code: def setUp(self):
      super().setUp()
      self.batch = 2
      self.attn = 16
      self.scale_t = 1.0
      self.dtype = torch.float16
      self.device = torch.cuda.current_device()
      self.thresh = {"atol": 1e-3, "rtol": 1e-3}
  
      qlen = [1, 2]
      klen = [1, 2, 3, 4, 5, 8, 10, 11, 13, 128, 256, 1200, 1234]
      available_cuda_mem = torch.cuda.memory.mem_get_info(self.device)[
          0
      ] / (1024**3)
      if available_cuda_mem > 40:
          qlen.extend([1234, 2322, 2348])
          klen.extend([2048, 3123, 4096, 4128, 7234, 8192])
  
      self.q_k_lens = itertools.product(qlen, klen)
  
imports: import itertools
  import torch
  from torch.testing._internal import common_utils
  from apex.transformer import AttnMaskType
  from apex.transformer.functional import FusedScaleMaskSoftmax
label_desc: Use image node_id 1 for calling the TestGenericFusedSoftmaxKernel obj's underlying member method code with example usage: obj.setUp() without return types