diff --git a/pl_examples/__init__.py b/pl_examples/__init__.py
index 150ac309dd..f22cb5b8e4 100644
--- a/pl_examples/__init__.py
+++ b/pl_examples/__init__.py
@@ -14,7 +14,6 @@ _EXAMPLES_ROOT = os.path.dirname(__file__)
 _PACKAGE_ROOT = os.path.dirname(_EXAMPLES_ROOT)
 _DATASETS_PATH = os.path.join(_PACKAGE_ROOT, 'Datasets')
 
-_TORCHVISION_AVAILABLE = _module_available("torchvision")
 _TORCHVISION_MNIST_AVAILABLE = not bool(os.environ.get("PL_USE_MOCKED_MNIST", False))
 _DALI_AVAILABLE = _module_available("nvidia.dali")
 
diff --git a/pl_examples/basic_examples/autoencoder.py b/pl_examples/basic_examples/autoencoder.py
index 6841b8555e..d71af97cc1 100644
--- a/pl_examples/basic_examples/autoencoder.py
+++ b/pl_examples/basic_examples/autoencoder.py
@@ -20,7 +20,8 @@ from torch import nn
 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
+from pl_examples import _DATASETS_PATH, _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
+from pytorch_lightning.utilities.imports import _TORCHVISION_AVAILABLE
 
 if _TORCHVISION_AVAILABLE:
     from torchvision import transforms
diff --git a/pl_examples/basic_examples/backbone_image_classifier.py b/pl_examples/basic_examples/backbone_image_classifier.py
index 1c78d264a8..b727514ad7 100644
--- a/pl_examples/basic_examples/backbone_image_classifier.py
+++ b/pl_examples/basic_examples/backbone_image_classifier.py
@@ -19,7 +19,8 @@ from torch.nn import functional as F
 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
+from pl_examples import _DATASETS_PATH, _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
+from pytorch_lightning.utilities.imports import _TORCHVISION_AVAILABLE
 
 if _TORCHVISION_AVAILABLE:
     from torchvision import transforms
diff --git a/pl_examples/basic_examples/dali_image_classifier.py b/pl_examples/basic_examples/dali_image_classifier.py
index 08bf64da25..30ad76f58c 100644
--- a/pl_examples/basic_examples/dali_image_classifier.py
+++ b/pl_examples/basic_examples/dali_image_classifier.py
@@ -23,13 +23,8 @@ from torch.nn import functional as F
 from torch.utils.data import random_split
 
 import pytorch_lightning as pl
-from pl_examples import (
-    _DALI_AVAILABLE,
-    _DATASETS_PATH,
-    _TORCHVISION_AVAILABLE,
-    _TORCHVISION_MNIST_AVAILABLE,
-    cli_lightning_logo,
-)
+from pl_examples import _DALI_AVAILABLE, _DATASETS_PATH, _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
+from pytorch_lightning.utilities.imports import _TORCHVISION_AVAILABLE
 
 if _TORCHVISION_AVAILABLE:
     from torchvision import transforms
diff --git a/pl_examples/basic_examples/mnist_datamodule.py b/pl_examples/basic_examples/mnist_datamodule.py
index ea64f96c05..ffb507a940 100644
--- a/pl_examples/basic_examples/mnist_datamodule.py
+++ b/pl_examples/basic_examples/mnist_datamodule.py
@@ -17,8 +17,9 @@ from warnings import warn
 
 from torch.utils.data import DataLoader, random_split
 
-from pl_examples import _DATASETS_PATH, _TORCHVISION_AVAILABLE, _TORCHVISION_MNIST_AVAILABLE
+from pl_examples import _DATASETS_PATH, _TORCHVISION_MNIST_AVAILABLE
 from pytorch_lightning import LightningDataModule
+from pytorch_lightning.utilities.imports import _TORCHVISION_AVAILABLE
 
 if _TORCHVISION_AVAILABLE:
     from torchvision import transforms as transform_lib
diff --git a/pl_examples/domain_templates/generative_adversarial_net.py b/pl_examples/domain_templates/generative_adversarial_net.py
index 29fcf97de8..19bce65746 100644
--- a/pl_examples/domain_templates/generative_adversarial_net.py
+++ b/pl_examples/domain_templates/generative_adversarial_net.py
@@ -28,9 +28,10 @@ import torch.nn as nn
 import torch.nn.functional as F  # noqa
 from torch.utils.data import DataLoader
 
-from pl_examples import _TORCHVISION_AVAILABLE, _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
+from pl_examples import _TORCHVISION_MNIST_AVAILABLE, cli_lightning_logo
 from pytorch_lightning.core import LightningDataModule, LightningModule
 from pytorch_lightning.trainer import Trainer
+from pytorch_lightning.utilities.imports import _TORCHVISION_AVAILABLE
 
 if _TORCHVISION_AVAILABLE:
     import torchvision