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Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping

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Hello Sir, I am trying to use NFNET model, but I am encountering, the aforementioned error. Code: ![image](https://user-images.githubusercontent.com/49299018/118442687-87267d00-b708-11eb-93bb-b30cc32ff8f4.png) Error: ![image](https://user-images.githubusercontent.com/49299018/118442764-a4f3e200-b708-11eb-988d-61d5f363fd37.png) AttributeError: 'NFNet' object has no attribute 'variant' I believe The...

Hi! I am trying to have a look at the TensorFlow implementation of NFNet, and somehow got to fix the reference-before-assignment issue with some help from @prateekkrjain. However, when I...

it gives me this error when i try to import the NFNetF0 Module ![image](https://user-images.githubusercontent.com/16841781/129227753-eee545c5-f6c3-449a-91f4-69981dcf87a7.png)

You use the value of self.variant before initializing it. A simple change in line 89 fixes it.

Are there any imagenet weights available?

thanks for the implementation of nfnets in keras! I want to run it using optimizer(SGD_AGC). But there's an error like this. ``` TypeError: Can't instantiate abstract class SGD_AGC with abstract...

Hell Sir. I tried your code but I met some error. This is my code. ```python optimizer = SGD_AGC(lr=0.01) ``` Error : ```python TypeError: __init__() missing 1 required positional argument:...

Got TypeError: The added layer must be an instance of class Layer. Found: when trying to use NFNet F0. ```--------------------------------------------------------------------------- TypeError Traceback (most recent call last) in 5 model_path =...