docker使用docker-compose-gpu.yml启动RAGFLOW，文档解析出错【亲测已办理
0.题目说明想要让RAGFLOW使用GPU资源跑起来，可以选择docker-compose-gpu.yml启动。（但是官网启动案例是×86平台的不是NVIDIA GPU的，docker-compose-gpu.yml又是第三方维护，所以稍有题目）
1.题目
docker使用docker-compose-gpu.yml启动RAGFLOW，文档解析出错
报错：
18:10:23 : NCCL Error 2: unhandled system error (run with NCCL_DEBUG=INFO for details)
https://i-blog.csdnimg.cn/direct/c5139e4ffc4f4bc1a483daa04f50b20b.png
2.办理方案
（1）修改docker-compose-gpu.yml文件（稍作改动）
https://i-blog.csdnimg.cn/direct/5473b40f5b164434851a2a4964dc0109.png
下面是修改后的完备docker-compose-gpu.yml文件，可以直接复制。
# The RAGFlow team do not actively maintain docker-compose-gpu.yml, so use them at your own risk.
# However, you are welcome to file a pull request to improve it.
include:
- ./docker-compose-base.yml
services:
ragflow:
depends_on:
mysql:
condition: service_healthy
image: ${RAGFLOW_IMAGE}
container_name: ragflow-server
ports:
- ${SVR_HTTP_PORT}:9380
- 80:80
- 443:443
volumes:
- ./ragflow-logs:/ragflow/logs
- ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
- ./nginx/proxy.conf:/etc/nginx/proxy.conf
- ./nginx/nginx.conf:/etc/nginx/nginx.conf
env_file: .env
environment:
- TZ=${TIMEZONE}
- HF_ENDPOINT=${HF_ENDPOINT}
- MACOS=${MACOS}
- NCCL_DEBUG=INFO
networks:
- ragflow
restart: on-failure
# https://docs.docker.com/engine/daemon/prometheus/#create-a-prometheus-configuration
# If you're using Docker Desktop, the --add-host flag is optional. This flag makes sure that the host's internal IP gets exposed to the Prometheus container.
extra_hosts:
- "host.docker.internal:host-gateway"
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities:
（2）通过docker-compose-gpu.yml重新启动RAGFLOW
docker compose -f docker-compose-gpu.yml up -d
（3）运行ragflow-server服务器
docker logs -f ragflow-server
（4）查抄是否乐成进行文档解析
乐成解析如下结果：
https://i-blog.csdnimg.cn/direct/027c971a809f40c2a95689b55de2b93f.png
到此，题目办理！
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