Refactor Python code (#13448)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/nn/autobackend.py

@@ -320,10 +320,8 @@ class AutoBackend(nn.Module):
             with open(w, "rb") as f:
                 gd.ParseFromString(f.read())
             frozen_func = wrap_frozen_graph(gd, inputs="x:0", outputs=gd_outputs(gd))
-            try:  # attempt to retrieve metadata from SavedModel file potentially alongside GraphDef file
+            with contextlib.suppress(StopIteration):  # find metadata in SavedModel alongside GraphDef
                 metadata = next(Path(w).resolve().parent.rglob(f"{Path(w).stem}_saved_model*/metadata.yaml"))
-            except StopIteration:
-                pass  # no metadata file found
 
         # TFLite or TFLite Edge TPU
         elif tflite or edgetpu:  # https://www.tensorflow.org/lite/guide/python#install_tensorflow_lite_for_python

ultralytics/nn/modules/block.py

@@ -666,8 +666,7 @@ class CBLinear(nn.Module):
 
     def forward(self, x):
         """Forward pass through CBLinear layer."""
-        outs = self.conv(x).split(self.c2s, dim=1)
-        return outs
+        return self.conv(x).split(self.c2s, dim=1)
 
 
 class CBFuse(nn.Module):
@@ -682,5 +681,4 @@ class CBFuse(nn.Module):
         """Forward pass through CBFuse layer."""
         target_size = xs[-1].shape[2:]
         res = [F.interpolate(x[self.idx[i]], size=target_size, mode="nearest") for i, x in enumerate(xs[:-1])]
-        out = torch.sum(torch.stack(res + xs[-1:]), dim=0)
-        return out
+        return torch.sum(torch.stack(res + xs[-1:]), dim=0)