version: '3.8'

services:
  ubuntu-megadna:
    build: 
      context: .
      dockerfile: Dockerfile
      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
        CONDA_ENV_NAME: megadna
        CUDA_VERSION: 12.1.0
        PYTORCH_VERSION: 2.3.0
        TORCHVISION_VERSION: 0.18.0
        TORCHAUDIO_VERSION: 2.3.0
        DS_BUILD_OPS: 1
        DS_BUILD_SPARSE_ATTN: 0
        DS_BUILD_FUSED_ADAM: 0
        DS_BUILD_CPU_ADAM: 0
        CUDA: cu121
        CUDA_ARCH_LIST: "80;86;89;90" # for RTX 4090, all : "80;86;89;90"
        SETUPTOOLS_VERSION: "69.5.1"
    volumes:
      - ./src:/bbtft
    container_name: ubuntu-megadna
    pull_policy: if_not_present
    tty: true
    restart: unless-stopped
    image: hotwa/deepspeed:test
    shm_size: '32gb'
    ports:
      - 3237:22
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    networks:
      - network_megadna
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

networks:
  network_megadna:
    name: network_megadna