class_docstr: avoid name collision on batch size param of super class
class_docstr_tok: ["avoid","name","collision","on","batch","size","param","of","super","class"]
code: def __init__(self, loss_fn):
      super().__init__(loss_fn)
  
imports: import logging
  from ignite.metrics import Loss
  from transfer_nlp.plugins.config import register_plugin
label_desc: Use image node_id 1 to create a new LossMetric object from inherited base classes: Loss with example: obj = LossMetric(loss_fn)