code: def setUp(self, seed=1234):
      torch.manual_seed(seed)
      torch.cuda.manual_seed_all(seed)
  
      self.seq_length = 80
      self.sequences = 10
      self.hidden_dim = 1024
      self.heads = 16
      self.dropout_prob = 0.0
  
      self.mask = (
          torch.randn(self.sequences, self.seq_length) > 0
      ).cuda()
      self.mask = self.mask.half() * -10000
      self.ref_inputs = torch.randn(
          self.heads * self.sequences,
          self.seq_length,
          self.seq_length,
          dtype=torch.float16,
          device=torch.device("cuda"),
      ).requires_grad_(True)
  
      self.tst_inputs = (
          self.ref_inputs.clone().detach().requires_grad_(True)
      )
  
imports: import unittest
  import torch
  import torch.nn.functional
label_desc: Use image node_id 1 for calling the FusedSoftmaxTest obj's underlying member method code with example usage: obj.setUp(seed) without return types