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11 changes: 10 additions & 1 deletion fets/data/pytorch/gandlf_data.py
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,15 @@
from fets.data.gandlf_utils import get_dataframe_and_headers
from fets.data import get_appropriate_file_paths_from_subject_dir

## added for reproducibility
def seed_worker(worker_id):
worker_seed = torch.initial_seed() % 2**32
numpy.random.seed(worker_seed)
random.seed(worker_seed)

g = torch.Generator()
g.manual_seed(0)
## added for reproducibility

# adapted from https://codereview.stackexchange.com/questions/132914/crop-black-border-of-image-using-numpy/132933#132933
def crop_image_outside_zeros(array, psize):
Expand Down Expand Up @@ -672,7 +681,7 @@ def get_loaders(self, data_frame, train, augmentations):
preprocessing=self.preprocessing,
in_memory=self.in_memory)
if train:
loader = DataLoader(data, shuffle=True, batch_size=self.batch_size)
loader = DataLoader(data, shuffle=True, batch_size=self.batch_size, worker_init_fn=seed_worker)
else:
loader = DataLoader(data, shuffle=False, batch_size=1)
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The validation loader should also have worker_init_fn=seed_worker, right?

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How does this look? 😄


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