I think effnet.py used efficientnet pip package, neither core of keras or tensorflow.
Is the implementation of tf.keras compatible?

I think effnet.py used efficientnet pip package, neither core of keras or tensorflow.
Is the implementation of tf.keras compatible?

Actually there is a problem. We can't use pretrained weights as tf comes with weights itself and I don't know how to integrate the imagenet weights. Rest of all is fine.

What issue are you having? I'm guessing it is related to qubvel/efficientnet#127 ? This should be fixed with qubvel/efficientnet#128 . When that gets released, efficientnet should work with the latest tensorflow again.

Yeah the same was the issue along with another..I couldn't use the pretrained iamgenet weights too!

I use the qubvel/efficientnet package and personally know the author of this package. This package works nicely and is well compatible with the latest TF versions.
I believe there is no need to replace this package. Plus it breaks compatibility.

In addition, I think it would be nice to replace the original resnet with the resnet from this package. This can solve many problems and will allow you to abandon the keras code and completely move to TF.