这一次，我在修复过程中借助 AI 辅助梳理了不同格式解析的内存路径，快速定位到问题出在全量加载和未及时释放中间对象上。调整为流式读取并优化缓存策略后，内存占用迅速下降。
Because the predictor can only reconstruct masked positions from the visible ones, the context encoder is pressured to spread useful, predictive information across all of its output embeddings. If any visible patch carries a weak representation, the predictor will fail whenever nearby patches are masked.
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