code: def testLargeSize(self):
      with self.session(use_gpu=False):
          # Confirm potential integer overflow due to size is handled by op.
          res = sparse_ops.gen_sparse_ops.sparse_slice(
              indices=[[0, 0]],
              values=[0],
              shape=[1, 1],
              start=[2**62, -1],
              size=[2**62, 2**62],
          )
          self.evaluate(res)
  
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 16 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testLargeSize() without return types