- config: yaml `_base_` 继承 + 深度合并 + 命令行 `--set a.b.c=value` 覆盖,检测循环引用 - registry: 组件按名注册与构建,模型/数据集共用 - device: require_cuda() 守卫,按 CLAUDE.md 约定禁止在无 Nvidia GPU 的设备上训练; 评估与导出走 resolve_device() 允许 CPU - labels: multilabel / multiclass 两种图像级标签形式的共用定义 - logging / seed: 控制台+文件日志、随机种子与 cudnn 确定性 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
14 lines
433 B
Python
14 lines
433 B
Python
"""图像级标签形式的共用定义(模型与数据集都要用到,放这里避免互相 import)。"""
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from __future__ import annotations
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MULTILABEL = "multilabel"
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MULTICLASS = "multiclass"
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LABEL_MODES = (MULTILABEL, MULTICLASS)
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def check_label_mode(label_mode: str) -> str:
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if label_mode not in LABEL_MODES:
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raise ValueError(f"未知 label_mode: {label_mode},可选 {LABEL_MODES}")
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return label_mode
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