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Make docblocks for Gluon BatchNorm and SyncBatchNorm consistent with the code #14840

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May 2, 2019
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Make docblocks for Gluon BatchNorm and SyncBatchNorm consistent with the code #14840

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e0f3652
doc fix
Apr 29, 2019
3fa8e26
trigger ci
Apr 30, 2019
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8 changes: 4 additions & 4 deletions python/mxnet/gluon/contrib/nn/basic_layers.py
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Expand Up @@ -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:
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8 changes: 4 additions & 4 deletions python/mxnet/gluon/nn/basic_layers.py
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Expand Up @@ -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
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