[fbsync] clarifying docs for v2.ToPILImage() (#7864)

Summary: (Note: this ignores all push blocking failures!)

Reviewed By: matteobettini

Differential Revision: D48900405

fbshipit-source-id: 4195146ac99837d55e5e38cbc78a4ef70f209138

Author: NicolasHug

torchvision/transforms/v2/_type_conversion.py

@@ -44,23 +44,24 @@ def _transform(
 
 
 class ToPILImage(Transform):
-    """[BETA] Convert a tensor or an ndarray to PIL Image - this does not scale values.
+    """[BETA] Convert a tensor or an ndarray to PIL Image
 
     .. v2betastatus:: ToPILImage transform
 
     This transform does not support torchscript.
 
     Converts a torch.*Tensor of shape C x H x W or a numpy ndarray of shape
-    H x W x C to a PIL Image while preserving the value range.
+    H x W x C to a PIL Image while adjusting the value range depending on the ``mode``.
 
     Args:
         mode (`PIL.Image mode`_): color space and pixel depth of input data (optional).
             If ``mode`` is ``None`` (default) there are some assumptions made about the input data:
+
             - If the input has 4 channels, the ``mode`` is assumed to be ``RGBA``.
             - If the input has 3 channels, the ``mode`` is assumed to be ``RGB``.
             - If the input has 2 channels, the ``mode`` is assumed to be ``LA``.
             - If the input has 1 channel, the ``mode`` is determined by the data type (i.e ``int``, ``float``,
-            ``short``).
+              ``short``).
 
     .. _PIL.Image mode: https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-modes
     """