code: def testExpandTensor(self, block_dim):
      weights = tf.random.normal(shape=[1024, 512])
      self._compare_expand_tensor_with_kronecker_product(
          weights, block_dim
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_utils
label_desc: Use image node_id 5 for calling the PruningUtilsParameterizedTest obj's underlying member method code with example usage: obj.testExpandTensor(block_dim) without return types