code: def test_builder_to_backend_smoke(self, compute_unit, backend):
      shape = (2, 1, 3)
      x_val = np.zeros(shape=shape, dtype=np.float32)
      input_placeholders = {
          "x": mb.placeholder(shape=x_val.shape, dtype=types.int32)
      }
  
      input_values = {"x": x_val}
  
      def build(x):
          return mb.fill_like(ref_tensor=x, value=1.0)
  
      expected_output_types = [(2, 1, 3, types.fp32)]
      expected_outputs = [np.full(shape=shape, fill_value=1.0)]
  
      mlmodel = 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_operation.py
imports: import itertools
  import numpy
  import pytest
  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
label_desc: Use image node_id 1 for calling the TestFillLike obj's underlying member method code with example usage: obj.test_builder_to_backend_smoke(compute_unit, backend) and returns: mb