From afa6f12ba14d6f7abddbc6faaa93dbfcc9581033 Mon Sep 17 00:00:00 2001
From: zxcd <228587199@qq.com>
Date: Wed, 26 Feb 2025 11:16:14 +0800
Subject: [PATCH] paddlespeech/audiotools/ml/basemodel.py (#3994)

---
 paddlespeech/audiotools/ml/basemodel.py | 37 ++++++++++---------------
 1 file changed, 14 insertions(+), 23 deletions(-)

diff --git a/paddlespeech/audiotools/ml/basemodel.py b/paddlespeech/audiotools/ml/basemodel.py
index 97c31ff7a..2d5683266 100644
--- a/paddlespeech/audiotools/ml/basemodel.py
+++ b/paddlespeech/audiotools/ml/basemodel.py
@@ -110,7 +110,8 @@ class BaseModel(nn.Layer):
             state_dict = {"state_dict": self.state_dict(), "metadata": metadata}
             paddle.save(state_dict, str(path))
         else:
-            self._save_package(path, intern=intern, extern=extern, mock=mock)
+            raise NotImplementedError(
+                "Currently Paddle does not support packaging")
 
         return path
 
@@ -151,31 +152,21 @@ class BaseModel(nn.Layer):
         BaseModel
             A model that inherits from BaseModel.
         """
-        try:
-            model = cls._load_package(location, package_name=package_name)
-        except:
-            model_dict = paddle.load(location)
-            metadata = model_dict["metadata"]
-            metadata["kwargs"].update(kwargs)
-
-            sig = inspect.signature(cls)
-            class_keys = list(sig.parameters.keys())
-            for k in list(metadata["kwargs"].keys()):
-                if k not in class_keys:
-                    metadata["kwargs"].pop(k)
-
-            model = cls(*args, **metadata["kwargs"])
-            model.set_state_dict(model_dict["state_dict"])
-            model.metadata = metadata
+        model_dict = paddle.load(location)
+        metadata = model_dict["metadata"]
+        metadata["kwargs"].update(kwargs)
 
-        return model
+        sig = inspect.signature(cls)
+        class_keys = list(sig.parameters.keys())
+        for k in list(metadata["kwargs"].keys()):
+            if k not in class_keys:
+                metadata["kwargs"].pop(k)
 
-    def _save_package(self, path, intern=[], extern=[], mock=[], **kwargs):
-        raise NotImplementedError("Currently Paddle does not support packaging")
+        model = cls(*args, **metadata["kwargs"])
+        model.set_state_dict(model_dict["state_dict"])
+        model.metadata = metadata
 
-    @classmethod
-    def _load_package(cls, path, package_name=None):
-        raise NotImplementedError("Currently Paddle does not support packaging")
+        return model
 
     def save_to_folder(
             self,