ESAV tensorflow resource_error ai_generated true

tensorflow.python.framework.errors_impl.UnknownError: Failed to save checkpoint to /tmp/model.ckpt: IO error: No space left on device [Op:SaveV2]

ID: tensorflow/checkpoint-save-failed-io-error

Also available as: JSON · Markdown · 中文
85%Fix Rate
88%Confidence
1Evidence
2024-02-15First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
2.12 active — — —
2.13 active — — —
2.14 active — — —

Root Cause

The disk partition where the checkpoint directory resides has run out of inodes or blocks, causing the SaveV2 operation to fail.

generic

中文

检查点目录所在的磁盘分区 inode 或块耗尽，导致 SaveV2 操作失败。

Official Documentation

https://www.tensorflow.org/guide/checkpoint

Workarounds

  1. 85% success Check disk usage with 'df -h' and 'df -i', then delete unnecessary files or expand the partition. Alternatively, change checkpoint path to a partition with more space using tf.train.CheckpointManager with a different directory. 
    Check disk usage with 'df -h' and 'df -i', then delete unnecessary files or expand the partition. Alternatively, change checkpoint path to a partition with more space using tf.train.CheckpointManager with a different directory.
  2. 75% success Enable checkpoint compression by setting options.experimental_io_device='/job:localhost' and using tf.train.CheckpointOptions(experimental_io_device='/job:localhost', experimental_enable_async_checkpoint=True) to reduce immediate disk usage. 
    Enable checkpoint compression by setting options.experimental_io_device='/job:localhost' and using tf.train.CheckpointOptions(experimental_io_device='/job:localhost', experimental_enable_async_checkpoint=True) to reduce immediate disk usage.

中文步骤

  1. Check disk usage with 'df -h' and 'df -i', then delete unnecessary files or expand the partition. Alternatively, change checkpoint path to a partition with more space using tf.train.CheckpointManager with a different directory.
  2. Enable checkpoint compression by setting options.experimental_io_device='/job:localhost' and using tf.train.CheckpointOptions(experimental_io_device='/job:localhost', experimental_enable_async_checkpoint=True) to reduce immediate disk usage.

Dead Ends

Common approaches that don't work:

  1. Delete random files in /tmp to free space 60% fail

    The checkpoint path may not be in /tmp; also deleting unrelated files can cause other failures.

  2. Set TF_CPP_MIN_LOG_LEVEL=2 to suppress the error 90% fail

    Suppressing logs does not resolve the underlying disk space issue; the checkpoint will still not be saved.

  3. Reduce batch size to reduce checkpoint size 80% fail

    Checkpoint size is determined by model parameters, not batch size; reducing batch size does not free disk space.