code: def test_load_and_aggregate_ensemble(self):
      model = evaluator.load_and_aggregate(
          self.ckpt_dir, [1, 2], "ensemble", self._build_toy_model
      )
      softmax = lambda x: np.exp(x) / np.sum(
          np.exp(x), axis=-1, keepdims=True
      )
      expected = (softmax(self.w0) + softmax(self.w1)) / 2
      actual = softmax(model(np.array([[1.0]])))
      self.assertAllClose(expected, actual)
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/evaluator_test.py
imports: import os
  from absl.testing import parameterized
  import gin
  from multi_representation_adversary import evaluator
  from multi_representation_adversary import resnet
  import numpy
  import tensorflow.compat.v2
  import tensorflow_datasets
label_desc: Use image node_id 4 for calling the AggregationTest obj's underlying member method code with example usage: obj.test_load_and_aggregate_ensemble() without return types