How to convert the following batch normalization layer from Tensorflow to Pytorch?
tf.contrib.layers.batch_norm(inputs=x, 
                             decay=0.95,
                             center=True,
                             scale=True,
                             is_training=(mode=='train'),
                             updates_collections=None,
                             reuse=reuse,
                             scope=(name+'batch_norm'))

I couldn’t find some of the following inputs in the batchnorm layer in Pytorch.