diff --git a/pl_bolts/callbacks/data_monitor.py b/pl_bolts/callbacks/data_monitor.py
index a623951d2e..be5c616de5 100644
--- a/pl_bolts/callbacks/data_monitor.py
+++ b/pl_bolts/callbacks/data_monitor.py
@@ -4,15 +4,13 @@
 import numpy as np
 import torch
 import torch.nn as nn
-from torch import Tensor
-from torch.utils.hooks import RemovableHandle
-
 from pytorch_lightning import Callback
 from pytorch_lightning import LightningModule, Trainer
 from pytorch_lightning.loggers import WandbLogger, TensorBoardLogger
 from pytorch_lightning.utilities import rank_zero_warn
 from pytorch_lightning.utilities.apply_func import apply_to_collection
-
+from torch import Tensor
+from torch.utils.hooks import RemovableHandle
 
 try:
     import wandb
diff --git a/pl_bolts/callbacks/ssl_online.py b/pl_bolts/callbacks/ssl_online.py
index 52fb1a796f..788b0f252f 100644
--- a/pl_bolts/callbacks/ssl_online.py
+++ b/pl_bolts/callbacks/ssl_online.py
@@ -1,11 +1,10 @@
-from typing import List, Optional, Union
+from typing import Optional
 
 import torch
+from pytorch_lightning import Callback
 from pytorch_lightning.metrics.functional import accuracy
 from torch.nn import functional as F
 
-from pytorch_lightning import Callback
-
 
 class SSLOnlineEvaluator(Callback):  # pragma: no-cover
     """
diff --git a/pl_bolts/callbacks/variational.py b/pl_bolts/callbacks/variational.py
index b0ce7c7fce..1b945e9631 100644
--- a/pl_bolts/callbacks/variational.py
+++ b/pl_bolts/callbacks/variational.py
@@ -1,14 +1,14 @@
 import math
-from warnings import warn
 
 import torch
 from pytorch_lightning.callbacks import Callback
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     import torchvision
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 class LatentDimInterpolator(Callback):
diff --git a/pl_bolts/callbacks/vision/image_generation.py b/pl_bolts/callbacks/vision/image_generation.py
index 021b53283d..ac71c0dfd0 100644
--- a/pl_bolts/callbacks/vision/image_generation.py
+++ b/pl_bolts/callbacks/vision/image_generation.py
@@ -1,13 +1,12 @@
-from warnings import warn
-
 import torch
 from pytorch_lightning import Callback
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     import torchvision
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 class TensorboardGenerativeModelImageSampler(Callback):
diff --git a/pl_bolts/datamodules/binary_mnist_datamodule.py b/pl_bolts/datamodules/binary_mnist_datamodule.py
index 8ef9467acc..fc08c6f5a8 100644
--- a/pl_bolts/datamodules/binary_mnist_datamodule.py
+++ b/pl_bolts/datamodules/binary_mnist_datamodule.py
@@ -1,16 +1,15 @@
-from warnings import warn
-
 import torch
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader, random_split
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision import transforms as transform_lib
     from torchvision.datasets import MNIST
     from pl_bolts.datasets.mnist_dataset import BinaryMNIST
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/cifar10_datamodule.py b/pl_bolts/datamodules/cifar10_datamodule.py
index 29713cb68c..19535b2932 100644
--- a/pl_bolts/datamodules/cifar10_datamodule.py
+++ b/pl_bolts/datamodules/cifar10_datamodule.py
@@ -1,6 +1,5 @@
 import os
 from typing import Optional, Sequence
-from warnings import warn
 
 import torch
 from pytorch_lightning import LightningDataModule
@@ -8,14 +7,14 @@
 
 from pl_bolts.datasets.cifar10_dataset import TrialCIFAR10
 from pl_bolts.transforms.dataset_normalizations import cifar10_normalization
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms as transform_lib
     from torchvision.datasets import CIFAR10
 
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/cityscapes_datamodule.py b/pl_bolts/datamodules/cityscapes_datamodule.py
index 02d1d223bb..a0d623253e 100644
--- a/pl_bolts/datamodules/cityscapes_datamodule.py
+++ b/pl_bolts/datamodules/cityscapes_datamodule.py
@@ -1,15 +1,13 @@
-from warnings import warn
-
-import torch
 from pytorch_lightning import LightningDataModule
-from torch.utils.data import DataLoader, random_split
+from torch.utils.data import DataLoader
+
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms as transform_lib
     from torchvision.datasets import Cityscapes
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/fashion_mnist_datamodule.py b/pl_bolts/datamodules/fashion_mnist_datamodule.py
index 1adc2a84c9..32ccb2ce81 100644
--- a/pl_bolts/datamodules/fashion_mnist_datamodule.py
+++ b/pl_bolts/datamodules/fashion_mnist_datamodule.py
@@ -1,15 +1,14 @@
-from warnings import warn
-
 import torch
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader, random_split
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision import transforms as transform_lib
     from torchvision.datasets import FashionMNIST
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/imagenet_datamodule.py b/pl_bolts/datamodules/imagenet_datamodule.py
index 806a63ffe1..63ae86d1e0 100644
--- a/pl_bolts/datamodules/imagenet_datamodule.py
+++ b/pl_bolts/datamodules/imagenet_datamodule.py
@@ -1,17 +1,16 @@
 import os
 from typing import Optional
-from warnings import warn
 
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader
 
 from pl_bolts.transforms.dataset_normalizations import imagenet_normalization
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms as transform_lib
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
@@ -19,8 +18,7 @@
 try:
     from pl_bolts.datasets.imagenet_dataset import UnlabeledImagenet
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/mnist_datamodule.py b/pl_bolts/datamodules/mnist_datamodule.py
index 7229462e97..438914dd5e 100644
--- a/pl_bolts/datamodules/mnist_datamodule.py
+++ b/pl_bolts/datamodules/mnist_datamodule.py
@@ -1,15 +1,14 @@
-from warnings import warn
-
 import torch
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader, random_split
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision import transforms as transform_lib
     from torchvision.datasets import MNIST
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/ssl_imagenet_datamodule.py b/pl_bolts/datamodules/ssl_imagenet_datamodule.py
index 3ce1f6d6d8..4966363f28 100644
--- a/pl_bolts/datamodules/ssl_imagenet_datamodule.py
+++ b/pl_bolts/datamodules/ssl_imagenet_datamodule.py
@@ -1,18 +1,17 @@
 import os
-from warnings import warn
 
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader
 
 from pl_bolts.datasets.imagenet_dataset import UnlabeledImagenet
 from pl_bolts.transforms.dataset_normalizations import imagenet_normalization
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms as transform_lib
 
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/stl10_datamodule.py b/pl_bolts/datamodules/stl10_datamodule.py
index a6eda48c7e..2ca58b3268 100644
--- a/pl_bolts/datamodules/stl10_datamodule.py
+++ b/pl_bolts/datamodules/stl10_datamodule.py
@@ -1,6 +1,5 @@
 import os
 from typing import Optional
-from warnings import warn
 
 import torch
 from pytorch_lightning import LightningDataModule
@@ -8,13 +7,13 @@
 
 from pl_bolts.datasets.concat_dataset import ConcatDataset
 from pl_bolts.transforms.dataset_normalizations import stl10_normalization
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms as transform_lib
     from torchvision.datasets import STL10
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datamodules/vocdetection_datamodule.py b/pl_bolts/datamodules/vocdetection_datamodule.py
index 580aca09f2..008d859c35 100644
--- a/pl_bolts/datamodules/vocdetection_datamodule.py
+++ b/pl_bolts/datamodules/vocdetection_datamodule.py
@@ -1,16 +1,15 @@
-from warnings import warn
-
 import torch
 import torchvision.transforms as T
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision.datasets import VOCDetection
 
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/datasets/cifar10_dataset.py b/pl_bolts/datasets/cifar10_dataset.py
index cd6e50ddef..2b8ef9fc39 100644
--- a/pl_bolts/datasets/cifar10_dataset.py
+++ b/pl_bolts/datasets/cifar10_dataset.py
@@ -2,16 +2,16 @@
 import pickle
 import tarfile
 from typing import Tuple, Optional, Sequence, Callable
-from warnings import warn
 
 import torch
 from torch import Tensor
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from PIL import Image
 except ModuleNotFoundError:
-    warn('You want to use `Pillow` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install Pillow`.')
+    warn_missing_pkg('PIL', pypi_name='Pillow')  # pragma: no-cover
     _PIL_AVAILABLE = False
 else:
     _PIL_AVAILABLE = True
diff --git a/pl_bolts/datasets/mnist_dataset.py b/pl_bolts/datasets/mnist_dataset.py
index 0144f96345..cdea04566b 100644
--- a/pl_bolts/datasets/mnist_dataset.py
+++ b/pl_bolts/datasets/mnist_dataset.py
@@ -1,4 +1,4 @@
-from warnings import warn
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms as transform_lib
@@ -11,8 +11,7 @@
 try:
     from PIL import Image
 except ModuleNotFoundError:
-    warn('You want to use `Pillow` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install Pillow`.')
+    warn_missing_pkg('PIL', pypi_name='Pillow')  # pragma: no-cover
     _PIL_AVAILABLE = False
 else:
     _PIL_AVAILABLE = True
diff --git a/pl_bolts/datasets/ssl_amdim_datasets.py b/pl_bolts/datasets/ssl_amdim_datasets.py
index 33915564a4..e7cc43a78d 100644
--- a/pl_bolts/datasets/ssl_amdim_datasets.py
+++ b/pl_bolts/datasets/ssl_amdim_datasets.py
@@ -1,14 +1,14 @@
 from abc import ABC
 from typing import Callable, Optional
-from warnings import warn
 
 import numpy as np
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision.datasets import CIFAR10
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 class SSLDatasetMixin(ABC):
diff --git a/pl_bolts/models/detection/faster_rcnn.py b/pl_bolts/models/detection/faster_rcnn.py
index c6fbb819e8..b6b6674bf8 100644
--- a/pl_bolts/models/detection/faster_rcnn.py
+++ b/pl_bolts/models/detection/faster_rcnn.py
@@ -1,15 +1,15 @@
 from argparse import ArgumentParser
-from warnings import warn
 
 import pytorch_lightning as pl
 import torch
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision.models.detection import faster_rcnn, fasterrcnn_resnet50_fpn
     from torchvision.ops import box_iou
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 def _evaluate_iou(target, pred):
diff --git a/pl_bolts/models/mnist_module.py b/pl_bolts/models/mnist_module.py
index d9521e1db8..ac024afc44 100644
--- a/pl_bolts/models/mnist_module.py
+++ b/pl_bolts/models/mnist_module.py
@@ -1,18 +1,18 @@
 import os
 from argparse import ArgumentParser
-from warnings import warn
 
 import torch
 from pytorch_lightning import LightningModule, Trainer
 from torch.nn import functional as F
 from torch.utils.data import DataLoader, random_split
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision import transforms
     from torchvision.datasets import MNIST
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 class LitMNIST(LightningModule):
diff --git a/pl_bolts/models/rl/common/gym_wrappers.py b/pl_bolts/models/rl/common/gym_wrappers.py
index 16bfd2d2e0..1aefbc3231 100644
--- a/pl_bolts/models/rl/common/gym_wrappers.py
+++ b/pl_bolts/models/rl/common/gym_wrappers.py
@@ -3,18 +3,18 @@
 https://github.com/Shmuma/ptan/blob/master/ptan/common/wrappers.py
 """
 import collections
-from warnings import warn
 
