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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-05-01 17:59:59 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-05-01 18:02:37 -0700
commitc8ae9e86f33053484b05e405dadd2c8a98b8b41b (patch)
treec02526a70e590940bdcb34300c6680d93af4fe99 /tensorflow/contrib/factorization
parent92939c55e47b10c6d1ccd82bb31d877efca12235 (diff)
Internal change
PiperOrigin-RevId: 195028221
Diffstat (limited to 'tensorflow/contrib/factorization')
-rw-r--r--tensorflow/contrib/factorization/python/ops/factorization_ops.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/factorization_ops.py b/tensorflow/contrib/factorization/python/ops/factorization_ops.py
index 811fa89bc3..5cef4068ed 100644
--- a/tensorflow/contrib/factorization/python/ops/factorization_ops.py
+++ b/tensorflow/contrib/factorization/python/ops/factorization_ops.py
@@ -107,7 +107,7 @@ class WALSModel(object):
# the prep_gramian_op for row(column) can be run.
worker_init_op = model.worker_init
- # To be run once per integration sweep before the row(column) update
+ # To be run once per iteration sweep before the row(column) update
# initialize ops can be run. Note that in the distributed training
# situations, this should only be run by the chief trainer. All other
# trainers need to block until this is done.
@@ -436,7 +436,7 @@ class WALSModel(object):
gramian: Variable storing the gramian calculated from the factors.
Returns:
- A op that updates the gramian with the calculated value from the factors.
+ An op that updates the gramian with the calculated value from the factors.
"""
partial_gramians = []
for f in factors: