fix ce

fluid/object_detection/_ce.py

@@ -7,12 +7,12 @@ from kpi import CostKpi, DurationKpi, AccKpi
 
 #### NOTE kpi.py should shared in models in some way!!!!
 
-train_cost_kpi = CostKpi('train_cost', 0.2, 0, actived=True)
+train_cost_kpi = CostKpi('train_cost', 0.02, 0, actived=True)
 test_acc_kpi = AccKpi('test_acc', 0.01, 0, actived=True)
-train_speed_kpi = AccKpi('train_speed', 1, 0, actived=True)
-train_cost_card4_kpi = CostKpi('train_cost_card4', 0.2, 0, actived=True)
+train_speed_kpi = AccKpi('train_speed', 0.1, 0, actived=True)
+train_cost_card4_kpi = CostKpi('train_cost_card4', 0.02, 0, actived=True)
 test_acc_card4_kpi = AccKpi('test_acc_card4', 0.01, 0, actived=True)
-train_speed_card4_kpi = AccKpi('train_speed_card4', 1, 0, actived=True)
+train_speed_card4_kpi = AccKpi('train_speed_card4', 0.1, 0, actived=True)
 
 tracking_kpis = [
     train_cost_kpi,

fluid/object_detection/train.py

@@ -233,14 +233,14 @@ def train(args,
             if devices_num == 1:
                 print("kpis	train_cost	%s" % train_avg_loss)
                 print("kpis	test_acc	%s" % mean_map)
-                print("kpis	train_speed	%s" % (total_time / epocs))
+                print("kpis	train_speed	%s" % (epocs / total_time))
             else:
                 print("kpis	train_cost_card%s	%s" %
                        (devices_num, train_avg_loss))
                 print("kpis	test_acc_card%s	%s" %
                        (devices_num, mean_map))
                 print("kpis	train_speed_card%s	%f" %
-                       (devices_num, total_time / test_epocs))
+                       (devices_num, test_epocs / total_time))
 
         if pass_id % 10 == 0 or pass_id == num_passes - 1:
             save_model(str(pass_id), train_prog)