Fix lint CI (#7554)

pytorch · May 3, 2023 · 5a9e210 · 5a9e210
1 parent 2b63500
commit 5a9e210
Show file tree

Hide file tree

Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/torchvision/transforms/functional.py b/torchvision/transforms/functional.py
@@ -424,10 +424,10 @@ def resize(
             The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
         max_size (int, optional): The maximum allowed for the longer edge of
             the resized image. If the longer edge of the image is greater
-            than ``max_size`` after being resized according to ``size``, 
+            than ``max_size`` after being resized according to ``size``,
             ``size`` will be overruled so that the longer edge is equal to
             ``max_size``.
-            As a result, the smaller edge may be shorter than ``size``. This 
+            As a result, the smaller edge may be shorter than ``size``. This
             is only supported if ``size`` is an int (or a sequence of length
             1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.

diff --git a/torchvision/transforms/transforms.py b/torchvision/transforms/transforms.py
@@ -308,10 +308,10 @@ class Resize(torch.nn.Module):
             The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
         max_size (int, optional): The maximum allowed for the longer edge of
             the resized image. If the longer edge of the image is greater
-            than ``max_size`` after being resized according to ``size``, 
+            than ``max_size`` after being resized according to ``size``,
             ``size`` will be overruled so that the longer edge is equal to
             ``max_size``.
-            As a result, the smaller edge may be shorter than ``size``. This 
+            As a result, the smaller edge may be shorter than ``size``. This
             is only supported if ``size`` is an int (or a sequence of length
             1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.

diff --git a/torchvision/transforms/v2/_geometry.py b/torchvision/transforms/v2/_geometry.py
@@ -98,10 +98,10 @@ class Resize(Transform):
             The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
         max_size (int, optional): The maximum allowed for the longer edge of
             the resized image. If the longer edge of the image is greater
-            than ``max_size`` after being resized according to ``size``, 
+            than ``max_size`` after being resized according to ``size``,
             ``size`` will be overruled so that the longer edge is equal to
             ``max_size``.
-            As a result, the smaller edge may be shorter than ``size``. This 
+            As a result, the smaller edge may be shorter than ``size``. This
             is only supported if ``size`` is an int (or a sequence of length
             1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.