Batchnorm track running state #7
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Bugfix: meta_train_dataset etc. are attributes of benchmark
…the state of the class equally to "model.training". "model.training" needs to be independent from it to track running state of the BatchNorm layers.
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I found out that during inference a larger batch size results in better results than a smaller one. To avoid this the batchnorm layer needs to track the running state.