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nvidia_docker/docker-compose_colossalai.yml
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2024-08-02 16:39:13 +08:00

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version: '3.1'
services:
ubuntu-colossalai:
build:
context: .
dockerfile: Dockerfile.colossalai
args: # PyTorch版本、Python版本与pytorch_lightning版本的对应关系表 https://blog.csdn.net/qq_41813454/article/details/137421822
# REGISTRY: "nvcr.io"
# OWNER: "nvidia" # nvcr.io/nvidia/pytorch:24.07-py3
# LABEL: "pytorch"
# VERSION: "24.07-py3"
# HTTP_PROXY: "http://127.0.0.1:15777"
# HTTPS_PROXY: "http://127.0.0.1:15777"
CACHEBUST: 1
# volumes:
# - ./workspace:/workspace
# - /tmp:/tmp
container_name: ubuntu-colossalai
pull_policy: if_not_present
ulimits:
memlock:
soft: -1
hard: -1
# tty: true
# stdin_open: true
restart: unless-stopped
image: hotwa/colossalai:latest
privileged: true
ipc: host
network_mode: host
shm_size: '1024gb'
# ports:
# - 3228:2222
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
- TMPDIR=/var/tmp
# networks:
# - network_finetune
# command: ["/usr/sbin/sshd", "-D"]
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]