code: def test_attn_cuda(self):
      # size from the BERT paper, 90% pretraining of sequence length 128
      self.attn(
          batch_size=256,
          hidden_size=768,
          sequence_length=128,
          num_attention_heads=12,
          device="cuda",
          time=measure_perf,
          linear=torch.nn.Linear,
      )
  
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 8 for calling the TestMin obj's underlying member method code with example usage: obj.test_attn_cuda() without return types