I am new to TF 2.x. When BatchNormalization layer is created in TensorFlow 2.x, am unable to read BN parameters (such as momentum, epsilon etc.) the way we used to in TF1.x. Is there a way to work around this? Specifically, if we have Keras BN op with no training argument, how do we read the associated parameters such as beta, gamma, epsilon, momentum , moving mean and average from it?