code: def testNegativeSize(self):
      with self.session(use_gpu=False):
          with self.assertRaises(errors.InvalidArgumentError):
              res = sparse_ops.gen_sparse_ops.sparse_slice(
                  indices=[[0, 0]],
                  values=[0],
                  shape=[1, 1],
                  start=[10, 10],
                  size=[-100, 100],
              )
              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 15 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testNegativeSize() without return types