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Package dependence reproducibility. #22

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Jon-Croz opened this issue Apr 30, 2024 · 3 comments
Open

Package dependence reproducibility. #22

Jon-Croz opened this issue Apr 30, 2024 · 3 comments

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@Jon-Croz
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Hey folks,

This is a nice library, but I'm running into package conflicts with Python, TF-Keras and Numpy. It seems like this library assumes an older version of Keras from tensorflow (in contrast to current stand-alone keras), but it seems difficult to trace exactly what versions of Python / Keras / TF / Numpy this is intended to work with.

What are the exact Python / Keras / Numpy versions used when this package was developed and released? I'm looking at 2020-era Python / TF / Numpy releases but still haven't been able to resolve something that actually works without throwing AttributeErrors.

Thanks!

@nitko12
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nitko12 commented May 11, 2024

Have you found versions that work?

@lucaskdc
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So far i remember i had success using it with python 3.9.1, numpy 1.19.5 and tensorflow 2.5.0

@Jon-Croz
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Interesting. I just tried your configuration, and others as well but still run into the same problems. Have any of you seen something like this from keras2c?

File ".../keras2c/check_model.py", line 118, in check_layer
activation = layer.get_config().get('activation').get('class_name')
AttributeError: 'str' object has no attribute 'get'

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