code: def convert_module_to_f32(l):
      """
      Convert primitive modules to float32, undoing convert_module_to_f16().
      """
      if isinstance(l, (nn.Conv1d, nn.Conv2d, nn.Conv3d)):
          l.weight.data = l.weight.data.float()
          if l.bias is not None:
              l.bias.data = l.bias.data.float()
  
imports: import numpy
  import torch
  import torch.nn
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
  from .None import logger
label_desc: Use image node_id 2 for calling a global function with example usage: convert_module_to_f32(l) without return types