EOS tensorflow data_error ai_generated true

OutOfRangeError: 序列结束

OutOfRangeError: End of sequence

ID: tensorflow/out-of-range-end-of-sequence

其他格式: JSON · Markdown 中文 · English
90%修复率
88%置信度
1证据数
2023-04-20首次发现

版本兼容性

版本状态引入弃用备注
tensorflow 2.9.0 active — — —
tensorflow 2.10.0 active — — —
tensorflow 2.11.0 active — — —

根因分析

tf.data 迭代器在训练循环预期结束前已耗尽，通常是由于数据集大小与步数不匹配。

English

A tf.data iterator was exhausted before the training loop expected, often due to a mismatch between dataset size and number of steps.

generic

官方文档

https://www.tensorflow.org/api_docs/python/tf/data/Dataset

解决方案

  1. Ensure the dataset is repeated or the number of steps matches the dataset size. For example: `dataset = dataset.repeat()` and then `steps_per_epoch = len(dataset) // batch_size`.

无效尝试

常见但无效的做法:

  1. 85% 失败

    This does not fix the mismatch; it only changes the number of elements per step.

  2. 90% 失败

    An infinite repeat (repeat()) can mask the error but leads to infinite loops if not handled.