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author | Priya Gupta <priyag@google.com> | 2018-06-20 23:40:35 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-20 23:43:45 -0700 |
commit | 4e071b268b8707b388e11f618d847c1f80199063 (patch) | |
tree | ca9e16493d96948198ebbd630348f0377cf0e76a /tensorflow/contrib/distribute/python/values.py | |
parent | f786d43494eafe5d4192e7c9f43385a2d1335595 (diff) |
Update mnist eager example with mirrored strategy as some of the methods it was using are now deprecated.
PiperOrigin-RevId: 201478331
Diffstat (limited to 'tensorflow/contrib/distribute/python/values.py')
-rw-r--r-- | tensorflow/contrib/distribute/python/values.py | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/tensorflow/contrib/distribute/python/values.py b/tensorflow/contrib/distribute/python/values.py index 72def62c79..389b01d3cd 100644 --- a/tensorflow/contrib/distribute/python/values.py +++ b/tensorflow/contrib/distribute/python/values.py @@ -26,7 +26,6 @@ import weakref import six -from tensorflow.contrib.data.python.ops import batching from tensorflow.contrib.distribute.python import input_ops from tensorflow.contrib.distribute.python import prefetching_ops_v2 from tensorflow.python.eager import context @@ -614,8 +613,7 @@ class PerDeviceDataset(object): # TODO(priyag): If dropping remainder is not appropriate, find another # approach to distributing the dataset when not possible to divide evenly. # Possibly not an issue when we start using PartitionedDataset. - self._dataset = dataset.apply( - batching.batch_and_drop_remainder(len(devices))) + self._dataset = dataset.batch(len(devices), drop_remainder=True) def make_one_shot_iterator(self): """Get a one time use iterator for the distributed PerDeviceDataset.""" |