Yannick Kirchhoff

Hey Rui, something came up in a discussion, are you running nnUNet in a docker container or similar on Azure? With docker you have to set `--ipc=host` or `--shm-size=8GB` in...

Hi Rui, that is quite unexpected, `default_num_processes` should during training, iirc, only be used in unpacking the data and exporting the segmentations in the final validation run at the end...

Hey Rui, glad to hear that at least the training itself is now working. Your training crashes during the [final validation](https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunetv2/training/nnUNetTrainer/nnUNetTrainer.py#L1097) nnUNet does. Do you get any of the final...

Hi Rui, the issue then probably is the case 8. What are the shapes and spacings of the 5 cases? I would assume that case 8 is exceptionally large. You...

Hey, there is no setting to disable the validation step at each epoch, you would have to write your own trainer class and set it yourself in the [run_training method](https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunetv2/training/nnUNetTrainer/nnUNetTrainer.py#L1226)....

Hi Rui, just so I understand you correctly, the issue appears when you run `nnUNetv2_predict ...` on the test set with N=200 but works on N=25? There is probably some...

Hi Rui, ah now I get it, so basically you again have the same problem as in the beginning? If I understand it correctly, your training gets stuck at this...

Hi @komiloserdov, there was recently a change in the plans nnUNet produces and the backward compatibility doesn't work currently for the ResidualEncoderUNet. We will fix that asap and I will...

Hi @komiloserdov, thanks for the reminder and sorry for the late reply! I am currently quite busy with paper submissions and rebuttals and didn't really find the time to work...

Hi Konstantin, great to hear that it worked! I made an internal merge request, so it should also be fixed soonish. Best, Yannick