class_docstr: Float 16 Module.
  
  Attributes:
      config (TransformerConfig): Transformer config
      fp16 (bool) : Specifies if the model runs in fp16 mode
      bf16 (bool) : Specifies if the model runs in bf16 mode
  
  Args:
      config (TransformerConfig): The transformer config used to initalize the model
code: def state_dict(self, destination=None, prefix="", keep_vars=False):
      return self.module.state_dict(
          destination=destination, prefix=prefix, keep_vars=keep_vars
      )
  
imports: import torch
  from torch.autograd import Variable
  from torch.nn.parameter import Parameter
  from megatron.core import parallel_state
  from megatron.core.transformer.transformer_config import TransformerConfig
label_desc: Use image node_id 4 for calling the Float16Module obj's underlying member method code with example usage: obj.state_dict(destination, prefix, keep_vars) and returns: self