code: def test_performer_attention():
      x = torch.randn(1, 4, 16)
      mask = torch.ones([1, 4], dtype=torch.bool)
      attn = PerformerAttention(channels=16, heads=4)
      out = attn(x, mask)
      assert out.shape == (1, 4, 16)
      assert str(attn) == (
          "PerformerAttention(heads=4, "
          "head_channels=64 kernel=ReLU())"
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_performer_attention() without return types