code: def test_set_input(self):
      builder = self._build_nn_with_one_ip_layer()
      builder.set_input(input_names=["data_renamed"], input_dims=[(2,)])
  
      self.assertEquals(
          builder.spec.description.input[0].type.multiArrayType.shape[
              0
          ],
          2,
      )
      self.assertEquals(
          builder.spec.description.input[0].name, "data_renamed"
      )
  
imports: import unittest
  import numpy
  import coremltools
  from coremltools.models import datatypes, MLModel
  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 _macos_version, _is_macos
  from coremltools.converters.mil.backend.nn.op_mapping import to_py_type
label_desc: Use image node_id 3 for calling the BasicNumericCorrectnessTest obj's underlying member method code with example usage: obj.test_set_input() without return types