code: def testSplitMatrixRows(self):
      for axis in (0, -2):
          sp_tensors = self.evaluate(
              sparse_ops.sparse_split(
                  sp_input=self._SparseTensor_4x6(),
                  num_split=2,
                  axis=axis,
              )
          )
          self.assertAllEqual(len(sp_tensors), 2)
          self.assertAllEqual(
              sp_tensors[0].indices,
              [[0, 0], [0, 2], [0, 4], [0, 5], [1, 1], [1, 3], [1, 4]],
          )
          self.assertAllEqual(
              sp_tensors[0].values, [0, 2, 4, 5, 11, 13, 14]
          )
          self.assertAllEqual(sp_tensors[0].dense_shape, [2, 6])
          self.assertAllEqual(
              sp_tensors[1].indices,
              [[0, 0], [0, 3], [0, 5], [1, 0], [1, 2], [1, 3], [1, 5]],
          )
          self.assertAllEqual(
              sp_tensors[1].values, [20, 23, 25, 30, 32, 33, 35]
          )
          self.assertAllEqual(sp_tensors[1].dense_shape, [2, 6])
  
imports: import numpy
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj.testSplitMatrixRows() without return types