code: def test_builder_to_backend_smoke(
      self, use_cpu_only, backend, is_symbolic
  ):
      x = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32)
  
      input_shape = x.shape
      # is_symbolic = False
      if is_symbolic:
          input_shape = [get_new_symbol(), get_new_symbol()]
  
      input_placeholders = {"x": mb.placeholder(shape=input_shape)}
  
      input_values = {"x": x}
  
      def build(x):
          return [
              mb.transpose(x=x, perm=(0, 1)),
              mb.transpose(x=x, perm=(1, 0)),
              mb.transpose(x=x, perm=(-1, 0)),
              mb.transpose(x=x, perm=(-2, -1)),
          ]
  
      d0 = input_shape[0]
      d1 = input_shape[1]
      expected_output_types = [
          (d0, d1, types.fp32),
          (d1, d0, types.fp32),
          (d1, d0, types.fp32),
          (d0, d1, types.fp32),
      ]
  
      expected_outputs = [x, x.T, x.T, x]
  
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs,
          use_cpu_only=use_cpu_only,
          frontend_only=False,
          backend=backend,
      )
  
imports: from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.mil import get_new_symbol, get_new_variadic_symbol
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import UNK_SYM, UNK_VARIADIC, run_compare_builder
label_desc: Use image node_id 1 for calling the TestTranspose obj's underlying member method code with example usage: obj.test_builder_to_backend_smoke(use_cpu_only, backend, is_symbolic) and returns: list