diff --git a/pdseg/eval.py b/pdseg/eval.py
index c34a8b5e82aa7dc5a67d5b7386ca833917e334d8..815ebf56f09140a5911bdeb1aa4acd3dbf7950d1 100644
--- a/pdseg/eval.py
+++ b/pdseg/eval.py
@@ -102,7 +102,7 @@ def evaluate(cfg, ckpt_dir=None, use_gpu=False, use_mpio=False, **kwargs):
     places = fluid.cuda_places() if use_gpu else fluid.cpu_places()
     place = places[0]
     dev_count = len(places)
-    print("Device count = {}".format(dev_count))
+    print("#Device count: {}".format(dev_count))
 
     exe = fluid.Executor(place)
     exe.run(startup_prog)
diff --git a/pdseg/train.py b/pdseg/train.py
index 05db0de833d76e43643a46a4b6da328b29f05f82..8738e43ccd95d631efa93e06111c8292ae6d6303 100644
--- a/pdseg/train.py
+++ b/pdseg/train.py
@@ -216,7 +216,7 @@ def train(cfg):
     place = places[0]
     # Get number of GPU
     dev_count = len(places)
-    print("#GPU-Devices: {}".format(dev_count))
+    print("#Device count: {}".format(dev_count))
 
     # Make sure BATCH_SIZE can divided by GPU cards
     assert cfg.BATCH_SIZE % dev_count == 0, (