code: def _SparseTensor_4x6(self):
      # [0 |  |2 |  |4 |5 ]
      # [  |11|  |13|14|  ]
      # [20|  |  |23|  |25]
      # [30|  |32|33|  |35]
      ind = np.array(
          [
              [0, 0],
              [0, 2],
              [0, 4],
              [0, 5],
              [1, 1],
              [1, 3],
              [1, 4],
              [2, 0],
              [2, 3],
              [2, 5],
              [3, 0],
              [3, 2],
              [3, 3],
              [3, 5],
          ]
      ).astype(np.int64)
      val = np.array(
          [0, 2, 4, 5, 11, 13, 14, 20, 23, 25, 30, 32, 33, 35]
      ).astype(np.int64)
      shape = np.array([4, 6]).astype(np.int64)
      return sparse_tensor.SparseTensor(ind, val, shape)
  
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 1 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj._SparseTensor_4x6() and returns: sparse_tensor