code: def testSplitMatrixUnevenRows(self):
      for axis in (0, -2):
          sp_tensors_2 = self.evaluate(
              sparse_ops.sparse_split(
                  sp_input=self._SparseTensor_5x7(),
                  num_split=2,
                  axis=axis,
              )
          )
          self.assertAllEqual(
              sp_tensors_2[0].indices,
              [
                  [0, 0],
                  [0, 2],
                  [0, 4],
                  [0, 5],
                  [1, 1],
                  [1, 3],
                  [1, 4],
                  [1, 6],
                  [2, 0],
                  [2, 3],
                  [2, 5],
              ],
          )
          self.assertAllEqual(
              sp_tensors_2[0].values,
              [0, 2, 4, 5, 11, 13, 14, 16, 20, 23, 25],
          )
          self.assertAllEqual(sp_tensors_2[0].dense_shape, [3, 7])
          self.assertAllEqual(
              sp_tensors_2[1].indices,
              [[0, 0], [0, 2], [0, 3], [0, 5], [1, 1], [1, 4], [1, 6]],
          )
          self.assertAllEqual(
              sp_tensors_2[1].values, [30, 32, 33, 35, 41, 44, 46]
          )
          self.assertAllEqual(sp_tensors_2[1].dense_shape, [2, 7])
          self.assertAllEqual(len(sp_tensors_2), 2)
          sp_tensors_3 = sparse_ops.sparse_split(
              sp_input=self._SparseTensor_5x7(), num_split=3, axis=axis
          )
          self.assertAllEqual(len(sp_tensors_3), 3)
          self.assertAllEqual(
              sp_tensors_3[0].indices,
              [
                  [0, 0],
                  [0, 2],
                  [0, 4],
                  [0, 5],
                  [1, 1],
                  [1, 3],
                  [1, 4],
                  [1, 6],
              ],
          )
          self.assertAllEqual(
              sp_tensors_3[0].values, [0, 2, 4, 5, 11, 13, 14, 16]
          )
          self.assertAllEqual(sp_tensors_3[0].dense_shape, [2, 7])
  
          self.assertAllEqual(
              sp_tensors_3[1].values, [20, 23, 25, 30, 32, 33, 35]
          )
          self.assertAllEqual(sp_tensors_3[1].dense_shape, [2, 7])
          self.assertAllEqual(
              sp_tensors_3[2].indices, [[0, 1], [0, 4], [0, 6]]
          )
          self.assertAllEqual(sp_tensors_3[2].values, [41, 44, 46])
          self.assertAllEqual(sp_tensors_3[2].dense_shape, [1, 7])
  
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 8 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj.testSplitMatrixUnevenRows() without return types