This notebook shows how to easily integrate MONAI features into existing PyTorch programs. If you have any other variables that would benefit by setting them to 1 during testing, add them to strings_to_replace in runner.sh. This lets the runner know that it's not a problem if it doesn't find max_epochs. If your notebook doesn't use the idea of epochs, then please add it to the variable doesnt_contain_max_epochs in runner.sh. Hence, during training please use the variables max_epochs and val_interval for the number of training epochs and validation interval, respectively. To save time, we modify variables to avoid unecessary for loop iterations.
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