code: def losses_for_tree_batch(self, trees):
      batch_losses = []
      for tree in trees:
          losses, _ = self.losses_for_tree(tree, summation=False)
          batch_losses += losses
      return dy.esum(batch_losses)
  
file_path: dynet/examples/treelstm/model.py
imports: import dynet
  import numpy
  import os
label_desc: Use image node_id 4 for calling the TreeLSTMClassifier obj's underlying member method code with example usage: obj.losses_for_tree_batch(trees) and returns: dy