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-rw-r--r--tensorflow/python/ops/candidate_sampling_ops.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/python/ops/candidate_sampling_ops.py b/tensorflow/python/ops/candidate_sampling_ops.py
index 3053a333bf..d6294c24f5 100644
--- a/tensorflow/python/ops/candidate_sampling_ops.py
+++ b/tensorflow/python/ops/candidate_sampling_ops.py
@@ -249,7 +249,7 @@ def fixed_unigram_candidate_sampler(true_classes,
`distortion = 1.0` gives regular unigram sampling (as defined by the vocab
file), and `distortion = 0.0` gives a uniform distribution.
num_reserved_ids: Optionally some reserved IDs can be added in the range
- `[0, num_reserved_ids]` by the users. One use case is that a special
+ `[0, num_reserved_ids)` by the users. One use case is that a special
unknown word token is used as ID 0. These IDs will have a sampling
probability of 0.
num_shards: A sampler can be used to sample from a subset of the original