code: def test_gelu_10(self):
      x = torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
      torch_builtin = get_activation("gelu")
      gelu10 = get_activation("gelu_10")
  
      y_gelu = torch_builtin(x)
      y_gelu_10 = gelu10(x)
  
      clipped_mask = torch.where(y_gelu_10 < 10.0, 1, 0)
  
      self.assertTrue(torch.max(y_gelu_10).item() == 10.0)
      self.assertTrue(
          torch.allclose(
              y_gelu * clipped_mask, y_gelu_10 * clipped_mask
          )
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/utils/test_activations.py
imports: import unittest
  from transformers import is_torch_available
  from transformers.testing_utils import require_torch
label_desc: Use image node_id 2 for calling the TestActivations obj's underlying member method code with example usage: obj.test_gelu_10() without return types