TFRecord Corrupted Shard
TFRecord corrupted shard errors occur when individual TFRecord files are truncated or have inconsistent examples.
TFRecord corrupted shard errors occur when individual TFRecord files are truncated or have inconsistent examples.
What this failure is
TFRecord Corrupted Shard is a Data Pipeline failure seen during ML training runs. TFRecord corrupted shard errors occur when individual TFRecord files are truncated or have inconsistent examples. Common tags: Tfrecord, Corruption, Shard, Tensorflow.
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Why it happens (the mechanism)
TFRecord file not finalized (writer crashed). Disk full during TFRecord write. Incomplete example at end of file. Different TFRecord versions. Taken together, these mechanisms explain why the failure is reproducible, why it tends to surface on specific workloads or scales, and why generic mitigation attempts often fall short without addressing the underlying cause.
What you'll observe
- TFRecord parsing fails on specific shard
- Training crashes on certain epoch
- Data loss error in tf.data
Common symptoms and what they mean
| Symptom | Why it happens |
|---|---|
| DataLossError: corrupted record at byte offset | TFRecord file not finalized (writer crashed) |
| Some samples can't be parsed | Disk full during TFRecord write |
| TFRecord file is truncated | Incomplete example at end of file |
Which systems are affected
- TensorFlow training with TFRecord
- Multi-shard TFRecord datasets
- GCS or S3 backed TFRecord
How to confirm this is the problem
Use this checklist to test the hypothesis against a small reproduction. No single line proves the root cause, so preserve the preceding events and compare one variable at a time.
- ✓Reproduce the failure from a clean checkpoint/seed: the symptom must appear without warm-up state from a previous run.
- ✓Verified signal present: DataLossError: corrupted record at byte offset
- ✓Verified signal present: Some samples can't be parsed
- ✓Verified signal present: TFRecord file is truncated
- ✓A targeted fix from the "How to fix it" section eliminates or substantially reduces the symptom within one validation pass.
The fix and the prevention pattern
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Root cause
- TFRecord file not finalized (writer crashed)
- Disk full during TFRecord write
- Incomplete example at end of file
- Different TFRecord versions
The fix and how to prevent it
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