code: def _SparseTensor_5x7(self):
      # [0 |  |2 |  |4 |5 |  ]
      # [  |11|  |13|14|  |16]
      # [20|  |  |23|  |25|  ]
      # [30|  |32|33|  |35|  ]
      # [  |41|  |  |44|  |46]
      ind = np.array(
          [
              [0, 0],
              [0, 2],
              [0, 4],
              [0, 5],
              [1, 1],
              [1, 3],
              [1, 4],
              [1, 6],
              [2, 0],
              [2, 3],
              [2, 5],
              [3, 0],
              [3, 2],
              [3, 3],
              [3, 5],
              [4, 1],
              [4, 4],
              [4, 6],
          ]
      ).astype(np.int64)
      val = np.array(
          [
              0,
              2,
              4,
              5,
              11,
              13,
              14,
              16,
              20,
              23,
              25,
              30,
              32,
              33,
              35,
              41,
              44,
              46,
          ]
      ).astype(np.int64)
      shape = np.array([5, 7]).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 2 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj._SparseTensor_5x7() and returns: sparse_tensor