code: def test_test_accuracy(self):
      model = snt.Sequential(
          [
              snt.Flatten(),
              snt.Linear(10),
          ]
      )
      dataset = (
          tf.data.Dataset.from_tensor_slices(
              (
                  tf.random.normal([2, 8, 8, 1]),
                  tf.ones([2], dtype=tf.int64),
              )
          )
          .batch(2)
          .repeat(4)
      )
  
      outputs = simple_mnist.test_accuracy(model, dataset)
      self.assertEqual(len(outputs), 2)
  
file_path: sonnet/examples/simple_mnist_test.py
imports: import sonnet
  from examples import simple_mnist
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 3 for calling the SimpleMnistTest obj's underlying member method code with example usage: obj.test_test_accuracy() without return types