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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-11-09 14:18:18 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-09 14:25:12 -0800 |
| commit | e8ba1356cbbff8c572c6cc614297540185699b20 (patch) | |
| tree | fbfcf2fb1ded23b08a30127889b9dab9d3e933a7 | |
| parent | 430b00d125e03a333aac505e251f4009062f961a (diff) | |
Explicitly set `zero_debias` in moving averages to the default. This CL is a noop.
Change: 138684361
| -rw-r--r-- | tensorflow/contrib/training/python/training/resample.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/training/python/training/resample.py b/tensorflow/contrib/training/python/training/resample.py index 9dd3bef2de..031da4d7de 100644 --- a/tensorflow/contrib/training/python/training/resample.py +++ b/tensorflow/contrib/training/python/training/resample.py @@ -177,7 +177,7 @@ def weighted_resample(inputs, weights, overall_rate, scope=None, batch_mean = math_ops.reduce_mean(weights) mean = moving_averages.assign_moving_average( - estimated_mean, batch_mean, real_decay) + estimated_mean, batch_mean, real_decay, zero_debias=False) # Then, normalize the weights into rates using the mean weight and # overall target rate: |