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Before i test that, is there a way to prevent the validation step during training? I had set up `nnUNet_n_proc_DA=15` since i have 24 vCPU cores, 220GB of RAM and...

Regarding the image dimensions, i print here the headers of image 8 (not predicted by nnUNEt) and image 16... they are abou the same size though... ``` Image 8 header...

Hi, I could "supress" the final validation step and could run both the training and the prediction without issues in Azure. Off course i changed throughout the code` multiprocessing.get_context("spawn").Pool` with...

Dear Yannick, thanks for the reply. I apologise for the confusion, but i refer again to `nnUNetv2_train...` but in this case, where the trainset is much larger, from 25 to...

As an example, just during the day i could do `nnUNet_keep_files_open=True nnUNet_compile=True nnUNetv2_train 251 2d all -device cuda` and `nnUNet_keep_files_open=True nnUNet_compile=True nnUNetv2_train 251 3d_fullres all -device cuda`. Training ran fine...

HI Yannick, Once more, thanks for your reply, and again, i apologize for not being clear at first. The problem with the V100 compute instance is that is has a...

I was again testing the A100 and ir ran for exactly 1 epoch. I copy here the log. Also, once i noticed the the task was dead, i did a...

Dear @KumoLiu, thanks for the prompt answer. Do you, for example, the file (images and labels) paths in the jason file? Best Rui

Dear @KumoLiu Thanks. I am still lost on how the pipeline will identify the files. In the datalist.jason file i use full paths. an example follows bellow: ``` "testing": [...

Thanks @KumoLiu for your prompt answer. It was a rookie mistake :( With the change the data was found but another problem appeared... the error log is as follows: ```...