| Conditions | 2 |
| Total Lines | 16 |
| Code Lines | 15 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
| 1 | from torch.utils.data import DataLoader |
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| 20 | def test_queue(self): |
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| 21 | subjects_dataset = ImagesDataset(self.subjects_list) |
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| 22 | queue_dataset = Queue( |
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| 23 | subjects_dataset, |
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| 24 | max_length=6, |
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| 25 | samples_per_volume=2, |
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| 26 | patch_size=10, |
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| 27 | sampler_class=ImageSampler, |
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| 28 | num_workers=0, |
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| 29 | verbose=True, |
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| 30 | ) |
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| 31 | _ = str(queue_dataset) |
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| 32 | batch_loader = DataLoader(queue_dataset, batch_size=4) |
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| 33 | for batch in batch_loader: |
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| 34 | _ = batch['one_modality'][DATA] |
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| 35 | _ = batch['segmentation'][DATA] |
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| 36 |