fix metric bugs

ppcls/configs/Vehicle/ResNet50_ReID.yaml

 # global configs
-Trainer:
-  name: TrainerReID
 Global:
   checkpoints: null
   pretrained_model: null

ppcls/metric/metrics.py

@@ -39,8 +39,9 @@ class TopkAcc(nn.Layer):
 
 
 class mAP(nn.Layer):
-    def __init__(self):
+    def __init__(self, name="mAP"):
         super().__init__()
+        self.name = name
 
     def forward(self, similarities_matrix, query_img_id, gallery_img_id):
         metric_dict = dict()
@@ -48,13 +49,14 @@ class mAP(nn.Layer):
                                    gallery_img_id)
 
         mAP = np.mean(all_AP)
-        metric_dict["mAP"] = mAP
+        metric_dict[self.name] = mAP
         return metric_dict
 
 
 class mINP(nn.Layer):
-    def __init__(self):
+    def __init__(self, name="mINP"):
         super().__init__()
+        self.name = name
 
     def forward(self, similarities_matrix, query_img_id, gallery_img_id):
         metric_dict = dict()
@@ -62,7 +64,7 @@ class mINP(nn.Layer):
                                     gallery_img_id)
 
         mINP = np.mean(all_INP)
-        metric_dict["mINP"] = mINP
+        metric_dict[self.name] = mINP
         return metric_dict