code: def call(self, y_true, y_pred):
      mse = ops.mean(ops.square(y_true - y_pred), axis=-1)
      reg = ops.mean(ops.square(0.5 - y_pred), axis=-1)
      return mse + reg * self.regularization_factor
  
imports: import torch
  import tensorflow
  import os
  import numpy
  import keras
  from keras import layers
  from keras import ops
label_desc: Use image node_id 2 for calling the CustomMSE obj's underlying member method code with example usage: obj.call(y_true, y_pred) and returns: unknown