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datalaoder_factory_test.py 12 KB

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  1. import unittest
  2. from torch.utils.data import DataLoader, TensorDataset, RandomSampler
  3. from super_gradients.common.registry.registry import register_dataset
  4. from super_gradients.training.dataloaders.dataloaders import (
  5. classification_test_dataloader,
  6. detection_test_dataloader,
  7. segmentation_test_dataloader,
  8. cifar10_val,
  9. cifar10_train,
  10. cifar100_val,
  11. cifar100_train,
  12. coco2017_train,
  13. coco2017_val,
  14. coco2017_train_ssd_lite_mobilenet_v2,
  15. coco2017_val_ssd_lite_mobilenet_v2,
  16. imagenet_train,
  17. imagenet_val,
  18. imagenet_efficientnet_train,
  19. imagenet_efficientnet_val,
  20. imagenet_mobilenetv2_train,
  21. imagenet_mobilenetv2_val,
  22. imagenet_mobilenetv3_train,
  23. imagenet_mobilenetv3_val,
  24. imagenet_regnetY_train,
  25. imagenet_regnetY_val,
  26. imagenet_resnet50_train,
  27. imagenet_resnet50_val,
  28. imagenet_resnet50_kd_train,
  29. imagenet_resnet50_kd_val,
  30. imagenet_vit_base_train,
  31. imagenet_vit_base_val,
  32. tiny_imagenet_train,
  33. tiny_imagenet_val,
  34. pascal_aug_segmentation_train,
  35. pascal_aug_segmentation_val,
  36. pascal_voc_segmentation_train,
  37. pascal_voc_segmentation_val,
  38. supervisely_persons_train,
  39. supervisely_persons_val,
  40. pascal_voc_detection_train,
  41. pascal_voc_detection_val,
  42. get,
  43. )
  44. from super_gradients.training.datasets import (
  45. COCODetectionDataset,
  46. ImageNetDataset,
  47. PascalVOC2012SegmentationDataSet,
  48. SuperviselyPersonsDataset,
  49. PascalVOCDetectionDataset,
  50. Cifar10,
  51. Cifar100,
  52. PascalVOCAndAUGUnifiedDataset,
  53. )
  54. import torch
  55. import numpy as np
  56. from super_gradients.training.datasets.detection_datasets.pascal_voc_detection import PascalVOCUnifiedDetectionTrainDataset
  57. @register_dataset("FixedLenDataset")
  58. class FixedLenDataset(TensorDataset):
  59. def __init__(self):
  60. images = torch.Tensor(np.zeros((10, 3, 32, 32)))
  61. ground_truth = torch.LongTensor(np.zeros((10)))
  62. super(FixedLenDataset, self).__init__(images, ground_truth)
  63. class DataLoaderFactoryTest(unittest.TestCase):
  64. def test_coco2017_train_creation(self):
  65. dl_train = coco2017_train()
  66. self.assertTrue(isinstance(dl_train, DataLoader))
  67. self.assertTrue(isinstance(dl_train.dataset, COCODetectionDataset))
  68. self.assertTrue(dl_train.batch_sampler.sampler._shuffle)
  69. def test_coco2017_val_creation(self):
  70. dl_val = coco2017_val()
  71. self.assertTrue(isinstance(dl_val, DataLoader))
  72. self.assertTrue(isinstance(dl_val.dataset, COCODetectionDataset))
  73. def test_coco2017_train_ssdlite_mobilenet_creation(self):
  74. dl_train = coco2017_train_ssd_lite_mobilenet_v2()
  75. self.assertTrue(isinstance(dl_train, DataLoader))
  76. self.assertTrue(isinstance(dl_train.dataset, COCODetectionDataset))
  77. self.assertTrue(dl_train.batch_sampler.sampler._shuffle)
  78. def test_coco2017_val_ssdlite_mobilenet_creation(self):
  79. dl_train = coco2017_val_ssd_lite_mobilenet_v2()
  80. self.assertTrue(isinstance(dl_train, DataLoader))
  81. self.assertTrue(isinstance(dl_train.dataset, COCODetectionDataset))
  82. def test_imagenet_train_creation(self):
  83. dl = imagenet_train()
  84. self.assertTrue(isinstance(dl, DataLoader))
  85. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  86. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  87. def test_imagenet_val_creation(self):
  88. dl = imagenet_val()
  89. self.assertTrue(isinstance(dl, DataLoader))
  90. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  91. def test_imagenet_efficientnet_train_creation(self):
  92. dl = imagenet_efficientnet_train()
  93. self.assertTrue(isinstance(dl, DataLoader))
  94. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  95. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  96. def test_imagenet_efficientnet_val_creation(self):
