docstr: The GARetinaHead inherit loss and prediction function from
  GuidedAchorHead.
  
  Here, we only test GARetinaHet initialization and forward.
docstr_tok: ["The","GARetinaHead","inherit","loss","and","prediction","function","from","GuidedAchorHead",".","Here",",","we","only","test","GARetinaHet","initialization","and","forward","."]
code: def test_ga_retina_head_init_and_forward(self):
      """The GARetinaHead inherit loss and prediction function from
      GuidedAchorHead.
  
      Here, we only test GARetinaHet initialization and forward.
      """
      # Test initializaion
      ga_retina_head = GARetinaHead(**ga_retina_head_config)
  
      # Test forward
      s = 256
      feats = (
          torch.rand(1, 4, s // stride[1], s // stride[0])
          for stride in ga_retina_head.square_anchor_generator.strides
      )
      ga_retina_head(feats)
  
imports: from unittest import TestCase
  import torch
  from mmengine.config import ConfigDict
  from mmdet.models.dense_heads import GARetinaHead
label_desc: Use image node_id 1 for calling the TestGARetinaHead obj's underlying member method code with example usage: obj.test_ga_retina_head_init_and_forward() without return types