TDC tensorflow data_error ai_generated true

InternalError: TF_DATA cache file '/tmp/tf_data_cache_abc123' is corrupted: expected header size 1024 but got 512

ID: tensorflow/tf-data-cache-corruption

Also available as: JSON · Markdown · 中文
95%Fix Rate
83%Confidence
1Evidence
2024-05-20First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
tensorflow>=2.15.0 active — — —
python>=3.10 active — — —

Root Cause

The tf.data service cache file was partially written due to an abrupt process termination or disk full condition, causing a mismatch in the expected header size.

generic

中文

tf.data服务缓存文件因进程意外终止或磁盘空间不足而部分写入，导致预期头部大小与实际不符。

Official Documentation

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

Workarounds

  1. 95% success Delete the corrupted cache file manually: `rm /tmp/tf_data_cache_abc123` (or the path in the error), then re-run the pipeline. The cache will be regenerated. 
    Delete the corrupted cache file manually: `rm /tmp/tf_data_cache_abc123` (or the path in the error), then re-run the pipeline. The cache will be regenerated.
  2. 90% success Disable caching for the dataset by removing the `.cache()` call or setting `cache=''` in the dataset creation, and rely on in-memory caching instead. 
    Disable caching for the dataset by removing the `.cache()` call or setting `cache=''` in the dataset creation, and rely on in-memory caching instead.

中文步骤

  1. Delete the corrupted cache file manually: `rm /tmp/tf_data_cache_abc123` (or the path in the error), then re-run the pipeline. The cache will be regenerated.
  2. Disable caching for the dataset by removing the `.cache()` call or setting `cache=''` in the dataset creation, and rely on in-memory caching instead.

Dead Ends

Common approaches that don't work:

  1. Increasing the size of the cache by setting tf.data.experimental.service.CACHE_MAX_SIZE. 80% fail

    The error is about file corruption, not capacity; a larger cache does not fix a corrupted file header.

  2. Reinstalling TensorFlow to fix the cache mechanism. 95% fail

    The corruption is specific to the cache file on disk, not the TensorFlow installation; reinstalling does not remove the corrupted file.