diff --git a/mace/python/tools/binary_codegen.py b/mace/python/tools/binary_codegen.py
index 21c6a84929e3527dd2b1e97feb4e9473d7a03ffa..3be2b086461dd70e7fa6066f086d91442601dec5 100644
--- a/mace/python/tools/binary_codegen.py
+++ b/mace/python/tools/binary_codegen.py
@@ -25,7 +25,7 @@ def generate_cpp_source():
     with open(binary_path, "rb") as f:
       binary_array = np.fromfile(f, dtype=np.uint8)
 
-    print "Generate binary", binary_path
+    print "Generate binary from", binary_path
     idx = 0
     size, = struct.unpack("Q", binary_array[idx:idx+8])
     idx += 8
diff --git a/mace/python/tools/opencl_codegen.py b/mace/python/tools/opencl_codegen.py
index 18829635bce120a5dc9d912d4f66f76ef8e08239..96f4c6a6d11b27c60f01b83e35ecd47bca863e05 100644
--- a/mace/python/tools/opencl_codegen.py
+++ b/mace/python/tools/opencl_codegen.py
@@ -19,11 +19,10 @@ def generate_cpp_source():
   binary_dirs = FLAGS.cl_binary_dirs.strip().split(",")
   for binary_dir in binary_dirs:
     binary_path = os.path.join(binary_dir, FLAGS.built_kernel_file_name)
-    print 'Before generate opencl code:', binary_path
     if not os.path.exists(binary_path):
       continue
 
-    print 'generate opencl code:', binary_path
+    print 'generate opencl code from', binary_path
     with open(binary_path, "rb") as f:
       binary_array = np.fromfile(f, dtype=np.uint8)
 
diff --git a/tools/mace_tools.py b/tools/mace_tools.py
index d739bc41f873646adb3f8cb7a572134a763f9cb1..002e430e744d3bac46100643bee30f1f3c7e2ff9 100644
--- a/tools/mace_tools.py
+++ b/tools/mace_tools.py
@@ -156,7 +156,7 @@ def tuning_run(model_name,
   stdout_buff = []
   process_output = sh_commands.make_output_processor(stdout_buff)
   p = sh.bash("tools/tuning_run.sh", target_soc, model_output_dir,
-              running_round, int(tuning), int(production_mode),
+              running_round, int(tuning),
               restart_round, option_args, _out=process_output,
               _bg=True, _err_to_out=True)
   p.wait()
@@ -188,7 +188,7 @@ def benchmark_model(target_soc, model_output_dir, option_args=''):
 def run_model(model_name, target_runtime, target_abi, target_soc,
               model_output_dir, running_round, restart_round, option_args):
   tuning_run(model_name, target_runtime, target_abi, target_soc,
-             model_output_dir, running_round, False, False,
+             model_output_dir, running_round, False,
              restart_round, option_args)