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new 977e558 Make docblocks for Gluon BatchNorm and SyncBatchNorm
consistent with the code (#14840)
977e558 is described below
commit 977e5587bee895320be7bdc528dbfc3e00c61ec0
Author: Ziyi Mu <[email protected]>
AuthorDate: Wed May 1 19:02:28 2019 -0700
Make docblocks for Gluon BatchNorm and SyncBatchNorm consistent with the
code (#14840)
* doc fix
* trigger ci
---
python/mxnet/gluon/contrib/nn/basic_layers.py | 8 ++++----
python/mxnet/gluon/nn/basic_layers.py | 8 ++++----
2 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/python/mxnet/gluon/contrib/nn/basic_layers.py
b/python/mxnet/gluon/contrib/nn/basic_layers.py
index ebe136e..6cbf988 100644
--- a/python/mxnet/gluon/contrib/nn/basic_layers.py
+++ b/python/mxnet/gluon/contrib/nn/basic_layers.py
@@ -199,10 +199,10 @@ class SyncBatchNorm(BatchNorm):
Initializer for the beta weight.
gamma_initializer: str or `Initializer`, default 'ones'
Initializer for the gamma weight.
- moving_mean_initializer: str or `Initializer`, default 'zeros'
- Initializer for the moving mean.
- moving_variance_initializer: str or `Initializer`, default 'ones'
- Initializer for the moving variance.
+ running_mean_initializer: str or `Initializer`, default 'zeros'
+ Initializer for the running mean.
+ running_variance_initializer: str or `Initializer`, default 'ones'
+ Initializer for the running variance.
Inputs:
diff --git a/python/mxnet/gluon/nn/basic_layers.py
b/python/mxnet/gluon/nn/basic_layers.py
index f8566dd..3d6976c 100644
--- a/python/mxnet/gluon/nn/basic_layers.py
+++ b/python/mxnet/gluon/nn/basic_layers.py
@@ -305,10 +305,10 @@ class BatchNorm(HybridBlock):
Initializer for the beta weight.
gamma_initializer: str or `Initializer`, default 'ones'
Initializer for the gamma weight.
- moving_mean_initializer: str or `Initializer`, default 'zeros'
- Initializer for the moving mean.
- moving_variance_initializer: str or `Initializer`, default 'ones'
- Initializer for the moving variance.
+ running_mean_initializer: str or `Initializer`, default 'zeros'
+ Initializer for the running mean.
+ running_variance_initializer: str or `Initializer`, default 'ones'
+ Initializer for the running variance.
in_channels : int, default 0
Number of channels (feature maps) in input data. If not specified,
initialization will be deferred to the first time `forward` is called
