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Throw away value for custom dataloaders #228

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Aug 22, 2022
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6 changes: 3 additions & 3 deletions baal/modelwrapper.py
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,7 @@ def train_on_dataset(
collate_fn = collate_fn or default_collate
for _ in range(epoch):
self._reset_metrics("train")
for data, target in DataLoader(
for data, target, *_ in DataLoader(
dataset, batch_size, True, num_workers=workers, collate_fn=collate_fn
):
_ = self.train_on_batch(data, target, optimizer, use_cuda, regularizer)
Expand Down Expand Up @@ -123,7 +123,7 @@ def test_on_dataset(
log.info("Starting evaluating", dataset=len(dataset))
self._reset_metrics("test")

for data, target in DataLoader(
for data, target, *_ in DataLoader(
dataset, batch_size, False, num_workers=workers, collate_fn=collate_fn
):
_ = self.test_on_batch(
Expand Down Expand Up @@ -234,7 +234,7 @@ def predict_on_dataset_generator(
loader = DataLoader(dataset, batch_size, False, num_workers=workers, collate_fn=collate_fn)
if verbose:
loader = tqdm(loader, total=len(loader), file=sys.stdout)
for idx, (data, _) in enumerate(loader):
for idx, (data, *_) in enumerate(loader):

pred = self.predict_on_batch(data, iterations, use_cuda)
pred = map_on_tensor(lambda x: x.detach(), pred)
Expand Down