How to save a convnet checkpoint with batchNormalizationLayer

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Zhaoxi Zhang
Zhaoxi Zhang on 1 Nov 2017
I found trainMean and trainVariance of the batchnormalizationLayer are both empty for convnet_checkpoints saved using trainNet and trainOption('CheckpointPath', 'somepath'). This brings the problem that when I try to calculated validation error from a saved checkpoint, it will give the error saying the network is not trained.
Is there some way to set the trainOption so that trainMean and trainVariance will be saved?

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