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authorGravatar Jianwei Xie <xiejw@google.com>2018-03-29 10:50:46 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-03-29 10:52:55 -0700
commit63dffd5a3bc4e94e74cb140cbf7a68e0e5644ad6 (patch)
tree087e334cd7e71d44cdcd1ce5ebab483768fcf474 /tensorflow/contrib/estimator
parent9fbb5b3b8fef1caa2ee2ca4a0f8dde900d1f2aa5 (diff)
Automated g4 rollback of changelist 190858242
PiperOrigin-RevId: 190953197
Diffstat (limited to 'tensorflow/contrib/estimator')
-rw-r--r--tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py b/tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py
index e0fae2c992..fa2697800e 100644
--- a/tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py
+++ b/tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py
@@ -136,7 +136,7 @@ def replicate_model_fn(model_fn,
the train_op argument of `EstimatorSpec`.
loss_reduction: controls whether losses are summed or averaged.
devices: Optional list of devices to replicate the model across. This
- argument can be used to replice only on the subset of available GPUs.
+ argument can be used to replicate only on the subset of available GPUs.
If `None`, then all available GPUs are going to be used for replication.
If no GPUs are available, then the model is going to be placed on the CPU.