code: def testFetchToDifferentCacheID(self):
      cache_ids = [0, 2, 4, 8]
      evict_ids = torch.tensor(
          [[100, 0], [101, 2], [102, 4], [103, 8]], dtype=torch.long
      )
      tensor = torch.rand((10, 4))
      origin_tensor = tensor.clone()
      ps = PS("table", [tensor], "memory://", 1024)
      ps.evict(evict_ids)
      tensor[:, :] = 0
      new_cache_ids = [1, 3, 5, 7]
      fetch_ids = torch.tensor(
          [[100, 1], [101, 3], [102, 5], [103, 7]], dtype=torch.long
      )
      ps.fetch(fetch_ids, 0).wait()
      self.assertTrue(
          torch.allclose(
              tensor[new_cache_ids], origin_tensor[cache_ids]
          )
      )
  
file_path: torchrec/contrib/dynamic_embedding/tests/test_ps.py
imports: import unittest
  import torch
  from torchrec_dynamic_embedding.ps import PS
  from utils import register_memory_io
label_desc: Use image node_id 3 for calling the TestPS obj's underlying member method code with example usage: obj.testFetchToDifferentCacheID() without return types