code: def test_builder_to_backend_stress(
      self, use_cpu_only, backend, dim, mode
  ):
      shape = np.array([dim, dim])
      x_val = np.random.rand(*shape)
      input_placeholders = {"x": mb.placeholder(shape=x_val.shape)}
      input_values = {"x": x_val}
  
      def build(x):
          return [mb.gelu(x=x, mode=mode)]
  
      if mode == "TANH_APPROXIMATION":
          a = np.sqrt(2 / np.pi) * (
              x_val + 0.044715 * np.power(x_val, 3)
          )
          out = 0.5 * x_val * (1 + np.tanh(a))
      elif mode == "SIGMOID_APPROXIMATION":
          out = x_val * (1 / (1 + np.exp(-(1.702 * x_val))))
      else:
          out = (
              0.5 * x_val * (1 + scipy.special.erf(x_val / np.sqrt(2)))
          )
  
      expected_outputs = [out]
      expected_output_types = [
          o.shape[:] + (types.fp32,) for o in expected_outputs
      ]
  
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs=expected_outputs,
          use_cpu_only=use_cpu_only,
          backend=backend,
          atol=1e-3,
          rtol=1e-3,
      )
  
imports: from scipy import special
  import scipy
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import run_compare_builder
label_desc: Use image node_id 3 for calling the TestGeLU obj's underlying member method code with example usage: obj.test_builder_to_backend_stress(use_cpu_only, backend, dim, mode) and returns: list