rename upper to lowe

fleetrec/run.py

@@ -45,13 +45,13 @@ if __name__ == "__main__":
     if not os.path.exists(args.model) or not os.path.isfile(args.model):
         raise ValueError("argument model: {} error, must specify a existed yaml file".format(args.model))
 
-    if args.engine.upper == "SINGLE":
+    if args.engine.upper() == "SINGLE":
         print("use SingleTraining to run model: {}".format(args.model))
         single_envs = {}
         single_envs["train.trainer"] = "SingleTraining"
 
         single_engine(single_envs, args.model)
-    elif args.engine.upper == "LOCAL_CLUSTER":
+    elif args.engine.upper() == "LOCAL_CLUSTER":
         print("use 1X1 ClusterTraining at localhost to run model: {}".format(args.model))
 
         cluster_envs = {}
@@ -63,7 +63,7 @@ if __name__ == "__main__":
         cluster_envs["train.strategy.mode"] = "async"
 
         local_cluster_engine(cluster_envs, args.model)
-    elif args.engine.upper == "LOCAL_MPI":
+    elif args.engine.upper() == "LOCAL_MPI":
         print("use 1X1 MPI ClusterTraining at localhost to run model: {}".format(args.model))
 
         cluster_envs = {}
@@ -76,5 +76,5 @@ if __name__ == "__main__":
         local_mpi_engine(cluster_envs, args.model)
     else:
         if not os.path.exists(args.engine) or not os.path.isfile(args.engine):
-            raise ValueError("argument engine: {} error, must specify a existed yaml file".format(args.model))
+            raise ValueError("argument engine: {} error, must specify a existed yaml file".format(args.engine))
         yaml_engine(args.engine, args.model)