  97. dl = imagenet_efficientnet_val()
  98. self.assertTrue(isinstance(dl, DataLoader))
  99. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  100. def test_imagenet_mobilenetv2_train_creation(self):
  101. dl = imagenet_mobilenetv2_train()
  102. self.assertTrue(isinstance(dl, DataLoader))
  103. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  104. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  105. def test_imagenet_mobilenetv2_val_creation(self):
  106. dl = imagenet_mobilenetv2_val()
  107. self.assertTrue(isinstance(dl, DataLoader))
  108. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  109. def test_imagenet_mobilenetv3_train_creation(self):
  110. dl = imagenet_mobilenetv3_train()
  111. self.assertTrue(isinstance(dl, DataLoader))
  112. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  113. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  114. def test_imagenet_mobilenetv3_val_creation(self):
  115. dl = imagenet_mobilenetv3_val()
  116. self.assertTrue(isinstance(dl, DataLoader))
  117. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  118. def test_imagenet_regnetY_train_creation(self):
  119. dl = imagenet_regnetY_train()
  120. self.assertTrue(isinstance(dl, DataLoader))
  121. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  122. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  123. def test_imagenet_regnetY_val_creation(self):
  124. dl = imagenet_regnetY_val()
  125. self.assertTrue(isinstance(dl, DataLoader))
  126. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  127. def test_imagenet_resnet50_train_creation(self):
  128. dl = imagenet_resnet50_train()
  129. self.assertTrue(isinstance(dl, DataLoader))
  130. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  131. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  132. def test_imagenet_resnet50_val_creation(self):
  133. dl = imagenet_resnet50_val()
  134. self.assertTrue(isinstance(dl, DataLoader))
  135. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  136. def test_imagenet_resnet50_kd_train_creation(self):
  137. # Here we need to overwrite the sampler because the RepeatAugSampler used in KD is only supported for DDP
  138. dl = imagenet_resnet50_kd_train(dataloader_params={"sampler": {"InfiniteSampler": {}}})
  139. self.assertTrue(isinstance(dl, DataLoader))
  140. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  141. self.assertTrue(dl.sampler._shuffle)
  142. def test_imagenet_resnet50_kd_val_creation(self):
  143. dl = imagenet_resnet50_kd_val()
  144. self.assertTrue(isinstance(dl, DataLoader))
  145. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  146. def test_imagenet_vit_base_train_creation(self):
  147. dl = imagenet_vit_base_train()
  148. self.assertTrue(isinstance(dl, DataLoader))
  149. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  150. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  151. def test_imagenet_vit_base_val_creation(self):
  152. dl = imagenet_vit_base_val()
  153. self.assertTrue(isinstance(dl, DataLoader))
  154. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  155. def test_tiny_imagenet_train_train_creation(self):
  156. dl = tiny_imagenet_train()
  157. self.assertTrue(isinstance(dl, DataLoader))
  158. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  159. def test_tiny_imagenet_train_val_creation(self):
  160. dl = tiny_imagenet_val()
  161. self.assertTrue(isinstance(dl, DataLoader))
  162. self.assertTrue(isinstance(dl.dataset, ImageNetDataset))
  163. def test_cifar10_train_creation(self):
  164. dl_train = cifar10_train()
  165. self.assertTrue(isinstance(dl_train, DataLoader))
  166. self.assertTrue(isinstance(dl_train.dataset, Cifar10))
  167. self.assertTrue(isinstance(dl_train.sampler, RandomSampler))
  168. def test_cifar10_val_creation(self):
  169. dl_val = cifar10_val()
  170. self.assertTrue(isinstance(dl_val, DataLoader))
  171. self.assertTrue(isinstance(dl_val.dataset, Cifar10))
