dgx-spark-playbooks/nvidia/pytorch-fine-tune/assets/docker-compose.yml
2025-12-19 20:07:30 +00:00

48 lines
1.1 KiB
YAML

version: '3.8'
services:
finetunine:
image: nvcr.io/nvidia/pytorch:25.11-py3
deploy:
replicas: 2
restart_policy:
condition: any
delay: 5s
max_attempts: 3
window: 120s
resources:
reservations:
generic_resources:
- discrete_resource_spec:
kind: 'NVIDIA_GPU'
value: 1
environment:
- UCX_NET_DEVICES=enp1s0f1np1
- NCCL_SOCKET_IFNAME=enp1s0f1np1
- NCCL_DEBUG=INFO
- TORCH_NCCL_ASYNC_ERROR_HANDLING=1
- GLOO_SOCKET_IFNAME=enp1s0f1np1
- CUDA_DEVICE_MAX_CONNECTIONS=1
- CUDA_VISIBLE_DEVICES=0
entrypoint: /opt/pytorch-ft-entrypoint.sh
volumes:
- ${PWD}:/workspace
- ${PWD}/pytorch-ft-entrypoint.sh:/opt/pytorch-ft-entrypoint.sh
- ~/.cache/huggingface/:/root/.cache/huggingface/
- ~/.ssh:/tmp/.ssh:ro
ulimits:
memlock: -1
stack: 67108864
networks:
- host
healthcheck:
test: ["CMD", "service", "ssh", "status"]
interval: 30s
timeout: 10s
retries: 10
networks:
host:
name: host
external: true