code: def testEvict(self):
      num_embedding = 9
      transformer = IDTransformer(
          num_embedding,
          transform_config={
              "type": "naive",
          },
      )
      global_ids = torch.tensor([1, 2, 3, 4], dtype=torch.long)
      cache_ids = torch.empty_like(global_ids)
      result = transformer.transform(
          TensorList([global_ids]), TensorList([cache_ids]), 0
      )
      self.assertTrue(result.success)
  
      global_ids = torch.tensor([1, 3, 5, 7], dtype=torch.long)
      result = transformer.transform(
          TensorList([global_ids]), TensorList([cache_ids]), 1
      )
      self.assertTrue(result.success)
  
      num_to_evict = 2
      evicted_tensor = transformer.evict(num_to_evict)
      self.assertEqual(num_to_evict, evicted_tensor.shape[0])
      evicted_ids = sorted(evicted_tensor.tolist())
      self.assertEqual(evicted_ids, [[2, 1], [4, 3]])
  
file_path: torchrec/contrib/dynamic_embedding/tests/test_id_transformer.py
imports: import unittest
  import torch
  from torchrec_dynamic_embedding.id_transformer import IDTransformer
  from torchrec_dynamic_embedding.tensor_list import TensorList
label_desc: Use image node_id 3 for calling the TestIDTransformer obj's underlying member method code with example usage: obj.testEvict() without return types