code: def mean_squared_logarithmic_error(y_true, y_pred):
      first_log = tf.log(
          model_ops.clip(y_pred, model_ops.epsilon(), None) + 1.0
      )
      second_log = tf.log(
          model_ops.clip(y_true, model_ops.epsilon(), None) + 1.0
      )
      return model_ops.mean(tf.square(first_log - second_log), axis=-1)
  
file_path: deepchem/contrib/nn/objectives.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  from __future__ import absolute_import
  import warnings
  import tensorflow
  from deepchem.nn import model_ops
label_desc: Use image node_id 4 for calling a global function with example usage: mean_squared_logarithmic_error(y_true, y_pred) and returns: model_ops