Merge branch dev/kws_multi_kw into master

Title: [to #42322933]fix: failed to update sc_config_file concurrently 
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10613434

modelscope/models/audio/kws/farfield/model.py

@@ -1,6 +1,7 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
 
 import os
+import tempfile
 from typing import Dict, Optional
 
 from modelscope.metainfo import Models
@@ -36,12 +37,15 @@ class FSMNSeleNetV2Decorator(TorchModel):
         else:
             sc_config_file = os.path.join(model_dir, self.SC_CONFIG)
             model_txt_file = os.path.join(model_dir, self.MODEL_TXT)
+            self.tmp_dir = tempfile.TemporaryDirectory()
+            new_config_file = os.path.join(self.tmp_dir.name, self.SC_CONFIG)
+
             self._sc = None
             if os.path.exists(model_txt_file):
                 conf_dict = dict(mode=56542, kws_model=model_txt_file)
-                update_conf(sc_config_file, sc_config_file, conf_dict)
+                update_conf(sc_config_file, new_config_file, conf_dict)
                 import py_sound_connect
-                self._sc = py_sound_connect.SoundConnect(sc_config_file)
+                self._sc = py_sound_connect.SoundConnect(new_config_file)
                 self.size_in = self._sc.bytesPerBlockIn()
                 self.size_out = self._sc.bytesPerBlockOut()
             else:
@@ -49,6 +53,9 @@ class FSMNSeleNetV2Decorator(TorchModel):
                     f'Invalid model directory! Failed to load model file: {model_txt_file}.'
                 )
 
+    def __del__(self):
+        self.tmp_dir.cleanup()
+
     def forward(self, input: Dict[str, Tensor]) -> Dict[str, Tensor]:
         return self.model.forward(input)
 

modelscope/trainers/audio/kws_farfield_trainer.py

@@ -69,11 +69,14 @@ class KWSFarfieldTrainer(BaseTrainer):
 
         super().__init__(cfg_file, arg_parse_fn)
 
-        self.model = self.build_model()
-        self.work_dir = work_dir
         # the number of model output dimension
         # should update config outside the trainer, if user need more wake word
+        num_syn = kwargs.get('num_syn', None)
+        if num_syn:
+            self.cfg.model.num_syn = num_syn
         self._num_classes = self.cfg.model.num_syn
+        self.model = self.build_model()
+        self.work_dir = work_dir
 
         if kwargs.get('launcher', None) is not None:
             init_dist(kwargs['launcher'])