fix cl path problem

src/framework/cl/cl_engine.h

@@ -114,6 +114,9 @@ class CLEngine {
 
   cl_device_id DeviceID(int index = 0) { return devices_[index]; }
 
+  std::string GetCLPath() { return cl_path_; }
+  void setClPath(std::string cl_path) { cl_path_ = cl_path; }
+
  private:
   CLEngine() { initialized_ = false; }
 
@@ -129,6 +132,7 @@ class CLEngine {
 
   cl_int status_;
 
+  std::string cl_path_;
   std::unique_ptr<_cl_program, CLProgramDeleter> program_;
 
   //  bool SetClContext();

src/framework/cl/cl_scope.h

@@ -58,7 +58,8 @@ class CLScope {
     }
 
     auto program = CLEngine::Instance()->CreateProgramWith(
-        context_.get(), "./cl_kernel/" + file_name);
+        context_.get(),
+        CLEngine::Instance()->GetCLPath() + "/cl_kernel/" + file_name);
 
     DLOG << " --- begin build program -> " << file_name << " --- ";
     CLEngine::Instance()->BuildProgram(program.get());

src/io/api_paddle_mobile.cc

@@ -29,7 +29,9 @@ PaddleMobilePredictor<Dtype, P>::PaddleMobilePredictor(
 template <typename Dtype, Precision P>
 bool PaddleMobilePredictor<Dtype, P>::Init(const PaddleMobileConfig &config) {
   paddle_mobile_.reset(new PaddleMobile<Dtype, P>());
-
+#ifdef PADDLE_MOBILE_CL
+  paddle_mobile_->SetCLPath(config.cl_path);
+#endif
   if (config.memory_pack.from_memory) {
     DLOG << "load from memory!";
     paddle_mobile_->LoadCombinedMemory(config.memory_pack.model_size,

src/io/paddle_inference_api.h

@@ -132,6 +132,7 @@ struct PaddleMobileConfig : public PaddlePredictor::Config {
   int thread_num = 1;
   std::string prog_file;
   std::string param_file;
+  std::string cl_path;
   struct PaddleModelMemoryPack memory_pack;
 };
 

src/io/paddle_mobile.cpp

@@ -158,6 +158,13 @@ void PaddleMobile<Dtype, P>::Predict_To(int end) {
 }
 #endif
 
+#ifdef PADDLE_MOBILE_CL
+template <typename Dtype, Precision P>
+void PaddleMobile<Dtype, P>::SetCLPath(std::string path) {
+  framework::CLEngine::Instance()->setClPath(path);
+}
+#endif
+
 template class PaddleMobile<CPU, Precision::FP32>;
 template class PaddleMobile<FPGA, Precision::FP32>;
 template class PaddleMobile<GPU_MALI, Precision::FP32>;

src/io/paddle_mobile.h

@@ -26,6 +26,9 @@ limitations under the License. */
 #include "framework/load_ops.h"
 #include "framework/loader.h"
 #include "framework/tensor.h"
+#ifdef PADDLE_MOBILE_CL
+#include "framework/cl/cl_engine.h"
+#endif
 
 namespace paddle_mobile {
 
@@ -68,6 +71,11 @@ class PaddleMobile {
   void Predict_To(int end);
 #endif
 
+#ifdef PADDLE_MOBILE_CL
+ public:
+  void SetCLPath(std::string cl_path);
+#endif
+
  private:
   std::shared_ptr<framework::Loader<Dtype, P>> loader_;
   std::shared_ptr<framework::Executor<Dtype, P>> executor_;

test/net/test_mobilenet_GPU.cpp

@@ -22,7 +22,7 @@ int main() {
   auto time1 = paddle_mobile::time();
   //  auto isok = paddle_mobile.Load(std::string(g_mobilenet_detect) + "/model",
   //                     std::string(g_mobilenet_detect) + "/params", true);
-
+  paddle_mobile.SetCLPath(".");
   auto isok = paddle_mobile.Load(std::string(g_mobilenet), true);
   if (isok) {
     auto time2 = paddle_mobile::time();