code: def forward(ctx, x, G, weight, bias, eps, act=""):
      return super(GroupNormOnePass, GroupNormOnePass).forward(
          ctx, x, G, weight, bias, eps, act, group_norm_cuda.OnePass
      )
  
imports: import torch
  import torch.nn.functional
  import torch.nn.init
  import group_norm_cuda
  from torch import Tensor
  from torch.nn.parameter import Parameter
  from torch._dynamo import disable
  from functools import partial
label_desc: Use image node_id 1 for calling the GroupNormOnePass obj's underlying member method code with example usage: obj.forward(ctx, x, G, weight, bias, eps, act) and returns: super