvidia
resources: environment:
reservations: - NVIDIA_VISIBLE_DEVICES=all
devices: - NVIDIA_DRIVER_CAPABILITIES=all
- driver: nvidia - CUDA_VISIBLE_DEVICES=1
count: all
capabilities: [ gpu ]
ports: ports:
- "5000:5000" - "5000:5000"
volumes: volumes: