diff --git a/pl_examples/full_examples/semantic_segmentation/models/unet/model.py b/pl_examples/full_examples/semantic_segmentation/models/unet/model.py
index c83516d9a0..6f8df926c1 100644
--- a/pl_examples/full_examples/semantic_segmentation/models/unet/model.py
+++ b/pl_examples/full_examples/semantic_segmentation/models/unet/model.py
@@ -1,6 +1,4 @@
-import torch
 import torch.nn as nn
-import torch.nn.functional as F
 
 from models.unet.parts import DoubleConv, Down, Up
 
diff --git a/pl_examples/full_examples/semantic_segmentation/semseg.py b/pl_examples/full_examples/semantic_segmentation/semseg.py
index 1f8a5e9954..7e512554fd 100644
--- a/pl_examples/full_examples/semantic_segmentation/semseg.py
+++ b/pl_examples/full_examples/semantic_segmentation/semseg.py
@@ -1,18 +1,15 @@
 import os
 from argparse import ArgumentParser
-from collections import OrderedDict
-from PIL import Image
 
 import numpy as np
 import torch
-import torch.nn as nn
 import torch.nn.functional as F
-import torchvision
 import torchvision.transforms as transforms
+from PIL import Image
+from models.unet.model import UNet
 from torch.utils.data import DataLoader, Dataset
 
 import pytorch_lightning as pl
-from models.unet.model import UNet
 
 
 class KITTI(Dataset):
diff --git a/pytorch_lightning/callbacks/__init__.py b/pytorch_lightning/callbacks/__init__.py
index 5618797275..3a3d9d529b 100644
--- a/pytorch_lightning/callbacks/__init__.py
+++ b/pytorch_lightning/callbacks/__init__.py
@@ -1,8 +1,7 @@
 from .base import Callback
 from .early_stopping import EarlyStopping
-from .model_checkpoint import ModelCheckpoint
 from .gradient_accumulation_scheduler import GradientAccumulationScheduler
-
+from .model_checkpoint import ModelCheckpoint
 
 __all__ = [
     'Callback',
diff --git a/pytorch_lightning/callbacks/model_checkpoint.py b/pytorch_lightning/callbacks/model_checkpoint.py
index c3d096eb75..929ef6c96c 100644
--- a/pytorch_lightning/callbacks/model_checkpoint.py
+++ b/pytorch_lightning/callbacks/model_checkpoint.py
@@ -5,9 +5,9 @@ Model Checkpointing
 Automatically save model checkpoints during training.
 """
 
+import logging as log
 import os
 import shutil
-import logging as log
 import warnings
 import re
 
diff --git a/pytorch_lightning/core/decorators.py b/pytorch_lightning/core/decorators.py
index 56171e414c..3cd22c2618 100644
--- a/pytorch_lightning/core/decorators.py
+++ b/pytorch_lightning/core/decorators.py
@@ -1,5 +1,3 @@
-import traceback
-from functools import wraps
 import warnings
 
 
diff --git a/pytorch_lightning/core/lightning.py b/pytorch_lightning/core/lightning.py
index 11a64acb59..68cfee6f88 100644
--- a/pytorch_lightning/core/lightning.py
+++ b/pytorch_lightning/core/lightning.py
@@ -13,8 +13,8 @@ from torch.optim import Adam
 
 from pytorch_lightning.core.grads import GradInformation
 from pytorch_lightning.core.hooks import ModelHooks
-from pytorch_lightning.core.saving import ModelIO, load_hparams_from_tags_csv
 from pytorch_lightning.core.memory import ModelSummary
+from pytorch_lightning.core.saving import ModelIO, load_hparams_from_tags_csv
 from pytorch_lightning.overrides.data_parallel import LightningDistributedDataParallel
 from pytorch_lightning.utilities.debugging import MisconfigurationException
 
diff --git a/pytorch_lightning/core/saving.py b/pytorch_lightning/core/saving.py
index 3129cfbdab..9668f7c4e7 100644
--- a/pytorch_lightning/core/saving.py
+++ b/pytorch_lightning/core/saving.py
@@ -1,6 +1,6 @@
-import os
 import csv
 import logging as log
+import os
 from argparse import Namespace
 
