Reversible-Instance-Normalization

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Doesn´t work in Tensorflow

1

I call your function from: ``` from RevIN import RevIN %load_ext autoreload %autoreload 2 revin_layer = RevIN(2) x=Input(shape=(12,2)) model=revin_layer(x,mode="norm") model2=LSTM(32,return_sequences=False)(model) output_layer=Dense(2)(model2) output_layer1=revin_layer(output_layer,mode="denorm") model1 = Model(inputs=x, outputs=output_layer1) model1.summary() ``` But I...

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