code: def normalize(in_channels):
      return torch.nn.GroupNorm(
          num_groups=32, num_channels=in_channels, eps=1e-6, affine=True
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from basicsr.utils import get_root_logger
  from basicsr.utils.registry import ARCH_REGISTRY
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(in_channels) and returns: torch