Remote Terminal MCP

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