Has anyone been able to convert EfficientNetB0, or any keras.application model, without issues? All my attempts have failed, usually with an error like nengo.exceptions.ValidationError: TensorNode.shape_in: Element 0 must be an int (got type ‘tuple’)
Hi @javierz, and welcome to the Nengo forums!
The NengoDL codebase does test with the
keras.application model as part of the automated build process. The test code can be viewed here.
As for your error, I think that there may be an issue with the values you provided as the
input_shape to the network. The
input_shape should be a tuple of ints, and it might have got a tuple of tuple instead.
Hi @xchoo I’ve tried different input shapes for EfficientNetB0 and I keep getting errors. I also tried using the default values for the model and that didn’t work either. I did run what you had with DenseNet and it worked, so I tried something similar with EfficientNet and still got errors. Would you happen to have a working model using EfficientNet? Or know where I can find an example that uses it?
I have been able to replicate the error on my local machine, so it is an issue. We don’t have any examples of working models with EfficientNet, so I won’t be able to help you there. I also haven’t personally used EfficientNet, so I’m unsure why this error is occuring.
Do you have any examples of EfficientNet working within TensorFlow (just TensorFlow by itself)? I’m wondering if it could be a mistake within TensorFlow.
Regardless, I have opened up an issue on the NengoDL Github, and our NengoDL devs will look at it whenever they are available.