code: def test_is_batch_of_vectors(self, experiment_params):
      shape, true_result = experiment_params
      t = tf.zeros(shape)
      computed_result = einsum_utils._is_batch_of_vectors(t)
      self.assertEqual(computed_result, true_result)
  
file_path: privacy/tensorflow_privacy/privacy/fast_gradient_clipping/registry_functions/einsum_utils_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.fast_gradient_clipping.registry_functions import einsum_utils
label_desc: Use image node_id 1 for calling the EinsumUtilsTest obj's underlying member method code with example usage: obj.test_is_batch_of_vectors(experiment_params) without return types