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Core dumped when invoking TFLite model converted using latest nightly TFLite converter (2.4.0dev2020929) #43661
Comments
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@yousef-xailient, |
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My bad. You can try now. |
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Was able to reproduce the issue. Session crashes on running the code with TF v2.3 and TF-nightly. Please find the gist of it here. Thanks! |
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Hi @jvishnuvardhan, I noticed that you were assigned to this. Let me know if you have all you need or need any help with this. |
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@yousef-xailient Looks like there is an
Need to check more to find the root-cause. Thanks! |
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@jvishnuvardhan the 'dtype' key is uint8, the other dtypes are shapes and other information about the graph, not involved in the graph itself, I think. I've had quantized models with shape_signature array([], dtype=int32) work fine before. |
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Hi, @karimnosseir, I see that you have been assigned to this issue. Please let me know if I can be of any help. |
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Hi, is this still on going issue ? Thanks |
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Hi, I have the exact same problem and coredump. I would be nice to have some feedback/investigation why the crash occurs... Thanks for your support |
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I was able to replicate in 2.8 version too. |
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That looks invalid values from quantization params. Thanks |
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Thanks. @sngyhan fyi |
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Can you please tag me too in the fix? |
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This should be fixed by a989426 |
System information
Command used to run the converter or code if you’re using the Python API
Link to Google Colab Notebook
Also, please include a link to the saved model or GraphDef
Failure details
The conversion is successful in that it generates a tflite graph. However, when I invoke the graph, I get a core dump error:
[1] 511859 abort (core dumped) python src/reproduce_minimal_tflite_test.py
Code used to invoke the graph. Also included in Colab notebook linked above.
Traceback
The text was updated successfully, but these errors were encountered: