Disable auto_shard for MirroredStrategy by default.

We will re-enable it when it is more robust.

PiperOrigin-RevId: 214956066

1 files changed, 6 insertions, 2 deletions

diff --git a/tensorflow/contrib/distribute/python/mirrored_strategy.py b/tensorflow/contrib/distribute/python/mirrored_strategy.py
index 504f45a695..93d42e09a2 100644
--- a/tensorflow/contrib/distribute/python/mirrored_strategy.py
+++ b/tensorflow/contrib/distribute/python/mirrored_strategy.py
@@ -347,6 +347,8 @@ class MirroredStrategy(distribute_lib.DistributionStrategy):
       set, the `configure` method will try to find the best one.
     prefetch_on_device: optional boolean to specify whether to prefetch input
       data to devices.
+    auto_shard_dataset: whether to auto-shard the dataset when there are
+      multiple workers.
   """
 
   def __init__(self,
@@ -354,11 +356,13 @@ class MirroredStrategy(distribute_lib.DistributionStrategy):
                num_gpus=None,
                num_gpus_per_worker=None,
                cross_tower_ops=None,
-               prefetch_on_device=None):
+               prefetch_on_device=None,
+               auto_shard_dataset=False):
     super(MirroredStrategy, self).__init__()
 
     self._cross_tower_ops = cross_tower_ops
     self._prefetch_on_device = prefetch_on_device
+    self._auto_shard_dataset = auto_shard_dataset
     # Rememeber num GPUs which might be needed by `configure` method.
     if num_gpus is not None and num_gpus_per_worker is not None:
       raise ValueError(
@@ -477,7 +481,7 @@ class MirroredStrategy(distribute_lib.DistributionStrategy):
     if self._cluster_spec:
       return values.MultiWorkerDataset(
           partial(self._call_dataset_fn, dataset_fn), self._worker_device_map,
-          self._prefetch_on_device)
+          self._prefetch_on_device, self._auto_shard_dataset)
     else:
       return values.PerDeviceDataset(
           self._call_dataset_fn(dataset_fn),