 import gym
 import gym.spaces
 import numpy as np
 import torch
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     import cv2
 except ModuleNotFoundError:
-    warn('You want to use `openCV` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install opencv-python`.')
+    warn_missing_pkg('cv2', pypi_name='opencv-python')  # pragma: no-cover
     _OPENCV_AVAILABLE = False
 else:
     _OPENCV_AVAILABLE = True
diff --git a/pl_bolts/models/rl/dqn_model.py b/pl_bolts/models/rl/dqn_model.py
index 5b3c7704b6..bb99422c50 100644
--- a/pl_bolts/models/rl/dqn_model.py
+++ b/pl_bolts/models/rl/dqn_model.py
@@ -5,7 +5,6 @@
 import argparse
 from collections import OrderedDict
 from typing import Tuple, List, Dict, Optional
-from warnings import warn
 
 import numpy as np
 import pytorch_lightning as pl
@@ -21,12 +20,12 @@
 from pl_bolts.models.rl.common.agents import ValueAgent
 from pl_bolts.models.rl.common.memory import MultiStepBuffer
 from pl_bolts.models.rl.common.networks import CNN
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from pl_bolts.models.rl.common.gym_wrappers import gym, make_environment
 except ModuleNotFoundError:
-    warn('You want to use `gym` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install gym`.')
+    warn_missing_pkg('gym')  # pragma: no-cover
     _GYM_AVAILABLE = False
 else:
     _GYM_AVAILABLE = True
diff --git a/pl_bolts/models/rl/reinforce_model.py b/pl_bolts/models/rl/reinforce_model.py
index 9dd2173280..029047d6c6 100644
--- a/pl_bolts/models/rl/reinforce_model.py
+++ b/pl_bolts/models/rl/reinforce_model.py
@@ -1,7 +1,6 @@
 import argparse
 from collections import OrderedDict
 from typing import Tuple, List
-from warnings import warn
 
 import numpy as np
 import pytorch_lightning as pl
@@ -17,11 +16,12 @@
 from pl_bolts.datamodules.experience_source import Experience
 from pl_bolts.models.rl.common.agents import PolicyAgent
 from pl_bolts.models.rl.common.networks import MLP
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     import gym
 except ModuleNotFoundError:
-    warn('You want to use `gym` which is not installed yet, install it with `pip install gym`.')  # pragma: no-cover
+    warn_missing_pkg('gym')  # pragma: no-cover
     _GYM_AVAILABLE = False
 else:
     _GYM_AVAILABLE = True
diff --git a/pl_bolts/models/rl/vanilla_policy_gradient_model.py b/pl_bolts/models/rl/vanilla_policy_gradient_model.py
index e28dcf9c62..568de89983 100644
--- a/pl_bolts/models/rl/vanilla_policy_gradient_model.py
+++ b/pl_bolts/models/rl/vanilla_policy_gradient_model.py
@@ -1,7 +1,6 @@
 import argparse
 from collections import OrderedDict
 from typing import Tuple, List
-from warnings import warn
 
 import numpy as np
 import pytorch_lightning as pl
@@ -16,11 +15,12 @@
 from pl_bolts.datamodules import ExperienceSourceDataset
 from pl_bolts.models.rl.common.agents import PolicyAgent
 from pl_bolts.models.rl.common.networks import MLP
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     import gym
 except ModuleNotFoundError:
-    warn('You want to use `gym` which is not installed yet, install it with `pip install gym`.')  # pragma: no-cover
+    warn_missing_pkg('gym')  # pragma: no-cover
     _GYM_AVAILABLE = False
 else:
     _GYM_AVAILABLE = True
diff --git a/pl_bolts/models/self_supervised/amdim/datasets.py b/pl_bolts/models/self_supervised/amdim/datasets.py
index 6768635acf..d6ad6bd032 100644
--- a/pl_bolts/models/self_supervised/amdim/datasets.py
+++ b/pl_bolts/models/self_supervised/amdim/datasets.py
@@ -1,16 +1,16 @@
 from typing import Optional
-from warnings import warn
 