 
diff --git a/pytorch_lightning/profiler/profiler.py b/pytorch_lightning/profiler/profiler.py
index e7b9892525..dee6c45f14 100644
--- a/pytorch_lightning/profiler/profiler.py
+++ b/pytorch_lightning/profiler/profiler.py
@@ -1,12 +1,13 @@
-from contextlib import contextmanager
-from collections import defaultdict
-import time
-import numpy as np
 import cProfile
-import pstats
 import io
-from abc import ABC, abstractmethod
 import logging as log
+import pstats
+import time
+from abc import ABC, abstractmethod
+from collections import defaultdict
+from contextlib import contextmanager
+
+import numpy as np
 
 
 class BaseProfiler(ABC):
diff --git a/pytorch_lightning/trainer/callback_hook.py b/pytorch_lightning/trainer/callback_hook.py
index 3ab7575fe8..48d703b84e 100644
--- a/pytorch_lightning/trainer/callback_hook.py
+++ b/pytorch_lightning/trainer/callback_hook.py
@@ -1,5 +1,5 @@
-from typing import Callable
 from abc import ABC
+from typing import Callable
 
 from pytorch_lightning.callbacks import Callback
 
diff --git a/pytorch_lightning/trainer/distrib_data_parallel.py b/pytorch_lightning/trainer/distrib_data_parallel.py
index defb751cee..7da890624f 100644
--- a/pytorch_lightning/trainer/distrib_data_parallel.py
+++ b/pytorch_lightning/trainer/distrib_data_parallel.py
@@ -121,8 +121,8 @@ from abc import ABC, abstractmethod
 from typing import Union
 
 import torch
-from pytorch_lightning.loggers import LightningLoggerBase
 
+from pytorch_lightning.loggers import LightningLoggerBase
 from pytorch_lightning.utilities.debugging import MisconfigurationException
 
 try:
diff --git a/pytorch_lightning/trainer/distrib_parts.py b/pytorch_lightning/trainer/distrib_parts.py
index 0a629a6f21..972c0478b7 100644
--- a/pytorch_lightning/trainer/distrib_parts.py
+++ b/pytorch_lightning/trainer/distrib_parts.py
@@ -334,10 +334,9 @@ Here lightning distributes parts of your module across available GPUs to optimiz
 
 """
 
-from abc import ABC, abstractmethod
 import logging as log
 import os
-import signal
+from abc import ABC, abstractmethod
 
 import torch
 
diff --git a/pytorch_lightning/trainer/evaluation_loop.py b/pytorch_lightning/trainer/evaluation_loop.py
index 1ca088ebbc..2e9c4cc635 100644
--- a/pytorch_lightning/trainer/evaluation_loop.py
+++ b/pytorch_lightning/trainer/evaluation_loop.py
@@ -123,10 +123,9 @@ In this second case, the options you pass to trainer will be used when running
 
 """
 
-from typing import Callable
-
 import sys
 from abc import ABC, abstractmethod
+from typing import Callable
 
 import torch
 from torch.utils.data import DataLoader
diff --git a/pytorch_lightning/trainer/logging.py b/pytorch_lightning/trainer/logging.py
index 091ab02465..313eed54d3 100644
--- a/pytorch_lightning/trainer/logging.py
+++ b/pytorch_lightning/trainer/logging.py
@@ -1,4 +1,4 @@
-from abc import ABC, abstractmethod
+from abc import ABC
 from typing import Union, Iterable
 
 import torch
diff --git a/pytorch_lightning/trainer/trainer.py b/pytorch_lightning/trainer/trainer.py
index 4d4f78f7c3..7668a1f6de 100644
--- a/pytorch_lightning/trainer/trainer.py
+++ b/pytorch_lightning/trainer/trainer.py
@@ -1,20 +1,22 @@
+import logging as log
 import os
 import sys
 import warnings
-import logging as log
-from typing import Union, Optional, List, Dict, Tuple, Iterable
 from argparse import ArgumentParser
+from typing import Union, Optional, List, Dict, Tuple, Iterable
 
 import torch
 from torch import optim
 import torch.distributed as dist
 import torch.multiprocessing as mp
+from torch.optim.optimizer import Optimizer
 from torch.utils.data import DataLoader
 from tqdm.auto import tqdm
-from torch.optim.optimizer import Optimizer
 
+from pytorch_lightning.callbacks import Callback
 from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping
 from pytorch_lightning.loggers import LightningLoggerBase
+from pytorch_lightning.profiler import Profiler, PassThroughProfiler
 from pytorch_lightning.profiler.profiler import BaseProfiler
 from pytorch_lightning.trainer.auto_mix_precision import TrainerAMPMixin
 from pytorch_lightning.trainer.callback_config import TrainerCallbackConfigMixin
@@ -35,9 +37,6 @@ from pytorch_lightning.trainer.training_io import TrainerIOMixin
 from pytorch_lightning.trainer.training_loop import TrainerTrainLoopMixin
 from pytorch_lightning.trainer.training_tricks import TrainerTrainingTricksMixin
 from pytorch_lightning.utilities.debugging import MisconfigurationException
-from pytorch_lightning.profiler import Profiler, PassThroughProfiler
-from pytorch_lightning.callbacks import Callback
-
 
 try:
     from apex import amp
diff --git a/pytorch_lightning/trainer/training_loop.py b/pytorch_lightning/trainer/training_loop.py
index c6f844370b..9691c3c8ed 100644
--- a/pytorch_lightning/trainer/training_loop.py
+++ b/pytorch_lightning/trainer/training_loop.py
@@ -121,21 +121,20 @@ When this flag is enabled each batch is split into sequences of size truncated_b
 
 """
 
-from typing import Callable
-
 import copy
-import warnings
 import logging as log
+import warnings
 from abc import ABC, abstractmethod
+from typing import Callable
 from typing import Union, List
 
 import numpy as np
 from torch.utils.data import DataLoader
 
+from pytorch_lightning.callbacks.base import Callback
 from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.loggers import LightningLoggerBase
 from pytorch_lightning.utilities.debugging import MisconfigurationException
-from pytorch_lightning.callbacks.base import Callback
 
 try:
     from apex import amp
diff --git a/pytorch_lightning/trainer/training_tricks.py b/pytorch_lightning/trainer/training_tricks.py
index c468e1ba61..304e720d11 100644
--- a/pytorch_lightning/trainer/training_tricks.py
+++ b/pytorch_lightning/trainer/training_tricks.py
@@ -1,8 +1,8 @@
 import logging as log
+import math
 from abc import ABC, abstractmethod
 
 import torch
-import math
 
 from pytorch_lightning.callbacks import GradientAccumulationScheduler
 
diff --git a/tests/loggers/test_base.py b/tests/loggers/test_base.py
index 15551707a2..4e4ba58e1c 100644
--- a/tests/loggers/test_base.py
+++ b/tests/loggers/test_base.py
@@ -1,5 +1,4 @@
 import pickle
-
 from unittest.mock import MagicMock
 
 import tests.models.utils as tutils
diff --git a/tests/loggers/test_comet.py b/tests/loggers/test_comet.py
index aee266ba68..69f434c06e 100644
--- a/tests/loggers/test_comet.py
+++ b/tests/loggers/test_comet.py
@@ -1,16 +1,14 @@
 import os
 import pickle
-
-import torch
-
 from unittest.mock import patch
 
 import pytest
+import torch
 
 import tests.models.utils as tutils
 from pytorch_lightning import Trainer
-from pytorch_lightning.utilities.debugging import MisconfigurationException
 from pytorch_lightning.loggers import CometLogger
+from pytorch_lightning.utilities.debugging import MisconfigurationException
 from tests.models import LightningTestModel
 
 
diff --git a/tests/loggers/test_neptune.py b/tests/loggers/test_neptune.py
index f8aefaeb98..6130bfb532 100644
--- a/tests/loggers/test_neptune.py
+++ b/tests/loggers/test_neptune.py
@@ -1,14 +1,13 @@
 import pickle
-
 from unittest.mock import patch
 
+import torch
+
 import tests.models.utils as tutils
 from pytorch_lightning import Trainer
 from pytorch_lightning.loggers import NeptuneLogger
 from tests.models import LightningTestModel
 
-import torch
-
 
 def test_neptune_logger(tmpdir):
     """Verify that basic functionality of neptune logger works."""
diff --git a/tests/loggers/test_wandb.py b/tests/loggers/test_wandb.py
index 3576940339..abb49544b1 100644
--- a/tests/loggers/test_wandb.py
+++ b/tests/loggers/test_wandb.py
@@ -1,8 +1,8 @@
 import os
 import pickle
+from unittest.mock import patch
 
 import pytest
-from unittest.mock import patch
 
 import tests.models.utils as tutils
 from pytorch_lightning import Trainer
diff --git a/tests/test_amp.py b/tests/test_amp.py
index 5a34906239..832c7ba7a8 100644
--- a/tests/test_amp.py
+++ b/tests/test_amp.py
@@ -4,10 +4,10 @@ import pytest
 
