def FProp(self, theta, inputs, paddings):
    paddings_expanded = tf.expand_dims(tf.expand_dims(paddings, (- 1)), (- 1))
    bned = super(ConvBatchNormLayer, self).FProp(theta, inputs, paddings_expanded)
    return (bned, paddings)
def FProp(self, theta, inputs, paddings):
    paddings_expanded = tf.expand_dims(tf.expand_dims(paddings, (- 1)), (- 1))
    bned = super(ConvBatchNormLayer, self).FProp(theta, inputs, paddings_expanded)
    return (bned, paddings)