fix post_init (#2855)

swift/llm/argument/export_args.py

@@ -82,7 +82,6 @@ def _init_output_dir(self):
         assert not os.path.exists(self.output_dir), f'args.output_dir: {self.output_dir} already exists.'
 
     def __post_init__(self):
-        MergeArguments.__post_init__(self)
         BaseArguments.__post_init__(self)
         self._init_output_dir()
         if self.quant_bits:

swift/llm/argument/infer_args.py

@@ -157,7 +157,6 @@ def _init_pt_ddp(self):
 
     def __post_init__(self) -> None:
         BaseArguments.__post_init__(self)
-        MergeArguments.__post_init__(self)
         VllmArguments.__post_init__(self)
         self._init_result_path('infer_result')
         self._init_eval_human()

swift/llm/argument/train_args.py

@@ -136,12 +136,11 @@ def __post_init__(self) -> None:
         TunerArguments.__post_init__(self)
         TorchAccArguments.__post_init__(self)
 
-        if self.lorap_lr_ratio:
-            self.optimizer = 'lorap'
-        elif self.use_galore:
-            self.optimizer = 'galore'
-        elif self.optimizer is None:
-            self.optimizer = 'default'
+        if self.optimizer is None:
+            if self.lorap_lr_ratio:
+                self.optimizer = 'lorap'
+            elif self.use_galore:
+                self.optimizer = 'galore'
 
         if len(self.dataset) == 0:
             raise ValueError(f'self.dataset: {self.dataset}, Please input the training dataset.')

swift/plugin/optimizer.py

@@ -53,13 +53,8 @@ def create_lorap_optimizers(args, model, dataset):
     return optimizer_cls(optimizer_grouped_parameters, **optimizer_kwargs), None
 
 
-def default_create_optimizers(args, model, dataset):
-    return None, None
-
-
 # Add your own optimizers here, use --optimizer xxx to train
 optimizers_map = {
     'galore': create_galore_optimizers,
     'lorap': create_lorap_optimizers,
-    'default': default_create_optimizers
 }