`ultralytics 8.1.47` PNNX release 20240226 (#9954)

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

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = "8.1.46"
+__version__ = "8.1.47"
 
 from ultralytics.data.explorer.explorer import Explorer
 from ultralytics.models import RTDETR, SAM, YOLO, YOLOWorld

ultralytics/engine/exporter.py

@@ -529,16 +529,12 @@ class Exporter:
                 f"or in {ROOT}. See PNNX repo for full installation instructions."
             )
             system = "macos" if MACOS else "windows" if WINDOWS else "linux-aarch64" if ARM64 else "linux"
-
+            try:
-            # PNNX link fixed at 20240226 due to bug in 20240410
+                _, assets = get_github_assets(repo="pnnx/pnnx", retry=True)
-            # try:
+                url = [x for x in assets if f"{system}.zip" in x][0]
-            #     _, assets = get_github_assets(repo="pnnx/pnnx", retry=True)
+            except Exception as e:
-            #     url = [x for x in assets if f"{system}.zip" in x][0]
+                url = f"https://github.com/pnnx/pnnx/releases/download/20240410/pnnx-20240410-{system}.zip"
-            # except Exception as e:
+                LOGGER.warning(f"{prefix} WARNING ⚠️ PNNX GitHub assets not found: {e}, using default {url}")
-            #     url = f"https://github.com/pnnx/pnnx/releases/download/20240226/pnnx-20240226-{system}.zip"
-            #     LOGGER.warning(f"{prefix} WARNING ⚠️ PNNX GitHub assets not found: {e}, using default {url}")
-
-            url = f"https://github.com/pnnx/pnnx/releases/download/20240226/pnnx-20240226-{system}.zip"
             asset = attempt_download_asset(url, repo="pnnx/pnnx", release="latest")
             if check_is_path_safe(Path.cwd(), asset):  # avoid path traversal security vulnerability
                 unzip_dir = Path(asset).with_suffix("")

ultralytics/nn/autobackend.py

@@ -540,7 +540,8 @@ class AutoBackend(nn.Module):
             mat_in = self.pyncnn.Mat(im[0].cpu().numpy())
             with self.net.create_extractor() as ex:
                 ex.input(self.net.input_names()[0], mat_in)
-                y = [np.array(ex.extract(x)[1])[None] for x in self.net.output_names()]
+                # WARNING: 'output_names' sorted as a temporary fix for https://github.com/pnnx/pnnx/issues/130
+                y = [np.array(ex.extract(x)[1])[None] for x in sorted(self.net.output_names())]
 
         # NVIDIA Triton Inference Server
         elif self.triton: