branderson
ce57680a6a
python:3.11-slim base relies on pip torch wheels bundling CUDA runtime libs, with the host NVIDIA driver passed through via the nvidia container runtime (compose GPU reservation); TORCH_HOME and XDG_CACHE_HOME point into the mounted /data volume so Demucs/wav2vec2 weights survive container recreation. Docker was not installed in the implementation sandbox, so the image was not built or run and remains untested. PyYAML was also unavailable, so docker-compose.yml was not parse-checked programmatically — only hand reviewed.
16 lines
306 B
YAML
16 lines
306 B
YAML
services:
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karaoke-maker:
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build: .
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ports:
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- "8000:8000"
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volumes:
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- ./config.toml:/config/config.toml:ro
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- ./data:/data
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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