Fix Resize() documentation (#7536)

Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>

torchvision/transforms/functional.py

@@ -423,13 +423,13 @@ def resize(
             supported.
             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``, then
-            the image is resized again so that the longer edge is equal to
-            ``max_size``. As a result, ``size`` might be overruled, i.e. 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).
+            the resized image. If the longer edge of the image is greater
+            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 
+            is only supported if ``size`` is an int (or a sequence of length
+            1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.
             It only affects **tensors** with bilinear or bicubic modes and it is
             ignored otherwise: on PIL images, antialiasing is always applied on

torchvision/transforms/transforms.py

@@ -307,13 +307,13 @@ class Resize(torch.nn.Module):
             ``InterpolationMode.BILINEAR`` and ``InterpolationMode.BICUBIC`` are supported.
             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``, then
-            the image is resized again so that the longer edge is equal to
-            ``max_size``. As a result, ``size`` might be overruled, i.e. 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).
+            the resized image. If the longer edge of the image is greater
+            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 
+            is only supported if ``size`` is an int (or a sequence of length
+            1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.
             It only affects **tensors** with bilinear or bicubic modes and it is
             ignored otherwise: on PIL images, antialiasing is always applied on

torchvision/transforms/v2/_geometry.py

@@ -97,13 +97,13 @@ class Resize(Transform):
             ``InterpolationMode.BILINEAR`` and ``InterpolationMode.BICUBIC`` are supported.
             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``, then
-            the image is resized again so that the longer edge is equal to
-            ``max_size``. As a result, ``size`` might be overruled, i.e. 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).
+            the resized image. If the longer edge of the image is greater
+            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 
+            is only supported if ``size`` is an int (or a sequence of length
+            1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.
             It only affects **tensors** with bilinear or bicubic modes and it is
             ignored otherwise: on PIL images, antialiasing is always applied on