fix: minimize() dont support parameter_list of type dict

there are diffs that step()+update() and minimize().
this will be fixed in https://github.com/PaddlePaddle/Paddle/pull/53773.

ppcls/engine/train/train.py

@@ -61,7 +61,8 @@ def train_epoch(engine, epoch_id, print_batch_step):
         if (iter_id + 1) % engine.update_freq == 0:
             for i in range(len(engine.optimizer)):
                 # optimizer.step() with auto amp
-                engine.scaler.minimize(engine.optimizer[i], scaled)
+                engine.scaler.step(engine.optimizer[i])
+                engine.scaler.update()
 
         if (iter_id + 1) % engine.update_freq == 0:
             # clear grad

ppcls/engine/train/train_fixmatch.py

@@ -75,7 +75,9 @@ def train_epoch_fixmatch(engine, epoch_id, print_batch_step):
         scaled.backward()
 
         for i in range(len(engine.optimizer)):
-            engine.scaler.minimize(engine.optimizer[i], scaled)
+            # optimizer.step() with auto amp
+            engine.scaler.step(engine.optimizer[i])
+            engine.scaler.update()
 
         # step lr(by step)
         for i in range(len(engine.lr_sch)):

ppcls/engine/train/train_metabin.py

@@ -201,7 +201,11 @@ def backward(engine, loss, optimizer):
     optimizer.clear_grad()
     scaled = engine.scaler.scale(loss)
     scaled.backward()
-    engine.scaler.minimize(optimizer, scaled)
+
+    # optimizer.step() with auto amp
+    engine.scaler.step(optimizer)
+    engine.scaler.update()
+
     for name, layer in engine.model.backbone.named_sublayers():
         if "gate" == name.split('.')[-1]:
             layer.clip_gate()