Fix reshape_classifier_output function to correctly reshape the final output layer (#13052)

* Fix reshape_classifier_output function to correctly reshape the final output layer

* Update torch_utils.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

utils/torch_utils.py

@@ -79,11 +79,11 @@ def reshape_classifier_output(model, n=1000):
     elif isinstance(m, nn.Sequential):
         types = [type(x) for x in m]
         if nn.Linear in types:
-            i = types.index(nn.Linear)  # nn.Linear index
+            i = len(types) - 1 - types[::-1].index(nn.Linear)  # last nn.Linear index
             if m[i].out_features != n:
                 m[i] = nn.Linear(m[i].in_features, n)
         elif nn.Conv2d in types:
-            i = types.index(nn.Conv2d)  # nn.Conv2d index
+            i = len(types) - 1 - types[::-1].index(nn.Conv2d)  # last nn.Conv2d index
             if m[i].out_channels != n:
                 m[i] = nn.Conv2d(m[i].in_channels, n, m[i].kernel_size, m[i].stride, bias=m[i].bias is not None)