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lightning_examples/augmentation_kornia/augmentation.py

@@ -1,6 +1,7 @@
 # %%
 import os
 
+import lightning as L
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
@@ -12,7 +13,6 @@
 from IPython.display import display
 from kornia import image_to_tensor, tensor_to_image
 from kornia.augmentation import ColorJitter, RandomChannelShuffle, RandomHorizontalFlip, RandomThinPlateSpline
-import lightning as L
 from lightning.pytorch.loggers import CSVLogger
 from torch import Tensor
 from torch.nn import functional as F

lightning_examples/barlow-twins/barlow_twins.py

@@ -7,9 +7,9 @@
 from functools import partial
 from typing import Sequence, Tuple, Union
 
+import lightning as L
 import matplotlib.pyplot as plt
 import numpy as np
-import lightning as L
 import torch
 import torch.nn as nn
 import torch.nn.functional as F

lightning_examples/basic-gan/gan.py

@@ -1,13 +1,13 @@
 # %%
 import os
 
+import lightning as L
 import numpy as np
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
 import torchvision
 import torchvision.transforms as transforms
-import lightning as L
 from torch.utils.data import DataLoader, random_split
 from torchvision.datasets import MNIST
 

lightning_examples/datamodules/datamodules.py

@@ -6,9 +6,9 @@
 # %%
 import os
 
+import lightning as L
 import torch
 import torch.nn.functional as F
-import lightning as L
 from torch import nn
 from torch.utils.data import DataLoader, random_split
 from torchmetrics.functional import accuracy

lightning_examples/mnist-hello-world/hello-world.py

@@ -1,11 +1,11 @@
 # %%
 import os
 
+import lightning as L
 import pandas as pd
 import seaborn as sn
 import torch
 from IPython.display import display
-import lightning as L
 from lightning.pytorch.loggers import CSVLogger
 from torch import nn
 from torch.nn import functional as F

lightning_examples/mnist-tpu-training/mnist-tpu.py

@@ -4,10 +4,11 @@
 # %%
 # ! pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.8-cp37-cp37m-linux_x86_64.whl
 
+import lightning as L
+
 # %%
 import torch
 import torch.nn.functional as F
-import lightning as L
 from torch import nn
 from torch.utils.data import DataLoader, random_split
 from torchmetrics.functional import accuracy

lightning_examples/reinforce-learning-DQN/dqn.py

@@ -4,12 +4,12 @@
 from typing import Iterator, List, Tuple
 
 import gym
+import lightning as L
 import numpy as np
 import pandas as pd
 import seaborn as sn
 import torch
 from IPython.display import display
-import lightning as L
 from lightning.pytorch.loggers import CSVLogger
 from torch import Tensor, nn
 from torch.optim import Adam, Optimizer