fix again

core/predictor/framework/infer.h

@@ -602,13 +602,13 @@ class FluidInferEngine : public CloneDBReloadableInferEngine<FluidFamilyCore> {
     }
 
     //set inputHandle
-    BatchTensor* batchTensor_pointer_in = reinterpret_cast<const BatchTensor*>(in);
+    const BatchTensor* batchTensor_pointer_in = reinterpret_cast<const BatchTensor*>(in);
     for(int i =0; i< batchTensor_pointer_in->count();++i){
       Tensor tensor_in_batchTensor = (*batchTensor_pointer_in)[i];
-      auto lod_tensor_in = core.GetInputHandle(tensor_in_batchTensor.name);
+      auto lod_tensor_in = core->GetInputHandle(tensor_in_batchTensor.name);
       lod_tensor_in->SetLoD(tensor_in_batchTensor.lod);
       lod_tensor_in->Reshape(tensor_in_batchTensor.shape);
-      void* origin_data = tensor_in_batchTensor.data().data();
+      void* origin_data = tensor_in_batchTensor.data.data();
       if(tensor_in_batchTensor.type == FLOAT32){
         float* data = reinterpret_cast<float*>(origin_data);
         lod_tensor_in->CopyFromCpu(data);
@@ -627,9 +627,9 @@ class FluidInferEngine : public CloneDBReloadableInferEngine<FluidFamilyCore> {
 
     //get out and copy to void* out
     BatchTensor* batchTensor_pointer_out = reinterpret_cast<BatchTensor*>(out);
-    std::vector<std::string> outnames = core.GetOutputNames();
+    std::vector<std::string> outnames = core->GetOutputNames();
     for (int i = 0; i < outnames.size(); ++i){
-      auto lod_tensor_out = core.GetOutputHandle(outnames[i]);
+      auto lod_tensor_out = core->GetOutputHandle(outnames[i]);
       std::vector<int> output_shape = lod_tensor_out->shape();
       int out_num = std::accumulate(output_shape.begin(), output_shape.end(), 1, std::multiplies<int>());
       int dataType = lod_tensor_out->type();
@@ -653,7 +653,7 @@ class FluidInferEngine : public CloneDBReloadableInferEngine<FluidFamilyCore> {
       }
       Tensor tensor_out;
       tensor_out.name = outnames[i];
-      tensor_out.type = dataType;
+      tensor_out.type = DataType(dataType);
       tensor_out.shape.assign(output_shape.begin(), output_shape.end());
       std::vector<std::vector<size_t>> out_lod = lod_tensor_out->lod();
       for (int li = 0; li < out_lod.size(); ++li) {