code: def test_big_split(self):
      total = 0
      l = []
      while total < 6400:
          l.append(torch.randint(2, 10, (1,)).item())
          total += l[-1]
      x = torch.randn(total, 1)
      x.split(l, 0)
  
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 39 for calling the TestMin obj's underlying member method code with example usage: obj.test_big_split() without return types