code: def loss_mse(outputs, y):
      return tf.pow(y - tf.transpose(outputs), 2, name="mse_loss")
  
file_path: tffm/tffm/utils.py
imports: import math
  import numpy
  import tensorflow
  import itertools
  from itertools import combinations_with_replacement, takewhile, count
  from collections import defaultdict
label_desc: Use image node_id 10 for calling a global function with example usage: loss_mse(outputs, y) and returns: tf