code: def test_builder_to_backend_smoke(self, use_cpu_only, backend):
      x_val = np.array(
          [
              [
                  [[-16.0, 13.0], [11.0, 16.0]],
                  [[13.0, 15.0], [13.0, 9.0]],
                  [[-9.0, 4.0], [-6.0, 3.0]],
              ]
          ],
          dtype=np.float32,
      )
      input_placeholders = {"x": mb.placeholder(shape=x_val.shape)}
      input_values = {"x": x_val}
  
      def build(x):
          return mb.instance_norm(x=x, epsilon=1e-2)
  
      expected_output_types = [(1, 3, 2, 2, types.fp32)]
      expected_outputs = [
          np.array(
              [
                  [
                      [
                          [-1.71524656, 0.54576027],
                          [0.38982874, 0.77965748],
                      ],
                      [
                          [0.22917463, 1.14587319],
                          [0.22917463, -1.60422242],
                      ],
                      [
                          [-1.2470212, 1.06887531],
                          [-0.71258354, 0.89072943],
                      ],
                  ]
              ],
              dtype=np.float32,
          )
      ]
  
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs,
          use_cpu_only=use_cpu_only,
          backend=backend,
      )
  
file_path: turicreate/src/external/coremltools_wrap/coremltools/coremltools/converters/mil/mil/ops/tests/test_normalization.py
imports: 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 1 for calling the TestNormalizationInstanceNorm obj's underlying member method code with example usage: obj.test_builder_to_backend_smoke(use_cpu_only, backend) and returns: mb