code: def convert_module_to_f16(l):
      """
      Convert primitive modules to float16.
      """
      if isinstance(l, (nn.Linear, nn.Conv2d, nn.ConvTranspose2d)):
          l.weight.data = l.weight.data.half()
          if l.bias is not None:
              l.bias.data = l.bias.data.half()
  
imports: import math
  import torch
  import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: convert_module_to_f16(l) without return types