Widen OOM_EXCEPTION to AcceleratorError form (#12835)

Pytorch only filters for OOMs in its own allocators however there are
paths that can OOM on allocators made outside the pytorch allocators.
These manifest as an AllocatorError as pytorch does not have universal
error translation to its OOM type on exception. Handle it. A log I have
for this also shows a double report of the error async, so call the
async discarder to cleanup and make these OOMs look like OOMs.

comfy_extras/nodes_upscale_model.py

@@ -86,7 +86,8 @@ class ImageUpscaleWithModel(io.ComfyNode):
                     pbar = comfy.utils.ProgressBar(steps)
                     s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
                     oom = False
-                except model_management.OOM_EXCEPTION as e:
+                except Exception as e:
+                    model_management.raise_non_oom(e)
                     tile //= 2
                     if tile < 128:
                         raise e