 import tests.models.utils as tutils
 from pytorch_lightning import Trainer
+from pytorch_lightning.utilities.debugging import MisconfigurationException
 from tests.models import (
     LightningTestModel,
 )
-from pytorch_lightning.utilities.debugging import MisconfigurationException
 
 
 def test_amp_single_gpu(tmpdir):
diff --git a/tests/test_gpu_models.py b/tests/test_gpu_models.py
index 47cd69b521..a95e4d42dd 100644
--- a/tests/test_gpu_models.py
+++ b/tests/test_gpu_models.py
@@ -9,14 +9,14 @@ from pytorch_lightning.callbacks import (
     ModelCheckpoint,
 )
 from pytorch_lightning.core import memory
-from tests.models import (
-    LightningTestModel,
-)
 from pytorch_lightning.trainer.distrib_parts import (
     parse_gpu_ids,
     determine_root_gpu_device,
 )
 from pytorch_lightning.utilities.debugging import MisconfigurationException
+from tests.models import (
+    LightningTestModel,
+)
 
 PRETEND_N_OF_GPUS = 16
 
diff --git a/tests/test_profiler.py b/tests/test_profiler.py
index a383d3ebe6..d2bc1ebf40 100644
--- a/tests/test_profiler.py
+++ b/tests/test_profiler.py
@@ -1,4 +1,5 @@
 import time
+
 import numpy as np
 import pytest
 
diff --git a/tests/trainer/test_callbacks.py b/tests/trainer/test_callbacks.py
index 0c69c155a8..55a84633c8 100644
--- a/tests/trainer/test_callbacks.py
+++ b/tests/trainer/test_callbacks.py
@@ -1,6 +1,7 @@
 import os
 
 import tests.models.utils as tutils
+from pytorch_lightning import Callback
 from pytorch_lightning import Trainer, LightningModule
 from pytorch_lightning.callbacks import ModelCheckpoint
 from tests.models import (
@@ -10,8 +11,6 @@ from tests.models import (
     LightTestMixin
 )
 
-from pytorch_lightning import Callback
-
 
 def test_trainer_callback_system(tmpdir):
     """Test the callback system."""
diff --git a/tests/trainer/test_dataloaders.py b/tests/trainer/test_dataloaders.py
index 95801da253..0070940989 100644
--- a/tests/trainer/test_dataloaders.py
+++ b/tests/trainer/test_dataloaders.py
@@ -2,6 +2,7 @@ import pytest
 
 import tests.models.utils as tutils
 from pytorch_lightning import Trainer
+from pytorch_lightning.utilities.debugging import MisconfigurationException
 from tests.models import (
     TestModelBase,
     LightningTestModel,
@@ -14,7 +15,6 @@ from tests.models import (
     LightValStepFitSingleDataloaderMixin,
     LightTrainDataloader,
 )
-from pytorch_lightning.utilities.debugging import MisconfigurationException
 
 
 def test_multiple_val_dataloader(tmpdir):
diff --git a/tests/trainer/test_trainer.py b/tests/trainer/test_trainer.py
index 9788131c55..21d8577366 100644
--- a/tests/trainer/test_trainer.py
+++ b/tests/trainer/test_trainer.py
@@ -1,17 +1,21 @@
 import glob
 import math
 import os
+from argparse import ArgumentParser, Namespace
+from unittest import mock
+
 import pytest
 import torch
-from argparse import ArgumentParser, Namespace
 
 import tests.models.utils as tutils
-from unittest import mock
-from pytorch_lightning import Trainer, LightningModule
+from pytorch_lightning import Trainer
 from pytorch_lightning.callbacks import (
     EarlyStopping,
     ModelCheckpoint,
 )
+from pytorch_lightning.core.lightning import load_hparams_from_tags_csv
+from pytorch_lightning.trainer.logging import TrainerLoggingMixin
+from pytorch_lightning.utilities.debugging import MisconfigurationException
 from tests.models import (
     TestModelBase,
     DictHparamsModel,
@@ -22,9 +26,6 @@ from tests.models import (
     LightTrainDataloader,
     LightTestDataloader,
 )
-from pytorch_lightning.core.lightning import load_hparams_from_tags_csv
-from pytorch_lightning.trainer.logging import TrainerLoggingMixin
-from pytorch_lightning.utilities.debugging import MisconfigurationException
 
 
 def test_hparams_save_load(tmpdir):