AutoShape() models as DetectMultiBackend() instances (#5845)

* Update AutoShape()

* autodownload ONNX

* Cleanup

* Finish updates

* Add Usage

* Update

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* fix device

* Update hubconf.py

* Update common.py

* smart param selection

* autodownload all formats

* autopad only pytorch models

* new_shape edits

* stride tensor fix

* Cleanup

utils/general.py

@@ -455,7 +455,9 @@ def download(url, dir='.', unzip=True, delete=True, curl=False, threads=1):
 
 
 def make_divisible(x, divisor):
-    # Returns x evenly divisible by divisor
+    # Returns nearest x divisible by divisor
+    if isinstance(divisor, torch.Tensor):
+        divisor = int(divisor.max())  # to int
     return math.ceil(x / divisor) * divisor