code: def testGradients(self):
      sp_input = self._SparseTensor_4x6(val_dtype=np.float32)
      start_and_size = [
          ([0, 0], [4, 2]),
          ([0, 2], [5, 2]),
          ([0, 4], [5, 3]),
      ]
  
      with self.session():
          for start, size in start_and_size:
              sp_output = sparse_ops.sparse_slice(sp_input, start, size)
              nnz_in = len(self.evaluate(sp_input.values))
              nnz_out = len(self.evaluate(sp_output.values))
  
              err = gradient_checker.compute_gradient_error(
                  [sp_input.values],
                  [(nnz_in,)],
                  sp_output.values,
                  (nnz_out,),
              )
              self.assertLess(err, 1e-3)
  
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 gradient_checker
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.sparse_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testGradients() without return types