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@@ -95,11 +95,10 @@ Coefficient of variation is calculated as the ratio of the standard deviation to
 
 
 #### Notes
-- Line 116 of /DeepLearningExamples/PyTorch/Segmentation/nnUNet/main.py should be changed:
-```trainer.test(model, test_dataloaders=data_module.test_dataloader(), ckpt_path=ckpt_path)```
-to 
+- Line 116 of /DeepLearningExamples/PyTorch/Segmentation/nnUNet/main.py should be changed:  
+```trainer.test(model, test_dataloaders=data_module.test_dataloader(), ckpt_path=ckpt_path)```  
+to  
 ```trainer.test(model, dataloaders=data_module.test_dataloader(), ckpt_path=ckpt_path)```  
-
 Ref: https://pytorch-lightning.readthedocs.io/en/stable/common/trainer.html
 - It seems running directly via singularity shell will give worse performance (when I WFH). We should run it via sbatch script instead.
 - It took around a week to finish 100 iterations of benchmarking for all sets of parameters.