Oops

Author: NicolasHug

gallery/v2_transforms/plot_custom_datapoints.py

@@ -11,12 +11,6 @@
 
 # %%
 import torch
-import torchvision
-
-# We are using BETA APIs, so we deactivate the associated warning, thereby acknowledging that
-# some APIs may slightly change in the future
-torchvision.disable_beta_transforms_warning()
-
 from torchvision import datapoints
 from torchvision.transforms import v2
 

gallery/v2_transforms/plot_custom_transforms.py

@@ -9,12 +9,6 @@
 
 # %%
 import torch
-import torchvision
-
-# We are using BETA APIs, so we deactivate the associated warning, thereby acknowledging that
-# some APIs may slightly change in the future
-torchvision.disable_beta_transforms_warning()
-
 from torchvision import datapoints
 from torchvision.transforms import v2
 

gallery/v2_transforms/plot_cutmix_mixup.py

@@ -17,13 +17,7 @@
 
 # %%
 import torch
-import torchvision
 from torchvision.datasets import FakeData
-
-# We are using BETA APIs, so we deactivate the associated warning, thereby acknowledging that
-# some APIs may slightly change in the future
-torchvision.disable_beta_transforms_warning()
-
 from torchvision.transforms import v2
 
 

gallery/v2_transforms/plot_datapoints.py

@@ -24,12 +24,6 @@
 import PIL.Image
 
 import torch
-import torchvision
-
-# We are using BETA APIs, so we deactivate the associated warning, thereby acknowledging that
-# some APIs may slightly change in the future
-torchvision.disable_beta_transforms_warning()
-
 from torchvision import datapoints
 from torchvision.transforms.v2 import functional as F
 

gallery/v2_transforms/plot_transforms_v2.py

@@ -11,7 +11,6 @@
 import pathlib
 
 import torch
-import torchvision
 
 
 def load_data():
@@ -42,9 +41,6 @@ def load_data():
 # detection or instance and semantic segmentation. Still, the interface is the same, making
 # :mod:`torchvision.transforms.v2` a drop-in replacement for the existing :mod:`torchvision.transforms` API, aka v1.
 
-# We are using BETA APIs, so we deactivate the associated warning, thereby acknowledging that
-# some APIs may slightly change in the future
-torchvision.disable_beta_transforms_warning()
 import torchvision.transforms.v2 as transforms
 
 transform = transforms.Compose(

gallery/v2_transforms/plot_transforms_v2_e2e.py

@@ -16,7 +16,8 @@
 import torch
 import torch.utils.data
 
-import torchvision
+from torchvision import models, datasets
+import torchvision.transforms.v2 as transforms
 
 
 def show(sample):
@@ -39,19 +40,10 @@ def show(sample):
     fig.show()
 
 
-# We are using BETA APIs, so we deactivate the associated warning, thereby acknowledging that
-# some APIs may slightly change in the future
-torchvision.disable_beta_transforms_warning()
-
-from torchvision import models, datasets
-import torchvision.transforms.v2 as transforms
-
-
 # %%
 # We start off by loading the :class:`~torchvision.datasets.CocoDetection` dataset to have a look at what it currently
 # returns, and we'll see how to convert it to a format that is compatible with our new transforms.
 
-
 def load_example_coco_detection_dataset(**kwargs):
     # This loads fake data for illustration purposes of this example. In practice, you'll have
     # to replace this with the proper data