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Use torch.device('mps') for nnunet inference #88

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Use torch.device('mps') for nnunet inference #88

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5 changes: 3 additions & 2 deletions packaging_lumbar_rootlets/run_inference_single_subject.py
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Expand Up @@ -174,8 +174,9 @@ def main():
tile_step_size=args.tile_step_size, # changing it from 0.5 to 0.9 makes inference faster
use_gaussian=True, # applies gaussian noise and gaussian blur
use_mirroring=False, # test time augmentation by mirroring on all axes
perform_everything_on_device=True if args.use_gpu else False,
device=torch.device('cuda') if args.use_gpu else torch.device('cpu'),
perform_everything_on_device=True,
#device=torch.device('cuda') if args.use_gpu else torch.device('cpu'),
device=torch.device('mps'),
verbose_preprocessing=False,
allow_tqdm=True
)
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