code: def forward(self, *inputs, **kwargs):
      return fp16_to_fp32(
          self.module(*(fp32_to_fp16(inputs)), **kwargs)
      )
  
imports: import torch
  from torch import nn
  from torch.autograd import Variable
  from torch.nn.parameter import Parameter
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
  from common.loss_scaler import DynamicLossScaler, LossScaler
label_desc: Use image node_id 2 for calling the FP16_Module obj's underlying member method code with example usage: obj.forward() and returns: fp16_to_fp32