modify img_conv2 unit test

paddle/gserver/tests/config_file_a.conf

+#edit-mode: -*- python -*-
+# Copyright (c) 2016 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.
+
+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")
+
+outputs(conv)

paddle/gserver/tests/config_file_b.conf

+#edit-mode: -*- python -*-
+# Copyright (c) 2016 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.
+
+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")
+
+outputs(conv)

paddle/gserver/tests/test_NetworkCompare.cpp

@@ -258,15 +258,12 @@ TEST(Compare, img_conv) {
 
 // Test cudnn_conv and exconv give the same result
 TEST(Compare, img_conv2) {
-  std::string config_file_a = "./gserver/tests/img_conv_a.conf";
-  std::string config_file_b = "./gserver/tests/img_conv_c.conf";
+  std::string config_file_a = "./gserver/tests/config_file_a.conf";
+  std::string config_file_b = "./gserver/tests/config_file_b.conf";
   bool useGpu = FLAGS_use_gpu;
-  double eps = FLAGS_checkgrad_eps;
   FLAGS_use_gpu = true;
-  FLAGS_checkgrad_eps = 1e-3;
   compareNetwork(config_file_a, config_file_b);
   FLAGS_use_gpu = useGpu;
-  FLAGS_checkgrad_eps = eps;
 }
 #endif