ultralytics 8.0.189 pin tensorflow<=2.13.0 to avoid tflite_support bug (#5140)

Co-authored-by: Shreyesh <76511222+shreyesh0610@users.noreply.github.com>
Co-authored-by: Soumik Rakshit <19soumik.rakshit96@gmail.com>
Co-authored-by: Ryan Romanchuk <rromanchuk@gmail.com>

ultralytics/utils/callbacks/wb.py

@@ -54,6 +54,7 @@ def on_train_end(trainer):
     if trainer.best.exists():
         art.add_file(trainer.best)
         wb.run.log_artifact(art, aliases=['best'])
+    wb.run.finish()  # required or run continues on dashboard
 
 
 callbacks = {

ultralytics/utils/torch_utils.py

@@ -135,7 +135,7 @@ def select_device(device='', batch=0, newline=False, verbose=True):
             p = torch.cuda.get_device_properties(i)
             s += f"{'' if i == 0 else space}CUDA:{d} ({p.name}, {p.total_memory / (1 << 20):.0f}MiB)\n"  # bytes to MB
         arg = 'cuda:0'
-    elif mps and getattr(torch, 'has_mps', False) and torch.backends.mps.is_available() and TORCH_2_0:
+    elif mps and TORCH_2_0 and torch.backends.mps.is_available():
         # Prefer MPS if available
         s += f'MPS ({get_cpu_info()})\n'
         arg = 'mps'