with all args for scheduler

deepspeech/exps/u2/model.py

@@ -315,18 +315,11 @@ class U2Trainer(Trainer):
         scheduler_conf = train_config.scheduler_conf
 
         scheduler_args = {
-            "learning_rate":
+            "learning_rate": optim_conf.lr,
-            optim_conf.lr,
+            "verbose": False,
-            "verbose":
+            "warmup_steps": scheduler_conf.warmup_steps,
-            False,
+            "gamma": scheduler_conf.lr_decay,
-            "warmup_steps":
+            "d_model": model_conf.encoder_conf.output_size,
-            scheduler_conf.warmup_steps
-            if "warmup_steps" in scheduler_conf else None,
-            "gamma":
-            scheduler_conf.lr_decay if "lr_decay" in scheduler_conf else None,
-            "d_model":
-            model_conf.encoder_conf.output_size
-            if scheduler_type == "noam" else None,
         }
         lr_scheduler = LRSchedulerFactory.from_args(scheduler_type,
                                                     scheduler_args)