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[ai generated] fbcode/pytorch/data/test/stateful_dataloader/test_dataloader.py #1517

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Merged
divyanshk merged 1 commit into from
Dec 9, 2025
Merged

[ai generated] fbcode/pytorch/data/test/stateful_dataloader/test_dataloader.py #1517

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12 changes: 6 additions & 6 deletions test/stateful_dataloader/test_dataloader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -211,14 +211,14 @@ def __len__(self):
dataset = CustomDataset(self, x)
dataset = random_split(dataset, [5])[0]
data_loader = DataLoader(dataset)
for batch in data_loader:
for _ in data_loader:
pass

# fractional splitting
dataset = CustomDataset(self, x)
dataset = random_split(dataset, [1.0])[0]
data_loader = DataLoader(dataset)
for batch in data_loader:
for _ in data_loader:
pass

def test_splits_reproducibility(self):
Expand Down Expand Up @@ -1052,7 +1052,7 @@ def __iter__(self):
worker_info = torch.utils.data.get_worker_info()
assert worker_info is not None
worker_id = worker_info.id
for idx in range(self.length // worker_info.num_workers):
for _ in range(self.length // worker_info.num_workers):
yield worker_id

def __len__(self):
Expand Down Expand Up @@ -1711,7 +1711,7 @@ def test_multi_epochs_reproducibility(self):
dataset = TestMultiEpochDataset(batch_size * num_workers)
dataloader = self._get_data_loader(dataset, batch_size=batch_size, shuffle=False, num_workers=num_workers)

for ind in range(num_epochs):
for _ in range(num_epochs):
for batch_idx, sample in enumerate(dataloader):
self.assertEqual(sample.tolist(), [batch_idx % num_workers] * batch_size)

Expand Down Expand Up @@ -2532,7 +2532,7 @@ def _create_dp(buffer_size):

# Same seeds
dl_res = []
for epoch in range(2):
for _ in range(2):
torch.manual_seed(123)
dl_res.append(list(dl))
self.assertEqual(dl_res[0], dl_res[1])
Expand Down Expand Up @@ -2734,7 +2734,7 @@ def test_dataset_not_reset(self):
dataloader = self._get_data_loader(dataset, num_workers=2, pin_memory=pin_memory)
dataset.start = 0
for i in range(10):
for x in dataloader:
for _ in dataloader:
pass
# Changing the start value here doesn't have any effect in the dataset
# cached by the workers. since they are not recreated between epochs
Expand Down
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