code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.softmax_bias = nn.Parameter(
          torch.ones(
              [
                  1,
              ]
          )
      )
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from mmengine.model.weight_init import caffe2_xavier_init, kaiming_init
  from torch.nn import init
  from mmdet.registry import MODELS
label_desc: Use image node_id 1 to create a new GroupInstanceSoftBranch object from inherited base classes: GroupInstanceBranch with example: obj = GroupInstanceSoftBranch()