code: def testSliceEmpty(self):
      with test_util.use_gpu():
          sp_empty = self._SparseTensor_4x6_empty()
          sp_input = self._SparseTensor_4x6()
          sparse_tensor0 = sparse_ops.sparse_slice(
              sp_empty, [0, 0], [4, 1]
          )
          sparse_tensor1 = sparse_ops.sparse_slice(
              sp_input, [1, 1], [0, 0]
          )
          sparse_tensor2 = sparse_ops.sparse_slice(
              sp_input, [2, 1], [2, 1]
          )
          empty_inds = np.empty(shape=(0, 2), dtype=np.int64)
          self.assertAllEqual(sparse_tensor0.indices, empty_inds)
          self.assertAllEqual(sparse_tensor0.values, [])
          self.assertAllEqual(sparse_tensor0.dense_shape, [4, 1])
          self.assertAllEqual(sparse_tensor1.indices, empty_inds)
          self.assertAllEqual(sparse_tensor1.values, [])
          self.assertAllEqual(sparse_tensor1.dense_shape, [0, 0])
          self.assertAllEqual(sparse_tensor2.indices, empty_inds)
          self.assertAllEqual(sparse_tensor2.values, [])
          self.assertAllEqual(sparse_tensor2.dense_shape, [2, 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 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 12 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testSliceEmpty() without return types