diff --git a/paddle/operators/conv_op.cc b/paddle/operators/conv_op.cc
index 9ae3e872812adaf00d6ead3f9fe32ecd9bef006e..63e4018555012ca5082ebbeec80c1fb5f4ebc97d 100644
--- a/paddle/operators/conv_op.cc
+++ b/paddle/operators/conv_op.cc
@@ -70,9 +70,7 @@ void ConvOp::InferShape(framework::InferShapeContext* ctx) const {
 framework::OpKernelType ConvOp::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
-  if (paddle::platform::is_cpu_place(ctx.GetPlace())) {
-    use_cudnn = false;
-  }
+  use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
diff --git a/paddle/operators/conv_transpose_op.cc b/paddle/operators/conv_transpose_op.cc
index 46f79b1701f0f4f1fad83bff0abc422416099373..4145638c74ecae11cd30d1cf57a6d76c0dc5992e 100644
--- a/paddle/operators/conv_transpose_op.cc
+++ b/paddle/operators/conv_transpose_op.cc
@@ -61,9 +61,7 @@ void ConvTransposeOp::InferShape(framework::InferShapeContext* ctx) const {
 framework::OpKernelType ConvTransposeOp::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
-  if (paddle::platform::is_cpu_place(ctx.GetPlace())) {
-    use_cudnn = false;
-  }
+  use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
diff --git a/paddle/operators/pool_op.cc b/paddle/operators/pool_op.cc
index 648a1dfb56ac4f85486cdc68e62dbbaed1664297..ebe7d9a0a581f187dcb7e37d2a2da1f26c8d72bb 100644
--- a/paddle/operators/pool_op.cc
+++ b/paddle/operators/pool_op.cc
@@ -64,9 +64,7 @@ void PoolOp::InferShape(framework::InferShapeContext *ctx) const {
 framework::OpKernelType PoolOp::GetExpectedKernelType(
     const framework::ExecutionContext &ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
-  if (paddle::platform::is_cpu_place(ctx.GetPlace())) {
-    use_cudnn = false;
-  }
+  use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
diff --git a/python/paddle/v2/fluid/nets.py b/python/paddle/v2/fluid/nets.py
index 327d2ff2da191cad3983381ad67cb5e82c89b0bb..440467e0abc9b74c2a80f68b44d9abd1a9a58991 100644
--- a/python/paddle/v2/fluid/nets.py
+++ b/python/paddle/v2/fluid/nets.py
@@ -41,10 +41,9 @@ def img_conv_group(input,
                    param_attr=None,
                    conv_with_batchnorm=False,
                    conv_batchnorm_drop_rate=None,
-                   conv_use_cudnn=True,
                    pool_stride=1,
                    pool_type=None,
-                   pool_use_cudnn=True):
+                   use_cudnn=True):
     """
     Image Convolution Group, Used for vgg net.
     """
@@ -76,7 +75,7 @@ def img_conv_group(input,
             padding=conv_padding[i],
             param_attr=param_attr[i],
             act=local_conv_act,
-            use_cudnn=conv_use_cudnn)
+            use_cudnn=use_cudnn)
 
         if conv_with_batchnorm[i]:
             tmp = layers.batch_norm(input=tmp, act=conv_act)
@@ -89,7 +88,7 @@ def img_conv_group(input,
         pool_size=pool_size,
         pool_type=pool_type,
         pool_stride=pool_stride,
-        use_cudnn=pool_use_cudnn)
+        use_cudnn=use_cudnn)
     return pool_out