 from torch.utils.data import random_split
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision.datasets import STL10
     from pl_bolts.datasets.imagenet_dataset import UnlabeledImagenet
     from pl_bolts.datasets.ssl_amdim_datasets import CIFAR10Mixed
     from pl_bolts.models.self_supervised.amdim import transforms as amdim_transforms
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 class AMDIMPretraining():
diff --git a/pl_bolts/models/self_supervised/amdim/transforms.py b/pl_bolts/models/self_supervised/amdim/transforms.py
index cd30aa3972..f9705d6ae9 100644
--- a/pl_bolts/models/self_supervised/amdim/transforms.py
+++ b/pl_bolts/models/self_supervised/amdim/transforms.py
@@ -1,12 +1,10 @@
-from warnings import warn
-
 from pl_bolts.transforms.self_supervised import RandomTranslateWithReflect
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/models/self_supervised/cpc/transforms.py b/pl_bolts/models/self_supervised/cpc/transforms.py
index 0fa7b10a3f..8d2b8b0d97 100644
--- a/pl_bolts/models/self_supervised/cpc/transforms.py
+++ b/pl_bolts/models/self_supervised/cpc/transforms.py
@@ -1,12 +1,10 @@
-from warnings import warn
-
 from pl_bolts.transforms.self_supervised import RandomTranslateWithReflect, Patchify
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
diff --git a/pl_bolts/models/self_supervised/moco/moco2_module.py b/pl_bolts/models/self_supervised/moco/moco2_module.py
index 03b50052b0..ebd3e1583f 100644
--- a/pl_bolts/models/self_supervised/moco/moco2_module.py
+++ b/pl_bolts/models/self_supervised/moco/moco2_module.py
@@ -12,18 +12,18 @@
 
 from argparse import ArgumentParser
 from typing import Union
-from warnings import warn
 
 import pytorch_lightning as pl
 import torch
 import torch.nn.functional as F
 from torch import nn
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     import torchvision
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 from pl_bolts.metrics import precision_at_k, mean
 from pl_bolts.models.self_supervised.moco.transforms import (
diff --git a/pl_bolts/models/self_supervised/moco/transforms.py b/pl_bolts/models/self_supervised/moco/transforms.py
index adfa88f9be..898654f05b 100644
--- a/pl_bolts/models/self_supervised/moco/transforms.py
+++ b/pl_bolts/models/self_supervised/moco/transforms.py
@@ -1,14 +1,13 @@
 import random
-from warnings import warn
 
 from pl_bolts.transforms.dataset_normalizations import (
     imagenet_normalization, cifar10_normalization, stl10_normalization)
+from pl_bolts.utils.warnings import warn_missing_pkg
 
 try:
     from torchvision import transforms
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
@@ -16,8 +15,7 @@
 try:
     from PIL import ImageFilter
 except ModuleNotFoundError:
-    warn('You want to use `Pillow` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install Pillow`.')
+    warn_missing_pkg('PIL', pypi_name='Pillow')  # pragma: no-cover
     _PIL_AVAILABLE = False
 else:
     _PIL_AVAILABLE = True
diff --git a/pl_bolts/models/self_supervised/resnets.py b/pl_bolts/models/self_supervised/resnets.py
index 4d54b2f009..83c35fc967 100644
--- a/pl_bolts/models/self_supervised/resnets.py
+++ b/pl_bolts/models/self_supervised/resnets.py
@@ -1,12 +1,11 @@
-from warnings import warn
-
 import torch.nn as nn
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision.models.utils import load_state_dict_from_url
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet50_bn', 'resnet101',
            'resnet152', 'resnext50_32x4d', 'resnext101_32x8d',
diff --git a/pl_bolts/models/self_supervised/simclr/simclr_module.py b/pl_bolts/models/self_supervised/simclr/simclr_module.py
index 92517ed490..607dee9c12 100644
--- a/pl_bolts/models/self_supervised/simclr/simclr_module.py
+++ b/pl_bolts/models/self_supervised/simclr/simclr_module.py
@@ -1,16 +1,16 @@
 from argparse import ArgumentParser
-from warnings import warn
 
 import pytorch_lightning as pl
 from torch import nn
 from torch.nn import functional as F
 from torch.optim import Adam
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision.models import densenet
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 from pl_bolts.losses.self_supervised_learning import nt_xent_loss
 from pl_bolts.models.self_supervised.evaluator import Flatten
diff --git a/pl_bolts/models/self_supervised/simclr/transforms.py b/pl_bolts/models/self_supervised/simclr/transforms.py
index 9a9d2cc12d..a154130768 100644
--- a/pl_bolts/models/self_supervised/simclr/transforms.py
+++ b/pl_bolts/models/self_supervised/simclr/transforms.py
@@ -1,12 +1,11 @@
-from warnings import warn
-
 import numpy as np
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     import torchvision.transforms as transforms
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
@@ -14,8 +13,7 @@
 try:
     import cv2
 except ModuleNotFoundError:
-    warn('You want to use `opencv-python` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install opencv-python`.')
+    warn_missing_pkg('cv2', pypi_name='opencv-python')  # pragma: no-cover
 
 
 class SimCLRTrainDataTransform(object):
diff --git a/pl_bolts/models/self_supervised/ssl_finetuner.py b/pl_bolts/models/self_supervised/ssl_finetuner.py
index 98cbe224ba..6d67bdea4a 100644
--- a/pl_bolts/models/self_supervised/ssl_finetuner.py
+++ b/pl_bolts/models/self_supervised/ssl_finetuner.py
@@ -1,11 +1,11 @@
+from typing import Optional, List
+
 import pytorch_lightning as pl
-import pytorch_lightning.metrics.functional as plm
 import torch
 import torch.nn.functional as F
+from pytorch_lightning.metrics import Accuracy
 
 from pl_bolts.models.self_supervised import SSLEvaluator
-from typing import Optional, List
-from pytorch_lightning.metrics import Accuracy
 
 
 class SSLFineTuner(pl.LightningModule):
diff --git a/pl_bolts/models/self_supervised/swav/swav_module.py b/pl_bolts/models/self_supervised/swav/swav_module.py
index b7cf58ebbf..a9a331ecf4 100644
--- a/pl_bolts/models/self_supervised/swav/swav_module.py
+++ b/pl_bolts/models/self_supervised/swav/swav_module.py
@@ -4,21 +4,19 @@
 import math
 import os
 from argparse import ArgumentParser
-from warnings import warn
+from typing import Callable, Optional
 
 import numpy as np
 import pytorch_lightning as pl
 import torch
 import torch.distributed as dist
+from pytorch_lightning.utilities import AMPType
 from torch import nn
 from torch.optim.optimizer import Optimizer
 
-from typing import Callable, Optional
-from pytorch_lightning.utilities import AMPType
-
 from pl_bolts.models.self_supervised.swav.swav_resnet import resnet50, resnet18
-from pl_bolts.transforms.dataset_normalizations import stl10_normalization, cifar10_normalization
 from pl_bolts.optimizers.lars_scheduling import LARSWrapper
+from pl_bolts.transforms.dataset_normalizations import stl10_normalization, cifar10_normalization
 
 
 class SwAV(pl.LightningModule):
@@ -474,7 +472,7 @@ def add_model_specific_args(parent_parser):
 def cli_main():
     from pl_bolts.callbacks.ssl_online import SSLOnlineEvaluator
     from pl_bolts.models.self_supervised.swav.transforms import SwAVTrainDataTransform, SwAVEvalDataTransform
-    from pl_bolts.datamodules import STL10DataModule, ImagenetDataModule, CIFAR10DataModule
+    from pl_bolts.datamodules import STL10DataModule, CIFAR10DataModule
 
     parser = ArgumentParser()
 
diff --git a/pl_bolts/models/self_supervised/swav/transforms.py b/pl_bolts/models/self_supervised/swav/transforms.py
index 2e243ca8c4..de5b72e620 100644
--- a/pl_bolts/models/self_supervised/swav/transforms.py
+++ b/pl_bolts/models/self_supervised/swav/transforms.py
@@ -1,12 +1,11 @@
-from warnings import warn
-
 import numpy as np
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     import torchvision.transforms as transforms
 except ImportError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
     _TORCHVISION_AVAILABLE = False
 else:
     _TORCHVISION_AVAILABLE = True
@@ -14,8 +13,7 @@
 try:
     import cv2
 except ImportError:
-    warn('You want to use `opencv-python` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install opencv-python`.')
+    warn_missing_pkg('cv2', pypi_name='opencv-python')  # pragma: no-cover
 
