code: def _fake_mask_feature_head():
      mask_feature_head = ConfigDict(
          feat_channels=128,
          start_level=0,
          end_level=3,
          out_channels=256,
          mask_stride=4,
          norm_cfg=dict(type="GN", num_groups=32, requires_grad=True),
      )
      return mask_feature_head
  
file_path: mmdetection/tests/test_models/test_dense_heads/test_solov2_head.py
imports: from unittest import TestCase
  import numpy
  import torch
  from mmengine.config import ConfigDict
  from mmengine.structures import InstanceData
  from mmdet import *
  from mmdet.models.dense_heads import SOLOV2Head
  from mmdet.structures.mask import BitmapMasks
label_desc: Use image node_id 2 for calling a global function with example usage: _fake_mask_feature_head() and returns: mask_feature_head