Added new flag to keep prediction not on device

nnunetv2/inference/predict_from_raw_data.py

@@ -882,6 +882,9 @@ def predict_entry_point():
                         help="Use this to set the device the inference should run with. Available options are 'cuda' "
                              "(GPU), 'cpu' (CPU) and 'mps' (Apple M1/M2). Do NOT use this to set which GPU ID! "
                              "Use CUDA_VISIBLE_DEVICES=X nnUNetv2_predict [...] instead!")
+    parser.add_argument('--not_on_device', action='store_true', required=False, default=False,
+                        help="Set this flag to not keep the entire case on device. Recommended for large cases that "
+                             "occupy more VRAM than available")
     parser.add_argument('--disable_progress_bar', action='store_true', required=False, default=False,
                         help='Set this flag to disable progress bar. Recommended for HPC environments (non interactive '
                              'jobs)')
@@ -922,7 +925,7 @@ def predict_entry_point():
     predictor = nnUNetPredictor(tile_step_size=args.step_size,
                                 use_gaussian=True,
                                 use_mirroring=not args.disable_tta,
-                                perform_everything_on_device=True,
+                                perform_everything_on_device=not args.not_on_device,
                                 device=device,
                                 verbose=args.verbose,
                                 verbose_preprocessing=args.verbose,