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Hello, I am currently working with Computer Vision problems and I need to implement a solution with efficientnet architecture.
I can see that with the plugins it can not be installed, also I tried to implement it with code but as Dataiku needs a version of TensorFlow below 2.0 and efficientnet is just in versions up to 2.0 I had no luck.
Has somebody implemented efficientnet in Dataiku? Or somebody knows whether this is possible, and if the answer is yes, can you tell me how could it be?
Operating system used: Linux Debian
Hi @luis_gmc ,
You should be able to install efficientnet and tensorflow. I had not issues on Python 3.6 managed code env on DSS 9/10. We did see in the past that you may need to pin tensorflow ==2.1.0 in some cases.
For request packages I have :
Can you share the exact error you are seeing when trying to install efficientnet?
In terms of the error reported I see a similar report here :
Failed to train : <class 'ValueError'> : Input 0 is incompatible with layer flatten_1:expected min_ndim=3, found ndim=2
Can you check if that solution perhaps works for you?