Added warning about deprecated to_tensor/ToTensor

Additionally, fixed docs for resize/antialias option

Author: vfdev-5

torchvision/prototype/transforms/functional/_misc.py

@@ -3,7 +3,7 @@
 import PIL.Image
 import torch
 from torchvision.transforms import functional_tensor as _FT
-from torchvision.transforms.functional import to_tensor, to_pil_image
+from torchvision.transforms.functional import pil_to_tensor, to_pil_image
 
 
 normalize_image_tensor = _FT.normalize
@@ -39,4 +39,6 @@ def gaussian_blur_image_tensor(
 
 
 def gaussian_blur_image_pil(img: PIL.Image, kernel_size: List[int], sigma: Optional[List[float]] = None) -> PIL.Image:
-    return to_pil_image(gaussian_blur_image_tensor(to_tensor(img), kernel_size=kernel_size, sigma=sigma))
+    t_img = pil_to_tensor(img)
+    output = gaussian_blur_image_tensor(t_img, kernel_size=kernel_size, sigma=sigma)
+    return to_pil_image(output, mode=img.mode)

torchvision/transforms/functional.py

@@ -126,6 +126,9 @@ def to_tensor(pic):
 
     See :class:`~torchvision.transforms.ToTensor` for more details.
 
+    .. warning::
+        This method is deprecated, please use :meth:`~torchvision.transforms.functional.pil_to_tensor`.
+
     Args:
         pic (PIL Image or numpy.ndarray): Image to be converted to tensor.
 
@@ -403,11 +406,8 @@ def resize(
             mode).
         antialias (bool, optional): antialias flag. If ``img`` is PIL Image, the flag is ignored and anti-alias
             is always used. If ``img`` is Tensor, the flag is False by default and can be set to True for
-            ``InterpolationMode.BILINEAR`` only mode. This can help making the output for PIL images and tensors
-            closer.
-
-            .. warning::
-                There is no autodiff support for ``antialias=True`` option with input ``img`` as Tensor.
+            ``InterpolationMode.BILINEAR`` and ``InterpolationMode.BICUBIC`` modes.
+            This can help making the output for PIL images and tensors closer.
 
     Returns:
         PIL Image or Tensor: Resized image.

torchvision/transforms/transforms.py

@@ -114,6 +114,9 @@ class ToTensor:
 
     In the other cases, tensors are returned without scaling.
 
+    .. warning::
+        This method is deprecated, please use :meth:`~torchvision.transforms.functional.pil_to_tensor`.
+
     .. note::
         Because the input image is scaled to [0.0, 1.0], this transformation should not be used when
         transforming target image masks. See the `references`_ for implementing the transforms for image masks.