diff --git a/tools/__init__.py b/tools/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d0c32e26092f6ea25771279418582a24ea449ab2
--- /dev/null
+++ b/tools/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/tools/configure.py b/tools/configure.py
index 8b43b00bc2e694eb13fe0dd721b4c048e20f05d0..4a565aed9da87d38af7442771160f9c18ee21f73 100644
--- a/tools/configure.py
+++ b/tools/configure.py
@@ -151,9 +151,7 @@ def generate_config(**kwargs):
         print(dump_config(s, minimal))
 
 
-# FIXME this is pretty hackish, maybe implement a custom YAML printer?
-def analyze_config(**kwargs):
-    config = load_config(kwargs['file'])
+def print_total_cfg(config):
     modules = get_registered_modules()
     green = '___{}___'.format(color_tty.colors.index('green') + 31)
 
@@ -222,6 +220,12 @@ def analyze_config(**kwargs):
     print(buffer)
 
 
+# FIXME this is pretty hackish, maybe implement a custom YAML printer?
+def analyze_config(**kwargs):
+    config = load_config(kwargs['file'])
+    print_total_cfg(config)
+
+
 if __name__ == '__main__':
     argv = sys.argv[1:]
 
diff --git a/tools/eval.py b/tools/eval.py
index eea606ec32019a1150938fa8b934413a38f7c089..089beec22701facabd1dc6ea2b5373fc9069e0a0 100644
--- a/tools/eval.py
+++ b/tools/eval.py
@@ -33,6 +33,7 @@ set_paddle_flags(
 
 import paddle.fluid as fluid
 
+from tools.configure import print_total_cfg
 from ppdet.utils.eval_utils import parse_fetches, eval_run, eval_results, json_eval_results
 import ppdet.utils.checkpoint as checkpoint
 from ppdet.utils.cli import ArgsParser
@@ -61,6 +62,7 @@ def main():
 
     # check if set use_gpu=True in paddlepaddle cpu version
     check_gpu(cfg.use_gpu)
+    print_total_cfg(cfg)
 
     if 'eval_feed' not in cfg:
         eval_feed = create(main_arch + 'EvalFeed')
diff --git a/tools/infer.py b/tools/infer.py
index ac1fd215b9f540c8d78959864a041f43376e1be1..47684ed5de5fd916c06890b0acf8abecc9937fe1 100644
--- a/tools/infer.py
+++ b/tools/infer.py
@@ -22,11 +22,13 @@ import glob
 import numpy as np
 from PIL import Image
 
+
 def set_paddle_flags(**kwargs):
     for key, value in kwargs.items():
         if os.environ.get(key, None) is None:
             os.environ[key] = str(value)
 
+
 # NOTE(paddle-dev): All of these flags should be set before
 # `import paddle`. Otherwise, it would not take any effect.
 set_paddle_flags(
@@ -35,6 +37,7 @@ set_paddle_flags(
 
 from paddle import fluid
 
+from tools.configure import print_total_cfg
 from ppdet.core.workspace import load_config, merge_config, create
 from ppdet.modeling.model_input import create_feed
 from ppdet.data.data_feed import create_reader
@@ -147,6 +150,7 @@ def main():
 
     # check if set use_gpu=True in paddlepaddle cpu version
     check_gpu(cfg.use_gpu)
+    print_total_cfg(cfg)
 
     if 'test_feed' not in cfg:
         test_feed = create(main_arch + 'TestFeed')
diff --git a/tools/train.py b/tools/train.py
index 95bba5fd2ceaa9097c42711905fa30fad984cfa5..c6a40842cd158247b1c0ff50965a5f3411ab4335 100644
--- a/tools/train.py
+++ b/tools/train.py
@@ -21,6 +21,7 @@ import time
 import numpy as np
 import datetime
 from collections import deque
+from tools.configure import print_total_cfg
 
 
 def set_paddle_flags(**kwargs):
@@ -36,7 +37,6 @@ set_paddle_flags(
 )
 
 from paddle import fluid
-
 from ppdet.core.workspace import load_config, merge_config, create
 from ppdet.data.data_feed import create_reader
 
@@ -66,6 +66,7 @@ def main():
 
     # check if set use_gpu=True in paddlepaddle cpu version
     check_gpu(cfg.use_gpu)
+    print_total_cfg(cfg)
 
     if cfg.use_gpu:
         devices_num = fluid.core.get_cuda_device_count()