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| author |  Yifei Feng <yifeif@google.com> | 2018-04-23 21:19:14 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-04-23 21:21:38 -0700 |
| commit | 22f3a97b8b089202f60bb0c7697feb0c8e0713cc (patch) | |
| tree | d16f95826e4be15bbb3b0f22bed0ca25d3eb5897 /tensorflow/python/keras/_impl/keras/layers/normalization.py | |
| parent | 24b7c9a800ab5086d45a7d83ebcd6218424dc9e3 (diff) | |
Merge changes from github.
PiperOrigin-RevId: 194031845
Diffstat (limited to 'tensorflow/python/keras/_impl/keras/layers/normalization.py')
| -rw-r--r-- | tensorflow/python/keras/_impl/keras/layers/normalization.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/keras/_impl/keras/layers/normalization.py b/tensorflow/python/keras/_impl/keras/layers/normalization.py index 5462a95d7d..c16fc07fb4 100644 --- a/tensorflow/python/keras/_impl/keras/layers/normalization.py +++ b/tensorflow/python/keras/_impl/keras/layers/normalization.py @@ -593,9 +593,9 @@ class BatchNormalization(Layer): # used during evaluation, it is more efficient to just update in one # step and should not make a significant difference in the result. new_mean = math_ops.reduce_mean(new_mean, - axis=1, keep_dims=True) + axis=1, keepdims=True) new_variance = math_ops.reduce_mean(new_variance, - axis=1, keep_dims=True) + axis=1, keepdims=True) def _do_update(var, value): if in_eager_mode and not self.trainable: |