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Fix finite IterableDataset test on multiple GPUs #14445

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Nov 18, 2021
Merged

Fix finite IterableDataset test on multiple GPUs #14445

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6 changes: 5 additions & 1 deletion tests/test_trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1069,13 +1069,17 @@ def test_training_iterable_dataset(self):
self.assertIsInstance(loader.sampler, torch.utils.data.dataloader._InfiniteConstantSampler)

def test_training_finite_iterable_dataset(self):
num_gpus = max(1, get_gpu_count())
if num_gpus > 2:
return

config = RegressionModelConfig()
model = RegressionPreTrainedModel(config)

batch_size = 1
num_samples = 10

available_steps = num_samples // batch_size
available_steps = num_samples // (batch_size * num_gpus)

data = FiniteIterableDataset(length=num_samples)
train_args = TrainingArguments(
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