code: def testSplitColumns(self):
      for axis in (1, -1):
          sparse_tensors = self.evaluate(
              sparse_ops.sparse_split(
                  sp_input=self._SparseTensor_4x6(),
                  num_split=3,
                  axis=axis,
              )
          )
          self.assertAllEqual(len(sparse_tensors), 3)
          self.assertAllEqual(
              sparse_tensors[0].indices,
              [[0, 0], [1, 1], [2, 0], [3, 0]],
          )
          self.assertAllEqual(sparse_tensors[0].values, [0, 11, 20, 30])
          self.assertAllEqual(sparse_tensors[0].dense_shape, [4, 2])
          self.assertAllEqual(
              sparse_tensors[1].indices,
              [[0, 0], [1, 1], [2, 1], [3, 0], [3, 1]],
          )
          self.assertAllEqual(
              sparse_tensors[1].values, [2, 13, 23, 32, 33]
          )
          self.assertAllEqual(sparse_tensors[1].dense_shape, [4, 2])
          self.assertAllEqual(
              sparse_tensors[2].indices,
              [[0, 0], [0, 1], [1, 0], [2, 1], [3, 1]],
          )
          self.assertAllEqual(
              sparse_tensors[2].values, [4, 5, 14, 25, 35]
          )
          self.assertAllEqual(sparse_tensors[2].dense_shape, [4, 2])
  
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 10 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj.testSplitColumns() without return types