ultralytics 8.0.117 NAS export, classify and tasks banner URL fixes (#3145)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/engine/exporter.py

@@ -172,7 +172,8 @@ class Exporter:
 
         # Input
         im = torch.zeros(self.args.batch, 3, *self.imgsz).to(self.device)
-        file = Path(getattr(model, 'pt_path', None) or getattr(model, 'yaml_file', None) or model.yaml['yaml_file'])
+        file = Path(
+            getattr(model, 'pt_path', None) or getattr(model, 'yaml_file', None) or model.yaml.get('yaml_file', ''))
         if file.suffix == '.yaml':
             file = Path(file.name)
 
@@ -207,7 +208,8 @@ class Exporter:
         self.im = im
         self.model = model
         self.file = file
-        self.output_shape = tuple(y.shape) if isinstance(y, torch.Tensor) else tuple(tuple(x.shape) for x in y)
+        self.output_shape = tuple(y.shape) if isinstance(y, torch.Tensor) else \
+            tuple(tuple(x.shape if isinstance(x, torch.Tensor) else []) for x in y)
         self.pretty_name = Path(self.model.yaml.get('yaml_file', self.file)).stem.replace('yolo', 'YOLO')
         trained_on = f'trained on {Path(self.args.data).name}' if self.args.data else '(untrained)'
         description = f'Ultralytics {self.pretty_name} model {trained_on}'

ultralytics/yolo/nas/model.py

@@ -1,6 +1,12 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 """
-# NAS model interface
+YOLO-NAS model interface.
+
+Usage - Predict:
+    from ultralytics import NAS
+
+    model = NAS('yolo_nas_s')
+    results = model.predict('ultralytics/assets/bus.jpg')
 """
 
 from pathlib import Path
@@ -33,11 +39,13 @@ class NAS:
         self.model.args = DEFAULT_CFG_DICT  # attach args to model
 
         # Standardize model
-        self.model.fuse = lambda verbose: self.model
+        self.model.fuse = lambda verbose=True: self.model
         self.model.stride = torch.tensor([32])
         self.model.names = dict(enumerate(self.model._class_names))
         self.model.is_fused = lambda: False  # for info()
         self.model.yaml = {}  # for info()
+        self.model.pt_path = model  # for export()
+        self.model.task = 'detect'  # for export()
         self.info()
 
     @smart_inference_mode()