code: def test_set_output(self):
      builder = self._build_nn_with_one_ip_layer()
      builder.set_output(
          output_names=["out_renamed"], output_dims=[(2,)]
      )
  
      self.assertEqual(
          builder.spec.description.output[0].type.multiArrayType.shape[
              0
          ],
          2,
      )
      self.assertEqual(
          builder.spec.description.output[0].name, "out_renamed"
      )
  
imports: import numpy
  import pytest
  import unittest
  import coremltools
  from coremltools import ComputeUnit
  from coremltools.converters.mil.mil.types.type_mapping import np_val_to_py_type
  from coremltools.models import MLModel, datatypes
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from coremltools.models.neural_network.quantization_utils import _convert_array_to_nbit_quantized_bytes, quantize_weights
  from coremltools.models.utils import _is_macos, _macos_version
label_desc: Use image node_id 5 for calling the BasicNumericCorrectnessTest obj's underlying member method code with example usage: obj.test_set_output() without return types