 from typing import List
 
diff --git a/pl_bolts/transforms/dataset_normalizations.py b/pl_bolts/transforms/dataset_normalizations.py
index 12115c3b1f..c9dae42468 100644
--- a/pl_bolts/transforms/dataset_normalizations.py
+++ b/pl_bolts/transforms/dataset_normalizations.py
@@ -1,9 +1,9 @@
-from warnings import warn
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from torchvision import transforms
 except ModuleNotFoundError:
-    warn('You want to use `torchvision` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install torchvision`.')
+    warn_missing_pkg('torchvision')  # pragma: no-cover
 
 
 def imagenet_normalization():
diff --git a/pl_bolts/transforms/self_supervised/ssl_transforms.py b/pl_bolts/transforms/self_supervised/ssl_transforms.py
index 1e51dda4fc..40eff54633 100644
--- a/pl_bolts/transforms/self_supervised/ssl_transforms.py
+++ b/pl_bolts/transforms/self_supervised/ssl_transforms.py
@@ -1,13 +1,12 @@
-from warnings import warn
-
 import numpy as np
 import torch.nn.functional as F
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 try:
     from PIL import Image
 except ModuleNotFoundError:
-    warn('You want to use `Pillow` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install Pillow`.')
+    warn_missing_pkg('PIL', pypi_name='Pillow')  # pragma: no-cover
     _PIL_AVAILABLE = False
 else:
     _PIL_AVAILABLE = True
diff --git a/pl_bolts/utils/semi_supervised.py b/pl_bolts/utils/semi_supervised.py
index b168b3f7f0..1dd7ab43c1 100644
--- a/pl_bolts/utils/semi_supervised.py
+++ b/pl_bolts/utils/semi_supervised.py
@@ -1,16 +1,16 @@
 import importlib
 import math
-from warnings import warn
 
 import numpy as np
 import torch
 
+from pl_bolts.utils.warnings import warn_missing_pkg
+
 _SKLEARN_AVAILABLE = importlib.util.find_spec("sklearn") is not None
 if _SKLEARN_AVAILABLE:
     from sklearn.utils import shuffle as sk_shuffle
 else:
-    warn('You want to use `sklearn` which is not installed yet,'  # pragma: no-cover
-         ' install it with `pip install sklearn`.')
+    warn_missing_pkg('sklearn', pypi_name='scikit-learn')  # pragma: no-cover
 
 
 class Identity(torch.nn.Module):
diff --git a/pl_bolts/utils/warnings.py b/pl_bolts/utils/warnings.py
new file mode 100644
index 0000000000..9d9dabbc25
--- /dev/null
+++ b/pl_bolts/utils/warnings.py
@@ -0,0 +1,31 @@
+import os
+import warnings
+
+MISSING_PACKAGE_WARNINGS = {}
+
+
+def warn_missing_pkg(pkg_name: str, pypi_name: str = None, extra_text: str = None, stdout_func=warnings.warn):
+    """
+    Template for warning on missing packages, show them just once.
+
+    Args:
+        pkg_name: name of missing package
+        pypi_name: in case that package name differ from PyPI name
+        extra_text: additional text after the base warning
+        stdout_func: define used function for streaming warning, use `warnings.warn` or `logging.warning`
+
+    Returns:
+        number of warning calls
+    """
+    global MISSING_PACKAGE_WARNINGS
+    if pkg_name not in MISSING_PACKAGE_WARNINGS:
+        extra_text = os.linesep + extra_text if extra_text else ''
+        if not pypi_name:
+            pypi_name = pkg_name
+        stdout_func(f'You want to use `{pkg_name}` which is not installed yet,'
+                    f' install it with `pip install {pypi_name}`.' + extra_text)
+        MISSING_PACKAGE_WARNINGS[pkg_name] = 1
+    else:
+        MISSING_PACKAGE_WARNINGS[pkg_name] += 1
+
+    return MISSING_PACKAGE_WARNINGS[pkg_name]