code: def custom_mean_squared_error(y_true, y_pred):
      return ops.mean(ops.square(y_true - y_pred), axis=-1)
  
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 3 for calling a global function with example usage: custom_mean_squared_error(y_true, y_pred) and returns: ops