Missing preprocessing in dict parameters

[lesliewubbel]

OS: WIndows 11
Python 3.7.9

we run python .\FeTS_Challenge.py

we get this error, I understand that we are loading data with the data_loader and its gets a dict with headers built in experiment.py

with task runner

File ".\FeTS_Challenge.py", line 584, in <module>
    restore_from_checkpoint_folder = restore_from_checkpoint_folder)
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\fets_challenge\experiment.py", line 292, in run_challenge_experiment
    task_runner = copy(plan).get_task_runner(collaborator_data_loaders[col])
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\venv\lib\site-packages\openfl\federated\plan\plan.py", line 389, in get_task_runner
    self.runner_ = Plan.build(**defaults)
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\venv\lib\site-packages\openfl\federated\plan\plan.py", line 182, in build
    instance = getattr(module, class_name)(**settings)
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\venv\lib\site-packages\openfl\federated\task\runner_fets_challenge.py", line 43, in __init__
    model, optimizer, train_loader, val_loader, scheduler, params = create_pytorch_objects(fets_config_dict, train_csv=train_csv, val_csv=val_csv, device=device)
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\venv\lib\site-packages\GANDLF\compute\generic.py", line 48, in create_pytorch_objects
    train_loader = get_train_loader(parameters)
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\venv\lib\site-packages\GANDLF\data\__init__.py", line 24, in get_train_loader
    loader_type="train",
  File "C:\CodeRepos\MoaniSandbox\FETS-AI\Challenge\Task_1\venv\lib\site-packages\GANDLF\data\ImagesFromDataFrame.py", line 65, in ImagesFromDataFrame
    preprocessing = parameters["data_preprocessing"]
KeyError: 'data_preprocessing'

we print() out the parameters we can see that "data_preprocessing" is actually missing, is this a breaking change with GANDLF?

{'batch_size': 1, 'data_augmentation': {}, 
'data_postprocessing': {},
 'enable_padding': False,
 'in_memory': True,
 'inference_mechanism': {'grid_aggregator_overlap': 'crop', 'patch_overlap': 0},
 'learning_rate': 0.001, 
'loss_function': 'dc',
 'medcam_enabled': False,
 'metrics': ['dice', 'dice_per_label', 'hd95_per_label'],
 'model': {'amp': True, 'architecture': 'resunet', 'base_filters': 32, 'class_list': [0, 1, 2, 4], 'dimension': 3, 'final_layer': 'softmax', 'norm_type': 'instance', 'type': 'torch', 'num_channels': 4, 'num_classes': 4},
 'nested_training': {'testing': 1, 'validation': -5}, 
'num_epochs': 1, 'optimizer': {'type': 'sgd'}, 
'output_dir': '.', 'parallel_compute_command': '', 'patch_sampler': 'label', 
'patch_size': [64, 64, 64], 'patience': 100, 'pin_memory_dataloader': False, 'print_rgb_label_warning': True, 'q_max_length': 100, 'q_num_workers': 0,    restore_from_checkpoint_folder = restore_from_checkpoint_folder)

[lesliewubbel]

[lesliewubbel]

solved by overriding data_preprocessing because the data_preprocessing in the plan ymal file was not set accordingly