  172. def test_cifar100_train_creation(self):
  173. dl_train = cifar100_train()
  174. self.assertTrue(isinstance(dl_train, DataLoader))
  175. self.assertTrue(isinstance(dl_train.dataset, Cifar100))
  176. self.assertTrue(isinstance(dl_train.sampler, RandomSampler))
  177. def test_cifar100_val_creation(self):
  178. dl_val = cifar100_val()
  179. self.assertTrue(isinstance(dl_val, DataLoader))
  180. self.assertTrue(isinstance(dl_val.dataset, Cifar100))
  181. def test_classification_test_dataloader_creation(self):
  182. dl = classification_test_dataloader()
  183. self.assertTrue(isinstance(dl, DataLoader))
  184. self.assertTrue(isinstance(dl.dataset, TensorDataset))
  185. def test_detection_test_dataloader_creation(self):
  186. dl = detection_test_dataloader()
  187. self.assertTrue(isinstance(dl, DataLoader))
  188. self.assertTrue(isinstance(dl.dataset, TensorDataset))
  189. def test_segmentation_test_dataloader_creation(self):
  190. dl = segmentation_test_dataloader()
  191. self.assertTrue(isinstance(dl, DataLoader))
  192. self.assertTrue(isinstance(dl.dataset, TensorDataset))
  193. def test_pascal_aug_segmentation_train_creation(self):
  194. dl = pascal_aug_segmentation_train()
  195. self.assertTrue(isinstance(dl, DataLoader))
  196. self.assertTrue(isinstance(dl.dataset, PascalVOCAndAUGUnifiedDataset))
  197. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  198. def test_pascal_aug_segmentation_val_creation(self):
  199. dl = pascal_aug_segmentation_val()
  200. self.assertTrue(isinstance(dl, DataLoader))
  201. self.assertTrue(isinstance(dl.dataset, PascalVOC2012SegmentationDataSet))
  202. def test_pascal_voc_segmentation_train_creation(self):
  203. dl = pascal_voc_segmentation_train()
  204. self.assertTrue(isinstance(dl, DataLoader))
  205. self.assertTrue(isinstance(dl.dataset, PascalVOC2012SegmentationDataSet))
  206. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  207. def test_pascal_voc_segmentation_val_creation(self):
  208. dl = pascal_voc_segmentation_val()
  209. self.assertTrue(isinstance(dl, DataLoader))
  210. self.assertTrue(isinstance(dl.dataset, PascalVOC2012SegmentationDataSet))
  211. def test_supervisely_persons_train_dataloader_creation(self):
  212. dl = supervisely_persons_train()
  213. self.assertTrue(isinstance(dl, DataLoader))
  214. self.assertTrue(isinstance(dl.dataset, SuperviselyPersonsDataset))
  215. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  216. def test_supervisely_persons_val_dataloader_creation(self):
  217. dl = supervisely_persons_val()
  218. self.assertTrue(isinstance(dl, DataLoader))
  219. self.assertTrue(isinstance(dl.dataset, SuperviselyPersonsDataset))
  220. def test_pascal_voc_train_creation(self):
  221. dl = pascal_voc_detection_train()
  222. self.assertTrue(isinstance(dl, DataLoader))
  223. self.assertTrue(isinstance(dl.dataset, PascalVOCUnifiedDetectionTrainDataset))
  224. self.assertTrue(dl.batch_sampler.sampler._shuffle)
  225. def test_pascal_voc_val_creation(self):
  226. dl = pascal_voc_detection_val()
  227. self.assertTrue(isinstance(dl, DataLoader))
  228. self.assertTrue(isinstance(dl.dataset, PascalVOCDetectionDataset))
  229. def test_get_with_external_dataset_creation(self):
  230. dataset = Cifar10(root="./data/cifar10", train=False, download=True)
  231. dl = get(dataset=dataset, dataloader_params={"batch_size": 256, "num_workers": 8, "drop_last": False, "pin_memory": True, "shuffle": True})
  232. self.assertTrue(isinstance(dl, DataLoader))
  233. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  234. def test_get_with_registered_dataset(self):
  235. dl = get(dataloader_params={"dataset": "FixedLenDataset", "batch_size": 256, "num_workers": 8, "drop_last": False, "pin_memory": True, "shuffle": True})
  236. self.assertTrue(isinstance(dl.dataset, FixedLenDataset))
  237. self.assertTrue(isinstance(dl.sampler, RandomSampler))
  238. if __name__ == "__main__":
  239. unittest.main()
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