update

funasr/train/trainer.py

@@ -583,11 +583,14 @@ class Trainer:
             if rank == 0:
                 if hasattr(model, "num_updates") or (hasattr(model, "module") and hasattr(model.module, "num_updates")):
                     num_batch_updates = model.get_num_updates() if hasattr(model,"num_updates") else model.module.get_num_updates()
-                if (num_batch_updates%batch_interval == 0) and (options.oss_bucket is not None) and options.use_pai:
-                    buffer = BytesIO()
-                    torch.save(model.state_dict(), buffer)
-                    options.oss_bucket.put_object(os.path.join(output_dir, f"{num_batch_updates}batch.pth"), buffer.getvalue())
- 
+                if (num_batch_updates%batch_interval == 0) and (options.oss_bucket is not None):
+                    if options.use_pai:
+                        buffer = BytesIO()
+                        torch.save(model.state_dict(), buffer)
+                        options.oss_bucket.put_object(os.path.join(output_dir, f"{num_batch_updates}step.pb"), buffer.getvalue())
+                    else:
+                        torch.save(model.state_dict(), os.path.join(output_dir, f"{num_batch_updates}step.pb"))
+
             if distributed:
                 torch.distributed.all_reduce(iterator_stop, ReduceOp.SUM)
                 if iterator_stop > 0: