docker利用docker-compose-gpu.yml启动RAGFLOW，文档解析出错【亲测已解决】
0.问题说明
想要让RAGFLOW利用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，所以稍有问题）
1.问题
docker利用docker-compose-gpu.yml启动RAGFLOW，文档解析出错
报错：
18:10:23 [ERROR][Exception]: NCCL Error 2: unhandled system error (run with NCCL_DEBUG=INFO for details)
2.解决方案
（1）修改docker-compose-gpu.yml文件（稍作改动）
下面是修改后的完整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: - ${SVR_HTTP_PORT}:9380 - 80:80 - 443:443 volumes: - ./ragflow-logs:/ragflow/logs - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf - ./nginx/proxy.conf:/etc/nginx/proxy.conf - ./nginx/nginx.conf:/etc/nginx/nginx.conf env_file: .env ipc: host shm_size: 8g environment: - TZ=${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: [gpu]参数解释：
ipc: host：允许容器共享主机的IPC命名空间，解决NCCL多卡通信问题
shm_size: 8g：增大共享内存容量（默认64MB不足）
（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）检查是否成功进行文档解析
成功解析如下结果：
到此，问题解决！
