docstr: Test CoFormer model.
docstr_tok: ["Test","CoFormer","model","."]
code: def test_CoFormer(self):
      """
      Test CoFormer model.
      """
      device = "cuda" if torch.cuda.is_available() else "cpu"
      model = create_model(model_name="coformer", vidx_ridx=vidx_ridx)
      x = torch.randn(1, 3, 40, 40).to(device)
      x = nested_tensor_from_tensor_list(x)
      output = model(x, inference=True)
      pred_verb = output["pred_verb"][0]
      pred_noun = output["pred_noun_3"][0]
      pred_bbox = output["pred_bbox"][0]
      pred_bbox_conf = output["pred_bbox_conf"][0]
      self.assertTrue(pred_verb.shape == torch.Size([504]))
      self.assertTrue(pred_noun.shape == torch.Size([6, 9929]))
      self.assertTrue(pred_bbox.shape == torch.Size([6, 4]))
      self.assertTrue(pred_bbox_conf.shape == torch.Size([6, 1]))
  
imports: import unittest
  import torch
  from towhee.models.coformer.coformer import create_model
  from towhee.models.coformer.utils import nested_tensor_from_tensor_list
  from towhee.models.coformer.config import vidx_ridx
label_desc: Use image node_id 1 for calling the CoFormertTest obj's underlying member method code with example usage: obj.test_CoFormer() without return types