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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,126 @@ | ||
| { | ||
| "bundle_root": { | ||
| "description": "root path of the bundle.", | ||
| "required": true, | ||
| "id": "bundle_root" | ||
| }, | ||
| "device": { | ||
| "description": "target device to execute the bundle workflow.", | ||
| "required": true, | ||
| "id": "device" | ||
| }, | ||
| "dataset_dir": { | ||
| "description": "directory path of the dataset.", | ||
| "required": true, | ||
| "id": "dataset_dir" | ||
| }, | ||
| "trainer": { | ||
| "description": "training workflow engine.", | ||
| "required": true, | ||
| "id": "train::trainer" | ||
| }, | ||
| "network_def": { | ||
| "description": "network module for the training.", | ||
| "required": false, | ||
| "id": "network_def" | ||
| }, | ||
| "max_epochs": { | ||
| "description": "max number of epochs to execute the training.", | ||
| "required": true, | ||
| "id": "train::trainer::max_epochs" | ||
| }, | ||
| "train_dataset": { | ||
| "description": "PyTorch dataset object for the training logic.", | ||
| "required": true, | ||
| "id": "train::dataset" | ||
| }, | ||
| "train_inferer": { | ||
| "description": "MONAI Inferer object to execute the model computation in training.", | ||
| "required": true, | ||
| "id": "train::inferer" | ||
| }, | ||
| "train_dataset_data": { | ||
| "description": "data source for the training dataset.", | ||
| "required": false, | ||
| "id": "train::dataset::data", | ||
| "refer_id": null | ||
| }, | ||
| "train_handlers": { | ||
| "description": "event-handlers for the training logic.", | ||
| "required": false, | ||
| "id": "train::handlers", | ||
| "refer_id": "train::trainer::train_handlers" | ||
| }, | ||
| "train_preprocessing": { | ||
| "description": "preprocessing for the training input data.", | ||
| "required": false, | ||
| "id": "train::preprocessing", | ||
| "refer_id": "train::dataset::transform" | ||
| }, | ||
| "train_postprocessing": { | ||
| "description": "postprocessing for the training model output data.", | ||
| "required": false, | ||
| "id": "train::postprocessing", | ||
| "refer_id": "train::trainer::postprocessing" | ||
| }, | ||
| "train_key_metric": { | ||
| "description": "key metric to compute on the training data.", | ||
| "required": false, | ||
| "id": "train::key_metric", | ||
| "refer_id": "train::trainer::key_train_metric" | ||
| }, | ||
| "evaluator": { | ||
| "description": "validation workflow engine.", | ||
| "required": false, | ||
| "id": "validate::evaluator", | ||
| "refer_id": "validator" | ||
| }, | ||
| "val_interval": { | ||
| "description": "validation interval during the training.", | ||
| "required": false, | ||
| "id": "val_interval", | ||
| "refer_id": "interval" | ||
| }, | ||
| "val_handlers": { | ||
| "description": "event-handlers for the validation logic.", | ||
| "required": false, | ||
| "id": "validate::handlers", | ||
| "refer_id": "validate::evaluator::val_handlers" | ||
| }, | ||
| "val_dataset": { | ||
| "description": "PyTorch dataset object for the validation logic.", | ||
| "required": false, | ||
| "id": "validate::dataset", | ||
| "refer_id": "validate::dataloader::dataset" | ||
| }, | ||
| "val_dataset_data": { | ||
| "description": "data source for the validation dataset.", | ||
| "required": false, | ||
| "id": "validate::dataset::data", | ||
| "refer_id": null | ||
| }, | ||
| "val_inferer": { | ||
| "description": "MONAI Inferer object to execute the model computation in validation.", | ||
| "required": false, | ||
| "id": "validate::inferer", | ||
| "refer_id": "validate::evaluator::inferer" | ||
| }, | ||
| "val_preprocessing": { | ||
| "description": "preprocessing for the validation input data.", | ||
| "required": false, | ||
| "id": "validate::preprocessing", | ||
| "refer_id": "validate::dataset::transform" | ||
| }, | ||
| "val_postprocessing": { | ||
| "description": "postprocessing for the validation model output data.", | ||
| "required": false, | ||
| "id": "validate::postprocessing", | ||
| "refer_id": "validate::evaluator::postprocessing" | ||
| }, | ||
| "val_key_metric": { | ||
| "description": "key metric to compute on the validation data.", | ||
| "required": false, | ||
| "id": "validate::key_metric", | ||
| "refer_id": "validate::evaluator::key_val_metric" | ||
| } | ||
| } |