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-rw-r--r--tensorflow/contrib/gan/python/features/python/random_tensor_pool_impl.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/gan/python/features/python/random_tensor_pool_impl.py b/tensorflow/contrib/gan/python/features/python/random_tensor_pool_impl.py
index 4cfae0de44..9e4ec59e70 100644
--- a/tensorflow/contrib/gan/python/features/python/random_tensor_pool_impl.py
+++ b/tensorflow/contrib/gan/python/features/python/random_tensor_pool_impl.py
@@ -17,7 +17,7 @@
We use this to keep a history of values created by a generator, such that
a discriminator can randomly be trained on some older samples, not just the
current one. This can help to not let the discriminator get too far ahead of the
-generator and also to keep the system from oscilating, if the discriminator
+generator and also to keep the system from oscillating, if the discriminator
forgets too fast what past samples from the generator looked like.
See the following papers for more details.
@@ -97,7 +97,7 @@ def tensor_pool(input_values,
dtypes=[v.dtype for v in input_values],
shapes=None)
- # In pseudeo code this code does the following:
+ # In pseudo code this code does the following:
# if not pool_full:
# enqueue(input_values)
# return input_values