code: def mean_square(y_pred, y_true):
      """Mean Square Loss.
  
      Arguments:
          y_pred: `Tensor` of `float` type. Predicted values.
          y_true: `Tensor` of `float` type. Targets (labels).
  
      """
      with tf.name_scope("MeanSquare"):
          return tf.reduce_mean(tf.square(y_pred - y_true))
  
file_path: tflearn/tflearn/objectives.py
imports: from __future__ import division, print_function, absolute_import
  import tensorflow.compat.v1
  from .config import _EPSILON, _FLOATX
  from .utils import get_from_module
label_desc: Use image node_id 6 for calling a global function with example usage: mean_square(y_pred, y_true) and returns: tf