核心工具与插件配置
- VSCode基础设置：安装Python/C++等语言扩展，配置代码格式化工具（如Black、Prettier）
- AI开发必备插件：Python扩展、Jupyter Notebook支持、GitLens版本控制、Docker集成
- 环境管理：通过VSCode内置终端或插件（如Remote-SSH）连接远程服务器/容器
开发环境搭建
- Python虚拟环境：使用
venv或conda创建隔离环境，在VSCode中绑定解释器路径 - GPU加速支持：配置CUDA/cuDNN环境变量，验证PyTorch/TensorFlow的GPU调用
- 调试工具集成：设置launch.json调试参数，支持模型训练过程中的断点调试
高效工作流设计
- Jupyter交互开发：结合VSCode的Notebook编辑器实现可视化调试
- 代码模板与片段：利用VSCode Snippets功能保存常用AI模型结构代码块
- 实验管理：集成MLflow或Weights & Biases插件跟踪模型训练指标
协作与部署优化
- 版本控制整合：Git插件管理代码变更，处理大型数据集时的.gitignore配置
- 容器化开发：通过Dev Containers插件配置Docker环境，确保跨平台一致性
- 云服务对接：使用Azure/AWS扩展直接部署模型到云端推理服务
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