code: def testSplitMatrixUnevenCols(self):
      for axis in (1, -1):
          sp_tensors_3 = self.evaluate(
              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], [1, 1], [2, 0], [3, 0], [3, 2], [4, 1]],
          )
          self.assertAllEqual(
              sp_tensors_3[0].values, [0, 2, 11, 20, 30, 32, 41]
          )
          self.assertAllEqual(sp_tensors_3[0].dense_shape, [5, 3])
          self.assertAllEqual(
              sp_tensors_3[1].indices,
              [[0, 1], [1, 0], [1, 1], [2, 0], [3, 0], [4, 1]],
          )
          self.assertAllEqual(
              sp_tensors_3[1].values, [4, 13, 14, 23, 33, 44]
          )
          self.assertAllEqual(sp_tensors_3[1].dense_shape, [5, 2])
          self.assertAllEqual(
              sp_tensors_3[2].indices,
              [[0, 0], [1, 1], [2, 0], [3, 0], [4, 1]],
          )
          self.assertAllEqual(
              sp_tensors_3[2].values, [5, 16, 25, 35, 46]
          )
          self.assertAllEqual(sp_tensors_3[2].dense_shape, [5, 2])
          sp_tensors_4 = sparse_ops.sparse_split(
              sp_input=self._SparseTensor_5x7(), num_split=4, axis=axis
          )
          self.assertAllEqual(len(sp_tensors_4), 4)
          self.assertAllEqual(
              sp_tensors_4[0].indices,
              [[0, 0], [1, 1], [2, 0], [3, 0], [4, 1]],
          )
          self.assertAllEqual(
              sp_tensors_4[0].values, [0, 11, 20, 30, 41]
          )
          self.assertAllEqual(sp_tensors_4[0].dense_shape, [5, 2])
          self.assertAllEqual(
              sp_tensors_4[1].indices,
              [[0, 0], [1, 1], [2, 1], [3, 0], [3, 1]],
          )
          self.assertAllEqual(
              sp_tensors_4[1].values, [2, 13, 23, 32, 33]
          )
          self.assertAllEqual(sp_tensors_4[1].dense_shape, [5, 2])
          self.assertAllEqual(
              sp_tensors_4[2].indices,
              [[0, 0], [0, 1], [1, 0], [2, 1], [3, 1], [4, 0]],
          )
          self.assertAllEqual(
              sp_tensors_4[2].values, [4, 5, 14, 25, 35, 44]
          )
          self.assertAllEqual(sp_tensors_4[2].dense_shape, [5, 2])
          self.assertAllEqual(sp_tensors_4[3].indices, [[1, 0], [4, 0]])
          self.assertAllEqual(sp_tensors_4[3].values, [16, 46])
          self.assertAllEqual(sp_tensors_4[3].dense_shape, [5, 1])
  
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 7 for calling the SparseSplitOpTest obj's underlying member method code with example usage: obj.testSplitMatrixUnevenCols() without return types