Hotfix for torchvision (#6476)

pl_examples/basic_examples/autoencoder.py

@@ -22,9 +22,10 @@ from torch.utils.data import DataLoader, random_split
 import pytorch_lightning as pl
 from pl_examples import _DATASETS_PATH, _TORCHVISION_AVAILABLE, _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
 
-if _TORCHVISION_AVAILABLE and _TORCHVISION_MNIST_AVAILABLE:
+if _TORCHVISION_AVAILABLE:
     from torchvision import transforms
-    from torchvision.datasets.mnist import MNIST
+if _TORCHVISION_MNIST_AVAILABLE:
+    from torchvision.datasets import MNIST
 else:
     from tests.helpers.datasets import MNIST
 

pl_examples/basic_examples/backbone_image_classifier.py

@@ -21,9 +21,10 @@ from torch.utils.data import DataLoader, random_split
 import pytorch_lightning as pl
 from pl_examples import _DATASETS_PATH, _TORCHVISION_AVAILABLE, _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
 
-if _TORCHVISION_AVAILABLE and _TORCHVISION_MNIST_AVAILABLE:
+if _TORCHVISION_AVAILABLE:
     from torchvision import transforms
-    from torchvision.datasets.mnist import MNIST
+if _TORCHVISION_MNIST_AVAILABLE:
+    from torchvision.datasets import MNIST
 else:
     from tests.helpers.datasets import MNIST
 

pl_examples/basic_examples/dali_image_classifier.py

@@ -31,9 +31,10 @@ from pl_examples import (
     cli_lightning_logo,
 )
 
-if _TORCHVISION_AVAILABLE and _TORCHVISION_MNIST_AVAILABLE:
+if _TORCHVISION_AVAILABLE:
     from torchvision import transforms
-    from torchvision.datasets.mnist import MNIST
+if _TORCHVISION_MNIST_AVAILABLE:
+    from torchvision.datasets import MNIST
 else:
     from tests.helpers.datasets import MNIST
 

pl_examples/basic_examples/mnist_datamodule.py

@@ -20,8 +20,9 @@ from torch.utils.data import DataLoader, random_split
 from pl_examples import _DATASETS_PATH, _TORCHVISION_AVAILABLE, _TORCHVISION_MNIST_AVAILABLE
 from pytorch_lightning import LightningDataModule
 
-if _TORCHVISION_AVAILABLE and _TORCHVISION_MNIST_AVAILABLE:
+if _TORCHVISION_AVAILABLE:
     from torchvision import transforms as transform_lib
+if _TORCHVISION_MNIST_AVAILABLE:
     from torchvision.datasets import MNIST
 else:
     from tests.helpers.datasets import MNIST

pl_examples/domain_templates/generative_adversarial_net.py

@@ -32,9 +32,10 @@ from pl_examples import _TORCHVISION_AVAILABLE, _TORCHVISION_MNIST_AVAILABLE, cl
 from pytorch_lightning.core import LightningDataModule, LightningModule
 from pytorch_lightning.trainer import Trainer
 
-if _TORCHVISION_AVAILABLE and _TORCHVISION_MNIST_AVAILABLE:
+if _TORCHVISION_AVAILABLE:
     import torchvision
-    import torchvision.transforms as transforms
+    from torchvision import transforms
+if _TORCHVISION_MNIST_AVAILABLE:
     from torchvision.datasets import MNIST
 else:
     from tests.helpers.datasets import MNIST

tests/helpers/datasets.py

@@ -69,6 +69,7 @@ class MNIST(Dataset):
         train: bool = True,
         normalize: tuple = (0.1307, 0.3081),
         download: bool = True,
+        **kwargs,
     ):
         super().__init__()
         self.root = root