add checkpoint to save parameters

deepspeech/training/trainer.py

@@ -163,9 +163,9 @@ class Trainer():
             "epoch": self.epoch,
             "lr": self.optimizer.get_lr()
         })
-        self.checkpoint.add_checkpoint(self.checkpoint_dir, self.iteration
-                                       if tag is None else tag, self.model,
-                                       self.optimizer, infos)
+        self.checkpoint.save_parameters(self.checkpoint_dir, self.iteration
+                                        if tag is None else tag, self.model,
+                                        self.optimizer, infos)
 
     def resume_or_scratch(self):
         """Resume from latest checkpoint at checkpoints in the output

deepspeech/utils/checkpoint.py

@@ -39,13 +39,13 @@ class Checkpoint():
         self.latest_n = latest_n
         self._save_all = (kbest_n == -1)
 
-    def add_checkpoint(self,
-                       checkpoint_dir,
-                       tag_or_iteration: Union[int, Text],
-                       model: paddle.nn.Layer,
-                       optimizer: Optimizer=None,
-                       infos: dict=None,
-                       metric_type="val_loss"):
+    def save_parameters(self,
+                        checkpoint_dir,
+                        tag_or_iteration: Union[int, Text],
+                        model: paddle.nn.Layer,
+                        optimizer: Optimizer=None,
+                        infos: dict=None,
+                        metric_type="val_loss"):
         """Save checkpoint in best_n and latest_n.
 
         Args: