1 files changed, 5 insertions, 40 deletions
diff --git a/tensorflow/contrib/data/python/ops/error_ops.py b/tensorflow/contrib/data/python/ops/error_ops.py
index 6c21e489f7..0559a2e09c 100644
--- a/tensorflow/contrib/data/python/ops/error_ops.py
+++ b/tensorflow/contrib/data/python/ops/error_ops.py
@@ -17,13 +17,11 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-from tensorflow.contrib.data.python.ops import contrib_op_loader  # pylint: disable=unused-import
-from tensorflow.contrib.data.python.ops import gen_dataset_ops
-from tensorflow.python.data.ops import dataset_ops
-from tensorflow.python.data.util import nest
-from tensorflow.python.data.util import sparse
+from tensorflow.python.data.experimental.ops import error_ops
+from tensorflow.python.util import deprecation
 
 
+@deprecation.deprecated(None, "Use `tf.data.experimental.ignore_errors()`.")
 def ignore_errors():
   """Creates a `Dataset` from another `Dataset` and silently ignores any errors.
 
@@ -44,39 +42,6 @@ def ignore_errors():
 
   Returns:
     A `Dataset` transformation function, which can be passed to
-    @{tf.data.Dataset.apply}.
+    `tf.data.Dataset.apply`.
   """
-
-  def _apply_fn(dataset):
-    return IgnoreErrorsDataset(dataset)
-
-  return _apply_fn
-
-
-class IgnoreErrorsDataset(dataset_ops.Dataset):
-  """A `Dataset` that silently ignores errors when computing its input."""
-
-  def __init__(self, input_dataset):
-    """See `Dataset.ignore_errors()` for details."""
-    super(IgnoreErrorsDataset, self).__init__()
-    self._input_dataset = input_dataset
-
-  def _as_variant_tensor(self):
-    return gen_dataset_ops.ignore_errors_dataset(
-        self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
-        output_shapes=nest.flatten(
-            sparse.as_dense_shapes(self.output_shapes, self.output_classes)),
-        output_types=nest.flatten(
-            sparse.as_dense_types(self.output_types, self.output_classes)))
-
-  @property
-  def output_classes(self):
-    return self._input_dataset.output_classes
-
-  @property
-  def output_shapes(self):
-    return self._input_dataset.output_shapes
-
-  @property
-  def output_types(self):
-    return self._input_dataset.output_types
+  return error_ops.ignore_errors()