code: def __init__(
      self,
      num_features,
      num_groups=1,
      eps=1e-5,
      momentum=0.1,
      affine=False,
      track_running_stats=False,
  ):
      self.num_groups = num_groups
      self.track_running_stats = track_running_stats
      super(_GroupNorm, self).__init__(
          int(num_features / num_groups), eps, momentum, affine
      )
  
file_path: pywick/pywick/functions/group_norm.py
imports: import torch
  import torch.nn.functional
  from torch.nn.modules.batchnorm import _BatchNorm
label_desc: Use image node_id 1 to create a new _GroupNorm object from inherited base classes: _BatchNorm with example: obj = _GroupNorm(num_features, num_groups, eps, momentum, affine, track_running_stats)