code: def test_builder_to_backend_smoke(self, compute_unit, backend):
      val = np.array([[[[9.0, 5.0], [1.0, 3.0]]]], dtype=np.float32)
      input_placeholders = {"x": mb.placeholder(shape=val.shape)}
      input_values = {"x": val}
  
      def build(x):
          return [
              mb.pixel_unshuffle(x=x, downscale_factor=np.uint32(2))
          ]
  
      expected_output_types = (1, 4, 1, 1, types.fp32)
      expected_outputs = np.array(
          [[[[9.0]], [[5.0]], [[1.0]], [[3.0]]]], dtype=np.float32
      )
  
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs,
          compute_unit=compute_unit,
          backend=backend,
      )
  
file_path: coremltools/coremltools/converters/mil/mil/ops/tests/iOS16/test_tensor_transformation.py
imports: import itertools
  import numpy
  import pytest
  from coremltools._deps import _HAS_TORCH, MSG_TORCH_NOT_FOUND
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil.ops.tests.iOS16 import backends
  from coremltools.converters.mil.mil.ops.tests.testing_utils import run_compare_builder
  from coremltools.converters.mil.mil.types.type_mapping import numpy_type_to_builtin_type
label_desc: Use image node_id 1 for calling the TestPixelUnshuffle obj's underlying member method code with example usage: obj.test_builder_to_backend_smoke(compute_unit, backend) and returns: list