message: Enable sparse_fill_empty_rows tests on GPU
diff: @@ -502,7 +502,7 @@ class SparseFillEmptyRowsTest(test_util.TensorFlowTestCase):
  constant_op.constant(shape, dtypes.int64))
  def testFillNumber(self):
  - with test_util.force_cpu():
  + with test_util.use_gpu():
  for sp_input in (self._SparseTensorValue_5x6(), self._SparseTensor_5x6()):
  sp_output, empty_row_indicator = (
  sparse_ops.sparse_fill_empty_rows(sp_input, -1))
  @@ -520,7 +520,7 @@ class SparseFillEmptyRowsTest(test_util.TensorFlowTestCase):
  @test_util.run_deprecated_v1
  def testFillFloat(self):
  - with self.session(use_gpu=False):
  + with self.session(use_gpu=True):
  values = constant_op.constant(
  [0.0, 10.0, 13.0, 14.0, 32.0, 33.0], dtype=dtypes.float64)
  default_value = constant_op.constant(-1.0, dtype=dtypes.float64)
  @@ -572,7 +572,7 @@ class SparseFillEmptyRowsTest(test_util.TensorFlowTestCase):
  np.array([0, 0, 1, 0, 1]).astype(np.bool))
  def testNoEmptyRows(self):
  - with test_util.force_cpu():
  + with test_util.use_gpu():
  sp_input = self._SparseTensor_2x6()
  sp_output, empty_row_indicator = (
  sparse_ops.sparse_fill_empty_rows(sp_input, -1))
  @@ -586,7 +586,7 @@ class SparseFillEmptyRowsTest(test_util.TensorFlowTestCase):
  self.assertAllEqual(empty_row_indicator_out, np.zeros(2).astype(np.bool))
  def testNoEmptyRowsAndUnordered(self):
  - with test_util.force_cpu():
  + with test_util.use_gpu():
  sp_input = sparse_tensor.SparseTensor(
  indices=np.array([[1, 2], [1, 3], [0, 1], [0, 3]]),
  values=np.array([1, 3, 2, 4]),
  