fix crash

src/operators/fusion_conv_add.h

@@ -66,11 +66,11 @@ class FusionConvAddOp : public framework::OperatorWithKernel<
 
 #ifdef PADDLE_MOBILE_CPU
 
-//#ifndef CONV_ADD_REGISTER
-// static framework::FusionOpRegistrar convadd_registrar(
-//    new FusionConvAddMatcher());
-//#define CONV_ADD_REGISTER
-//#endif
+#ifndef CONV_ADD_REGISTER
+ static framework::FusionOpRegistrar convadd_registrar(
+    new FusionConvAddMatcher());
+#define CONV_ADD_REGISTER
+#endif
 
 #endif
 

src/operators/op_param.h

@@ -630,7 +630,7 @@ class MultiClassNMSParam : public OpParam {
 class FeedParam : public OpParam {
  public:
   FeedParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, Scope scope) {
+            const AttributeMap &attrs, Scope &scope) {
     input_x_ = InputXFrom<LoDTensor>(inputs, scope);
     out_ = OutFrom<LoDTensor>(outputs, scope);
     auto var = scope.Var("batch_size");

test/net/test_mobilenet+ssd.cpp

@@ -12,19 +12,19 @@ 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. */
 
-#include <fstream>
+#include <iostream>
 #include "../test_helper.h"
 #include "../test_include.h"
 
 int main() {
   paddle_mobile::PaddleMobile<paddle_mobile::CPU> paddle_mobile;
   auto time1 = time();
-  //  auto isok = paddle_mobile.Load(g_mobilenet_ssd_gesture + "/model",
-  //                                 g_mobilenet_ssd_gesture + "/params", true);
+//    auto isok = paddle_mobile.Load(g_mobilenet_ssd_gesture + "/model",
+//                                   g_mobilenet_ssd_gesture + "/params", true);
   auto isok = paddle_mobile.Load(g_mobilenet_ssd, false);
   if (isok) {
     auto time2 = time();
-    DLOG << "load cost :" << time_diff(time1, time1) << "ms";
+    std::cout << "load cost :" << time_diff(time1, time2) << "ms" << std::endl;
 
     std::vector<int64_t> dims{1, 3, 300, 300};
     Tensor input_tensor;
@@ -36,7 +36,7 @@ int main() {
     auto time3 = time();
     paddle_mobile.Predict(input, dims);
     auto time4 = time();
-    DLOG << "predict cost :" << time_diff(time3, time4) << "ms";
+    std::cout << "predict cost :" << time_diff(time3, time4) << "ms" << std::endl;
   }
   return 0;
 }