code: def test_expand_dims_different_data_types(
      self, compute_unit, backend, x_dtype
  ):
      axis = 1
      x_val = np.random.randint(low=2, high=6, size=(2, 3, 4)).astype(
          x_dtype
      )
      x_builtin_dtype = numpy_type_to_builtin_type(x_dtype)
      input_placeholders = {
          "x": mb.placeholder(shape=x_val.shape, dtype=x_builtin_dtype)
      }
      input_values = {"x": x_val}
  
      def build(x):
          return mb.expand_dims(x=x, axes=[axis])
  
      x_shape = list(x_val.shape)
      out_shape = x_shape[:axis] + [1] + x_shape[axis:]
      expected_output_types = tuple(out_shape[:]) + (x_builtin_dtype,)
      expected_outputs = np.expand_dims(input_values["x"], axis)
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs,
          compute_unit=compute_unit,
          backend=backend,
      )
  
imports: import itertools
  import numpy
  import pytest
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil.ops.tests.iOS14.test_tensor_transformation import TestSliceByIndex
  from coremltools.converters.mil.mil.ops.tests.iOS14.test_tensor_transformation import TestSliceBySize
  from coremltools.converters.mil.mil.ops.tests.iOS16.test_tensor_transformation import TestReshapeLike
  from coremltools.converters.mil.mil.ops.tests.iOS17 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
  from coremltools.converters.mil.testing_reqs import compute_units
label_desc: Use image node_id 1 for calling the TestExpandDims obj's underlying member method code with example usage: obj.test_expand_dims_different_data_types(compute_unit, backend, x_dtype) and returns: mb