code: def __init__(self, *args, **kwargs):
      # forward __init__ call to the next class in mro(method resolution order)
      super().__init__(*args, **kwargs)
  
imports: from itertools import chain
  import torch
  from fairseq import utils
  from fairseq.optim.fp16_optimizer import DynamicLossScaler
label_desc: Use image node_id 1 to create a new Fairseq_MemoryEfficientFP16OptimizerMixin object from inherited base classes: object with example: obj = Fairseq_MemoryEfficientFP16OptimizerMixin()