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auto_create: true
container_name: pytorch_ml
description: PyTorch机器学习环境
environment:
CUDA_VISIBLE_DEVICES: 0,1,2,3
PYTHONPATH: /workspace
gpus: all
image: pytorch/pytorch:1.12.0-cuda11.3-cudnn8-devel
install_packages:
- jupyter
- tensorboard
- wandb
- matplotlib
- seaborn
network_mode: host
ports:
- 8888:8888
- 6006:6006
privileged: true
restart_policy: always
setup_commands:
- pip install jupyter tensorboard wandb matplotlib seaborn
- conda install -c conda-forge nodejs
- jupyter lab --generate-config
- echo 'PyTorch ML environment ready!'
shm_size: 64g
template_type: ml
volumes:
- /data:/data
- /home:/home
- /workspace:/workspace
working_directory: /workspace