Comments (2)
One gotcha would be that, on PyPI, there are tensorflow
and tensorflow-gpu
, and requiring either as a transitive dependency would either disable the GPU usage or spit out a ton of errors.
Keras' model format is designed to be backend-agnostic and should be able to load in any backend in theory, but I might need to check if CREPE works when the Theano/CNTK backend is configured.
Anyway, assuming that the majority of our audience use TF+Keras, recommending the minimum TF version would suffice.
Personally, I've experienced the model incompatibility issues more on the Keras version than on the TF version.
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Yeah fair point
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