code: def convert_module_to_f16(l):
      """
      Convert primitive modules to float16.
      """
      if isinstance(l, (nn.Conv1d, nn.Conv2d, nn.Conv3d)):
          l.weight.data = l.weight.data.half()
          l.bias.data = l.bias.data.half()
  
file_path: improved-diffusion/improved_diffusion/fp16_util.py
imports: import torch.nn
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
label_desc: Use image node_id 1 for calling a global function with example usage: convert_module_to_f16(l) without return types