code: def testSelfAttention():
      from deepchem.models import SelfAttention as SA
  
      n, in_feature, out_feature = 10, 4, 8
      attn = SA(in_feature, out_feature, hidden_size=16)
      x = torch.randn((n, in_feature))
      x, attn = attn(x)
      assert x.size() == (out_feature, in_feature)
  
label_desc: Use image node_id 2 for calling a global function with example usage: testSelfAttention() without return types