Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Updates README.md to include --save_ckpt #1182

Closed
wants to merge 1 commit into from
Closed

Updates README.md to include --save_ckpt #1182

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions PyTorch/Segmentation/nnUNet/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -206,7 +206,7 @@ For the specifics concerning data preprocessing, see the [Getting the data](#get

Training can be started with:
```
python scripts/train.py --gpus <gpus> --fold <fold> --dim <dim> [--amp]
python scripts/train.py --gpus <gpus> --fold <fold> --dim <dim> [--amp] [--save_ckpt]
```

To see descriptions of the train script arguments run `python scripts/train.py --help`. You can customize the training process. For details, see the [Training process](#training-process) section.
Expand Down Expand Up @@ -428,7 +428,7 @@ The default configuration minimizes a function `L = (1 - dice_coefficient) + cro
The training can be run directly without using the predefined scripts. The name of the training script is `main.py`. For example:

```
python main.py --exec_mode train --task 01 --fold 0 --gpus 1 --amp
python main.py --exec_mode train --task 01 --fold 0 --gpus 1 --amp --save_ckpt
```

Training artifacts will be saved to `/results` in the container. Some important artifacts are:
Expand Down