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@clead6 clead6 commented Jan 31, 2024

Bug in VAE tutorial, indexing of the data dictionaries train_datadict[:10] and test_datadict[:10] had been left there.

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In a previous commit, someone left indexes on the data dictionaries train_datadict[:10] and test_datadict[:10] to debug. I removed them so the code properly runs on the whole dataset.

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Bug in VAE tutorial, indexing of the data dictionaries train_datadict[:10] and test_datadict[:10] had been left there.

Signed-off-by: Clea Dronne <66008479+clead6@users.noreply.github.com>
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Thanks for the update.

@KumoLiu KumoLiu enabled auto-merge (squash) February 1, 2024 02:47
@KumoLiu KumoLiu merged commit 3093dec into Project-MONAI:main Feb 1, 2024
@clead6 clead6 deleted the fix_vae_tutorial branch February 1, 2024 09:11
@Sembelawi
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modules/engines/unet_training_dict.py

I am currently using the above tutorial for supervised training. Unfortunately, the early stopping handler is triggered right at the beginning. I am receiving the following below feedback and I could not identify where the bug is. Thanks in progress!

2024-02-03 10:44:10,219 ignite.handlers.early_stopping.EarlyStopping INFO: EarlyStopping: Stop training
2024-02-03 10:44:10,220 - INFO - Epoch: 1/100, Iter: 21/3264 -- train_loss: 1.0000

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KumoLiu commented Feb 5, 2024

Hi @Sembelawi, the reason is that your loss didn't decrease after the patience. You can either set up larger patience or check your data.
https://github.com/Project-MONAI/MONAI/blob/33afaefff925dce45b8331e8290f234a4d95fd51/monai/handlers/earlystop_handler.py#L37

boneseva pushed a commit to boneseva/MONAI-tutorials that referenced this pull request Apr 21, 2024
Bug in VAE tutorial, indexing of the data dictionaries
train_datadict[:10] and test_datadict[:10] had been left there.

### Description
In a previous commit, someone left indexes on the data dictionaries
train_datadict[:10] and test_datadict[:10] to debug. I removed them so
the code properly runs on the whole dataset.

### Checks

Signed-off-by: Clea Dronne <66008479+clead6@users.noreply.github.com>
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3 participants