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Data loss: not an sstable (bad magic number) #57081

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qazx3113 opened this issue Aug 10, 2022 · 4 comments
Closed

Data loss: not an sstable (bad magic number) #57081

qazx3113 opened this issue Aug 10, 2022 · 4 comments
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comp:model Model related issues stale This label marks the issue/pr stale - to be closed automatically if no activity stat:awaiting response Status - Awaiting response from author type:support Support issues

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@qazx3113
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Please go to Stack Overflow for help and support:

https://stackoverflow.com/questions/tagged/tensorflow

If you open a GitHub issue, here is our policy:

  1. It must be a bug, a feature request, or a significant problem with the
    documentation (for small docs fixes please send a PR instead).
  2. The form below must be filled out.
  3. It shouldn't be a TensorBoard issue. Those go
    here.

Here's why we have that policy: TensorFlow developers respond to issues. We want to focus on work that benefits the whole community, e.g., fixing bugs and adding features. Support only helps individuals. GitHub also notifies thousands of people when issues are filed. We want them to see you communicating an interesting problem, rather than being redirected to Stack Overflow.


System information

  • Have I written custom code (as opposed to using a stock example script
    provided in TensorFlow)
    :
  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  • Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue
    happens on a mobile device
    :
  • TensorFlow installed from (source or binary):
  • TensorFlow version (use command below):
  • Python version:
  • Bazel version (if compiling from source):
  • GCC/Compiler version (if compiling from source):
  • CUDA/cuDNN version:
  • GPU model and memory:
  • Exact command to reproduce:

You can collect some of this information using our environment capture script:

https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh

You can obtain the TensorFlow version with:

python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"

Describe the problem

Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.

Source code / logs

Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem.

@google-ml-butler google-ml-butler bot added the type:support Support issues label Aug 10, 2022
@mohantym
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@qazx3113 !
Could you update the template to replicate this issue.
Attached relevant thread for reference. 1, 2.
Thank you!

@mohantym mohantym added comp:model Model related issues stat:awaiting response Status - Awaiting response from author labels Aug 10, 2022
@google-ml-butler
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This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.

@google-ml-butler google-ml-butler bot added the stale This label marks the issue/pr stale - to be closed automatically if no activity label Aug 17, 2022
@google-ml-butler
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Closing as stale. Please reopen if you'd like to work on this further.

@google-ml-butler
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Labels
comp:model Model related issues stale This label marks the issue/pr stale - to be closed automatically if no activity stat:awaiting response Status - Awaiting response from author type:support Support issues
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