DLC tensorflow data_error ai_generated partial

DataLossError: corrupted record at 12345: checksum mismatch

ID: tensorflow/data-loss-corrupted-event-file

Also available as: JSON · Markdown · 中文

80%Fix Rate

85%Confidence

1Evidence

2023-08-15First Seen

Version Compatibility

Version	Status	Introduced	Deprecated	Notes
tensorflow 2.15.0	active	—	—	—
tensorboard 2.15.0	active	—	—	—

Root Cause

TensorBoard event file or TFRecord file is corrupted, often due to incomplete write or disk failure.

generic

中文

TensorBoard事件文件或TFRecord文件损坏，通常由写入不完整或磁盘故障引起。

Official Documentation

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

Workarounds

85% success Identify and remove the corrupted event file: locate the file (e.g., events.out.tfevents.12345), then delete it and restart TensorBoard. Example: rm /path/to/logs/events.out.tfevents.12345 tensorboard --logdir /path/to/logs
```
Identify and remove the corrupted event file: locate the file (e.g., events.out.tfevents.12345), then delete it and restart TensorBoard. Example:
rm /path/to/logs/events.out.tfevents.12345
tensorboard --logdir /path/to/logs
```
75% success Use tf.data to skip corrupted records during TFRecord reading: import tensorflow as tf raw_dataset = tf.data.TFRecordDataset(['data.tfrecord']) filtered_dataset = raw_dataset.ignore_errors() for record in filtered_dataset: # process record pass
```
Use tf.data to skip corrupted records during TFRecord reading:
import tensorflow as tf
raw_dataset = tf.data.TFRecordDataset(['data.tfrecord'])
filtered_dataset = raw_dataset.ignore_errors()
for record in filtered_dataset:
    # process record
    pass
```

中文步骤

Identify and remove the corrupted event file: locate the file (e.g., events.out.tfevents.12345), then delete it and restart TensorBoard. Example:
rm /path/to/logs/events.out.tfevents.12345
tensorboard --logdir /path/to/logs

Use tf.data to skip corrupted records during TFRecord reading:
import tensorflow as tf
raw_dataset = tf.data.TFRecordDataset(['data.tfrecord'])
filtered_dataset = raw_dataset.ignore_errors()
for record in filtered_dataset:
    # process record
    pass

Dead Ends

Common approaches that don't work:

85% fail
Does not address root cause of file corruption.
95% fail
Overly destructive; only the corrupted file needs removal.