code: def test_triplet_loss(self):
      feature = torch.Tensor([[1, 1], [1, 1], [0, 0], [0, 0]])
      label = torch.Tensor([1, 1, 0, 0])
  
      loss = TripletLoss(margin=0.3, loss_weight=1.0)
      assert torch.allclose(loss(feature, label), torch.tensor(0.0))
  
      label = torch.Tensor([1, 0, 1, 0])
      assert torch.allclose(loss(feature, label), torch.tensor(1.7142))
  
imports: from unittest import TestCase
  import torch
  from mmdet.models import TripletLoss
label_desc: Use image node_id 1 for calling the TestTripletLoss obj's underlying member method code with example usage: obj.test_triplet_loss() without return types