code: def testSplitTensorValueDense(self):
      split_tensor_values = util.split_tensor_value(
          np.ndarray(
              shape=(3, 2), buffer=np.array([2, 4, 6, 8, 10, 12])
          )
      )
      self.assertAllEqual(
          [
              np.ndarray(shape=(1, 2), buffer=np.array([2, 4])),
              np.ndarray(shape=(1, 2), buffer=np.array([6, 8])),
              np.ndarray(shape=(1, 2), buffer=np.array([10, 12])),
          ],
          split_tensor_values,
      )
  
file_path: model-analysis/tensorflow_model_analysis/eval_saved_model/util_test.py
imports: import numpy
  import tensorflow
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.eval_saved_model import util
  from tensorflow.core.example import example_pb2
label_desc: Use image node_id 2 for calling the UtilTest obj's underlying member method code with example usage: obj.testSplitTensorValueDense() without return types