Merge branch 'develop' of https://github.com/PaddlePaddle/paddle-mobile into develop

src/fpga/common/fpga_common.cpp

@@ -197,5 +197,17 @@ uint64_t vaddr_to_paddr(void *address) {
   return 0;
 #endif
 }
+
+uint32_t paddle_mobile_version() {
+  uint32_t v_master = 34;
+  uint32_t v_slave = 34;
+
+  uint32_t first = 1, second = 2, fourth_master = 1, fourth_slave = 2;
+  uint32_t master = first << 24 | second << 16 | v_master << 8 | fourth_master;
+  uint32_t slave = first << 24 | second << 16 | v_slave << 8 | fourth_slave;
+
+  return slave;
+}
+
 }  // namespace fpga
 }  // namespace paddle_mobile

src/fpga/common/fpga_common.h

@@ -30,6 +30,7 @@ limitations under the License. */
 
 namespace paddle_mobile {
 namespace fpga {
+
 enum DataType {
   DATA_TYPE_INT8 = 2,
   DATA_TYPE_FP32 = 1,
@@ -275,5 +276,8 @@ uint64_t vaddr_to_paddr(void* address);
 void expand_conv_arg(ConvArgs* arg);
 void expand_EW_arg(EWAddArgs* arg);
 inline int32_t convertmantissa(int32_t i);
+
+uint32_t paddle_mobile_version();
+
 }  // namespace fpga
 }  // namespace paddle_mobile

src/io/paddle_inference_api.h

@@ -30,10 +30,12 @@ limitations under the License. */
 namespace paddle_mobile {
 
 #ifdef PADDLE_MOBILE_FPGA
+
 namespace fpga {
 int open_device();
 void* fpga_malloc(size_t size);
 void fpga_free(void* ptr);
+uint32_t paddle_mobile_version();
 }  // namespace fpga
 #endif
 

test/fpga/test_marker_api.cpp

@@ -139,6 +139,9 @@ PaddleMobileConfig GetConfig1() {
 
 int main() {
   open_device();
+  timeval start11, end11;
+  long dif_sec, dif_usec;  // NOLINT
+
   PaddleMobileConfig config = GetConfig();
   auto predictor =
       CreatePaddlePredictor<PaddleMobileConfig,
@@ -172,8 +175,6 @@ int main() {
 
   std::cout << "Finishing feeding data " << std::endl;
 
-  timeval start11, end11;
-  long dif_sec, dif_usec;  // NOLINT
   gettimeofday(&start11, NULL);
   predictor->Predict_From_To(0, -1);
   gettimeofday(&end11, NULL);
@@ -189,8 +190,9 @@ int main() {
   std::cout << "Output number is " << v.size() << std::endl;
   for (int fetchNum = 0; fetchNum < v.size(); fetchNum++) {
     std::string dumpName = "marker_api_fetch_" + std::to_string(fetchNum);
-    dump_stride(dumpName, v[fetchNum]);
+    // dump_stride(dumpName, v[fetchNum]);
   }
+  fpga_free(img);
 
   PaddleMobileConfig config1 = GetConfig1();
   auto predictor1 =
@@ -233,6 +235,7 @@ int main() {
       std::string dumpName = "marker2_api_fetch_" + std::to_string(fetchNum);
       dump_stride(dumpName, v1[fetchNum]);
     }
+    fpga_free(img1);
   }
   return 0;
 }

test/fpga/test_rfcn_api.cpp

@@ -16,6 +16,7 @@ limitations under the License. */
 #define PADDLE_MOBILE_FPGA
 #endif
 #include <fstream>
+#include <iomanip>
 #include <iostream>
 #include "../../src/io/paddle_inference_api.h"
 
@@ -69,7 +70,7 @@ PaddleMobileConfig GetConfig1() {
 
 int main() {
   open_device();
-
+#if 0
   PaddleMobileConfig config1 = GetConfig1();
   auto predictor1 =
       CreatePaddlePredictor<PaddleMobileConfig,
@@ -98,7 +99,8 @@ int main() {
   predictor1->FetchPaddleTensors(&v1);  // Old data in v will be cleared
   std::cout << "Output number is " << v1.size() << std::endl;
   std::cout << "out[0] length " << v1[0].data.length() << std::endl;
-
+  fpga_free(img1);
+#endif
   ////////////////////////////
 
   PaddleMobileConfig config = GetConfig();
@@ -160,6 +162,11 @@ int main() {
     }
   }
   std::cout << "Finish getting vector values" << std::endl;
+  fpga_free(img);
+
+  auto version = fpga::paddle_mobile_version();
+
+  std::cout << "0X0" << std::hex << version << std::endl;
 
   return 0;
 }