diff --git a/tools/eval_multi_platform.py b/tools/eval_multi_platform.py
index bd3e121b572155107f673ef95fb4409a90130f25..90f87f7e45aa42feaa3e08047a61903fb4b758cb 100644
--- a/tools/eval_multi_platform.py
+++ b/tools/eval_multi_platform.py
@@ -68,7 +68,7 @@ def main(args):
 
     compiled_valid_prog = program.compile(config, valid_prog)
     program.run(valid_dataloader, exe, compiled_valid_prog, valid_fetchs, -1,
-                'eval')
+                'eval', config)
 
 
 if __name__ == '__main__':
diff --git a/tools/train_multi_platform.py b/tools/train_multi_platform.py
index ba024e89d287e66bd6228b9219349ed1728c10c4..1583a98c5b795d18adfbaa250460b9319af80f25 100644
--- a/tools/train_multi_platform.py
+++ b/tools/train_multi_platform.py
@@ -119,7 +119,7 @@ def main(args):
     for epoch_id in range(config.epochs):
         # 1. train with train dataset
         program.run(train_dataloader, exe, compiled_train_prog, train_fetchs,
-                    epoch_id, 'train', vdl_writer)
+                    epoch_id, 'train', config, vdl_writer)
 
         # 2. validate with validate dataset
         if config.validate and epoch_id % config.valid_interval == 0:
@@ -128,11 +128,11 @@ def main(args):
                 with ema.apply(exe):
                     top1_acc = program.run(valid_dataloader, exe,
                                            compiled_valid_prog, valid_fetchs,
-                                           epoch_id, 'valid')
+                                           epoch_id, 'valid', config)
                 logger.info(logger.coloring("EMA validate over!"))
 
             top1_acc = program.run(valid_dataloader, exe, compiled_valid_prog,
-                                   valid_fetchs, epoch_id, 'valid')
+                                   valid_fetchs, epoch_id, 'valid', config)
             if top1_acc > best_top1_acc:
                 best_top1_acc = top1_acc
                 message = "The best top1 acc {:.5f}, in epoch: {:d}".format(