update

src/io/executor.cpp

@@ -16,7 +16,6 @@ limitations under the License. */
 #include <operators/math/gemm.h>
 #include <algorithm>
 #include <vector>
-#include <framework/cl/cl_image.h>
 #include "common/enforce.h"
 #include "common/log.h"
 #include "framework/framework.pb-c.h"
@@ -27,12 +26,17 @@ limitations under the License. */
 #include "framework/program/var_desc.h"
 #include "framework/scope.h"
 #include "framework/tensor.h"
+
 #ifdef PADDLE_EXECUTOR_MULTITHREAD
 #include <queue>
 #include <utility>
 #include "common/threadpool.h"
 #endif
 
+#ifdef PADDLE_MOBILE_CL
+#include "framework/cl/cl_image.h"
+#endif
+
 namespace paddle_mobile {
 using framework::Variable;
 

src/operators/kernel/cl/conv_kernel.cpp

@@ -28,6 +28,7 @@ bool ConvKernel<GPU_CL, float>::Init(ConvParam<GPU_CL> *param) {
 
 template <>
 void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
+
   auto kernel = this->cl_helper_.KernelAt(0);
   size_t global_work_size[3] = {1, 2, 3};
   clEnqueueNDRangeKernel(this->cl_helper_.CLCommandQueue(), kernel, 3, NULL, global_work_size, NULL, 0, NULL, NULL);

src/operators/op_param.h

@@ -75,7 +75,7 @@ struct DtypeTensorTrait<GPU_MALI> {
   typedef framework::Tensor rtype;
 };
 
-
+#ifdef PADDLE_MOBILE_CL
 template <>
 struct DtypeTensorTrait<GPU_CL> {
   // This is the type we obtained in variable.
@@ -84,6 +84,7 @@ struct DtypeTensorTrait<GPU_CL> {
   // or the same type.
   typedef framework::CLImage rtype;
 };
+#endif
 
 class OpParam {
  protected: