Add support for Transforms.Scale([w, h]) with specific width and height

README.rst

@@ -309,7 +309,7 @@ Transforms on PIL.Image
 
 Rescales the input PIL.Image to the given 'size'. 
 
-If 'size' is a 2-element tuple, it will be the exactly size to scale.
+If 'size' is a 2-element tuple or list, it will be the exactly size to scale.
 
 If 'size' is a number, it will indicate the size of the smaller edge. 
 For example, if height > width, then image will be rescaled to (size \*

torchvision/transforms.py

@@ -115,7 +115,7 @@ def __call__(self, tensor):
 
 class Scale(object):
     """Rescales the input PIL.Image to the given 'size'.
-    If 'size' is a 2-element tuple, it will be the exactly size to scale.
+    If 'size' is a 2-element tuple or list, it will be the exactly size to scale.
     If 'size' is a number, it will indicate the size of the smaller edge.
     For example, if height > width, then image will be
     rescaled to (size * height / width, size)
@@ -124,7 +124,7 @@ class Scale(object):
     """
 
     def __init__(self, size, interpolation=Image.BILINEAR):
-        assert isinstance(size, int) or (isinstance(size, tuple) and len(size) == 2)
+        assert isinstance(size, int) or ((isinstance(size, tuple) or isinstance(size, list)) and len(size) == 2)
         self.size = size
         self.interpolation = interpolation