From eef91cd811d78d083949c54d4c6865893263e55b Mon Sep 17 00:00:00 2001
From: liaogang <liaogang@baidu.com>
Date: Mon, 8 May 2017 20:31:05 +0800
Subject: [PATCH] clang-format

---
 paddle/gserver/tests/img_conv_cudnn.py  | 20 ++++++++++++--------
 paddle/gserver/tests/img_conv_exconv.py | 20 ++++++++++++--------
 2 files changed, 24 insertions(+), 16 deletions(-)

diff --git a/paddle/gserver/tests/img_conv_cudnn.py b/paddle/gserver/tests/img_conv_cudnn.py
index 5e4668f4ff..3934607fa4 100644
--- a/paddle/gserver/tests/img_conv_cudnn.py
+++ b/paddle/gserver/tests/img_conv_cudnn.py
@@ -16,13 +16,17 @@
 from paddle.trainer_config_helpers import *
 
 settings(batch_size=10)
-data = data_layer(name ="input", size=8*16*16)
-conv = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
-                      num_channels=8,
-                      num_filters=16, stride=1,
-                      bias_attr=True,
-                      act=LinearActivation(),
-                      groups=2,
-                      layer_type="cudnn_conv")
+data = data_layer(name="input", size=8 * 16 * 16)
+conv = img_conv_layer(
+    input=data,
+    filter_size=1,
+    filter_size_y=1,
+    num_channels=8,
+    num_filters=16,
+    stride=1,
+    bias_attr=True,
+    act=LinearActivation(),
+    groups=2,
+    layer_type="cudnn_conv")
 
 outputs(conv)
diff --git a/paddle/gserver/tests/img_conv_exconv.py b/paddle/gserver/tests/img_conv_exconv.py
index 2de45466ce..ad5a8ba2bd 100644
--- a/paddle/gserver/tests/img_conv_exconv.py
+++ b/paddle/gserver/tests/img_conv_exconv.py
@@ -16,13 +16,17 @@
 from paddle.trainer_config_helpers import *
 
 settings(batch_size=10)
-data = data_layer(name ="input", size=8*16*16)
-conv = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
-                      num_channels=8,
-                      num_filters=16, stride=1,
-                      bias_attr=True,
-                      act=LinearActivation(),
-                      groups=2,
-                      layer_type="exconv")
+data = data_layer(name="input", size=8 * 16 * 16)
+conv = img_conv_layer(
+    input=data,
+    filter_size=1,
+    filter_size_y=1,
+    num_channels=8,
+    num_filters=16,
+    stride=1,
+    bias_attr=True,
+    act=LinearActivation(),
+    groups=2,
+    layer_type="exconv")
 
 outputs(conv)
-- 
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