Fix hardcoded 255

torchvision/prototype/transforms/functional/_geometry.py

@@ -143,8 +143,9 @@ def resize_image_tensor(
         )
 
         if need_cast:
-            if interpolation == InterpolationMode.BICUBIC and dtype == torch.uint8:
-                image = image.clamp_(min=0, max=255)
+            # bicubic interpolation can overshoot
+            if interpolation == InterpolationMode.BICUBIC:
+                image = image.clamp_(min=0, max=_FT._max_value(dtype))
             image = image.round_().to(dtype=dtype)
 
     return image.reshape(shape[:-3] + (num_channels, new_height, new_width))

torchvision/transforms/functional_tensor.py

@@ -458,8 +458,8 @@ def resize(
 
     img = interpolate(img, size=size, mode=interpolation, align_corners=align_corners, antialias=antialias)
 
-    if interpolation == "bicubic" and out_dtype == torch.uint8:
-        img = img.clamp(min=0, max=255)
+    if interpolation == "bicubic" and out_dtype not in (torch.float32, torch.float64):
+        img = img.clamp(min=0, max=_max_value(out_dtype))
 
     img = _cast_squeeze_out(img, need_cast=need_cast, need_squeeze=need_squeeze, out_dtype=out_dtype)