code: def test_nn_set_softmax_updatable_invalid(self):
      nn_builder = self.create_base_builder()
      nn_builder.add_softmax(
          name="softmax",
          input_name="output",
          output_name="softmax_output",
      )
  
      # fails since marking softmax as updatable layer is not allowed
      with self.assertRaises(ValueError):
          nn_builder.make_updatable(["softmax"])
  
imports: import os
  import shutil
  import tempfile
  import unittest
  import numpy
  import coremltools.models.datatypes
  from coremltools.models import MLModel
  from coremltools.models.neural_network import AdamParams, NeuralNetworkBuilder, SgdParams, quantization_utils
  from coremltools.models.pipeline import PipelineClassifier, PipelineRegressor
  from coremltools.models.utils import save_spec
label_desc: Use image node_id 10 for calling the MLModelUpdatableTest obj's underlying member method code with example usage: obj.test_nn_set_softmax_updatable_invalid() without return types