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Better handling of the input mean

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David Rotermund 2022-05-02 11:49:40 +02:00 committed by GitHub
parent fa8b16a5bd
commit 92965b9bb7
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1 changed files with 3 additions and 2 deletions
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learn_it.py
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@ -117,7 +117,8 @@ elif cfg.data_mode == "MNIST_FASHION":
else: else:
raise Exception("data_mode unknown") raise Exception("data_mode unknown")
cfg.image_statistics.mean = the_dataset_train.mean if len(cfg.image_statistics.mean) == 0:
cfg.image_statistics.mean = the_dataset_train.mean
# The basic size # The basic size
cfg.image_statistics.the_size = [ cfg.image_statistics.the_size = [
@ -508,7 +509,7 @@ with torch.no_grad():
lr_scheduler_eps.step(my_loss_for_batch) lr_scheduler_eps.step(my_loss_for_batch)
tb.add_scalar( tb.add_scalar(
"Train Performance", 100.0 - performance, cfg.learning_step "Train Error", 100.0 - performance, cfg.learning_step
) )
tb.add_scalar("Train Loss", my_loss_for_batch, cfg.learning_step) tb.add_scalar("Train Loss", my_loss_for_batch, cfg.learning_step)
tb.add_scalar( tb.add_scalar(