Issue commented out net_segment part of pip-installer (which has already been tested before) for speed
@@ -245,8 +245,8 @@ pip-installer:
- python $package_importer
# test niftynet command
- ln -s /home/gitlab-runner/environments/niftynet/data/example_volumes ./example_volumes
- - net_segment train -c $niftynet_dir/config/default_segmentation.ini --name toynet --batch_size 3 --max_iter 5
- - net_segment inference -c $niftynet_dir/config/default_segmentation.ini --name toynet --spatial_window_size 80,80,80 --batch_size 8
+ # - net_segment train -c $niftynet_dir/config/default_segmentation.ini --name toynet --batch_size 3 --max_iter 5
+ # - net_segment inference -c $niftynet_dir/config/default_segmentation.ini --name toynet --spatial_window_size 80,80,80 --batch_size 8
- net_run train --app net_segment -c $niftynet_dir/config/default_segmentation.ini --name toynet --batch_size 3 --max_iter 5
- net_run inference --app net_segment -c $niftynet_dir/config/default_segmentation.ini --name toynet --spatial_window_size 80,80,80 --batch_size 8
- net_run train --app net_gan -c config/GAN_demo_train_config.ini --max_iter 5
@@ -287,8 +287,8 @@ pip-installer:
- python $package_importer
# test niftynet command
- ln -s /home/gitlab-runner/environments/niftynet/data/example_volumes ./example_volumes
- - net_segment train -c $niftynet_dir/config/default_segmentation.ini --name toynet --batch_size 3 --max_iter 5
- - net_segment inference -c $niftynet_dir/config/default_segmentation.ini --name toynet --spatial_window_size 80,80,80 --batch_size 8
+ # - net_segment train -c $niftynet_dir/config/default_segmentation.ini --name toynet --batch_size 3 --max_iter 5
+ # - net_segment inference -c $niftynet_dir/config/default_segmentation.ini --name toynet --spatial_window_size 80,80,80 --batch_size 8
- net_run train --app net_segment -c $niftynet_dir/config/default_segmentation.ini --name toynet --batch_size 3 --max_iter 5
- net_run inference --app net_segment -c $niftynet_dir/config/default_segmentation.ini --name toynet --spatial_window_size 80,80,80 --batch_size 8
- net_run train --app net_gan -c config/GAN_demo_train_config.ini --max_iter 5
