code: def test_tensors_match(self):
      t = tf.random.uniform(
          shape=(50, 3),
          maxval=1000,
          dtype=tf.int32,
      )
  
      ds = dataset_utils.as_numpy({"a": t, "b": t})
      # sess.run() should be called a single time for all input. Otherwise input
      # and target may not match
      self.assertAllEqual(ds["a"], ds["b"])
  
imports: from etils import enp
  import numpy
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import dataset_utils
label_desc: Use image node_id 9 for calling the DatasetAsNumPyTest obj's underlying member method code with example usage: obj.test_tensors_match() without return types