code: def __init__(self, num_groups, num_channels, swish, eps=1e-5):
      super().__init__(
          num_groups=num_groups, num_channels=num_channels, eps=eps
      )
      self.swish = swish
  
file_path: glide-text2im/glide_text2im/nn.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new GroupNorm32 object from inherited base classes: nn with example: obj = GroupNorm32(num_groups, num_channels, swish, eps)