code: def supports_memory_efficient_fp16(self):
      if hasattr(self.optimizer, "supports_memory_efficient_fp16"):
          return self.optimizer.supports_memory_efficient_fp16
      return False
  
imports: import torch
  from fairseq import utils
  from fairseq.dataclass.utils import gen_parser_from_dataclass
  from collections import defaultdict
label_desc: Use image node_id 19 for calling the FairseqOptimizer obj's underlying member method code with example usage: obj.supports_memory_efficient_fp16() and returns: False, self