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cdc_dockerfile/megadna/docker-compose_pytorch2.3.yml
2024-06-21 18:17:28 +08:00

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YAML

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