code: def _SparseTensorValue_3x4x2(self):
      #  slice(:,:, 0)
      #  ['a0'|    |'b0'|    ]
      #  [    |'c0'|    |'d0']
      #  [    |    |'e0'|    ]
      #  slice(:,:, 1)
      #  ['a1'|    |'b1'|    ]
      #  [    |'c1'|    |'d1']
      #  [    |    |'e1'|    ]
      ind = np.array(
          [
              [0, 0, 0],
              [0, 0, 1],
              [0, 2, 0],
              [0, 2, 1],
              [1, 1, 0],
              [1, 1, 1],
              [1, 3, 0],
              [1, 3, 1],
              [2, 2, 0],
              [2, 2, 1],
          ]
      ).astype(np.int64)
      val = np.array(
          ["a0", "a1", "b0", "b1", "c0", "c1", "d0", "d1", "e0", "e1"]
      )
      shape = np.array([3, 4, 2]).astype(np.int64)
      return sparse_tensor.SparseTensorValue(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 3 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj._SparseTensorValue_3x4x2() and returns: sparse_tensor