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ValueError: Shape must be rank 1 but is rank 4

I'm using Keras 2.2.4 and just a simple code for BatchNormalization throws this error

ValueError: Shape must be rank 1 but is rank 4 for 'batch_normalization_1/cond/FusedBatchNorm' (op: 'FusedBatchNorm') with input shapes

The back-end is Tensorflow. Here is the code I'm running

from keras.layers import BatchNormalization, Input
x = Input(shape=(1, 32, 32))
BatchNormalization(axis=1)(x)

What's wrong with this?

tensorflowkerasbatch-normalization
3 votesJW253.00
1 Answers
JO228.00
3

Keras 2.1.6 works for me. You gonna need to downgrade your Keras' version.

Just run these commands

pip uninstall keras
pip install keras==2.1.6

They've got a bug in Keras 2.2.* and we don't know if it's fixed in new versions or not.

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