code: def setUp(self):
      super().setUp()
      gc.disable()
      gc.collect()
      self.interesting = set()
      for o in gc.get_objects():
          if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)):
              self.interesting.add(id(o))
      if "cuda" in self._testMethodName:
          self.mem_allocated = torch.cuda.memory_allocated()
  
imports: from functorch.dim import Tensor, Dim, dims, dimlists, stack, DimensionBindError, DimList
  from attn_ft import BertSelfAttention, Linear
  from attn_positional import BertSelfAttention
  from torch.testing._internal.common_utils import TestCase, run_tests, TEST_CUDA
  from unittest import skip, skipIf
  import torch
  import gc
  from functorch._C import dim
  from contextlib import contextmanager
  from time import perf_counter
label_desc: Use image node_id 1 for calling the TestMin obj's underlying member method code with example usage: obj.setUp() without return types