diff --git a/PaddleCV/image_classification/train.py b/PaddleCV/image_classification/train.py
index e61333fd1ca8aba417c1b8eed8542ff646c89e2a..c4d5f26aa673ec656f98951b65e3871aa3e1af9e 100755
--- a/PaddleCV/image_classification/train.py
+++ b/PaddleCV/image_classification/train.py
@@ -102,13 +102,16 @@ def validate(args,
     test_batch_time_record = []
     test_batch_metrics_record = []
     test_batch_id = 0
-    compiled_program = best_strategy_compiled(
-        args,
-        test_prog,
-        test_fetch_list[0],
-        exe,
-        mode="val",
-        share_prog=train_prog)
+    if int(os.environ.get('PADDLE_TRAINERS_NUM', 1)) > 1:
+        compiled_program = test_prog
+    else:
+        compiled_program = best_strategy_compiled(
+            args,
+            test_prog,
+            test_fetch_list[0],
+            exe,
+            mode="val",
+            share_prog=train_prog)
     for batch in test_iter:
         t1 = time.time()
         test_batch_metrics = exe.run(program=compiled_program,
diff --git a/PaddleCV/image_classification/utils/dist_utils.py b/PaddleCV/image_classification/utils/dist_utils.py
index c98a64dd08ce2ae23725c44bd4bb1de4c0c8eda8..681c260e6e07493b0e8035dfcf7b046d8e2f3ba0 100755
--- a/PaddleCV/image_classification/utils/dist_utils.py
+++ b/PaddleCV/image_classification/utils/dist_utils.py
@@ -85,8 +85,8 @@ def prepare_for_multi_process(exe, build_strategy, train_prog):
     trainer_id = int(os.environ.get('PADDLE_TRAINER_ID', 0))
     num_trainers = int(os.environ.get('PADDLE_TRAINERS_NUM', 1))
     if num_trainers < 2: return
-    logger.info("PADDLE_TRAINERS_NUM", num_trainers)
-    logger.info("PADDLE_TRAINER_ID", trainer_id)
+    logger.info("PADDLE_TRAINERS_NUM %s" % num_trainers)
+    logger.info("PADDLE_TRAINER_ID %s" % trainer_id)
     build_strategy.num_trainers = num_trainers
     build_strategy.trainer_id = trainer_id
     # NOTE(zcd): use multi processes to train the model,