use Precision<P>::ptype instead of float

src/io/api_paddle_mobile.cc

@@ -70,10 +70,11 @@ bool PaddleMobilePredictor<Dtype, P>::Run(
   framework::Tensor input_tensor;
   input_tensor.Resize(ddim);
   int input_length = framework::product(ddim);
-  auto input_ptr = input_tensor.mutable_data<float>();
+  typedef typename PrecisionTrait<P>::ptype PType;
+  auto input_ptr = input_tensor.mutable_data<PType>();
 
-  memcpy(input_ptr, static_cast<float *>(input.data.data()),
-         input_length * sizeof(float));
+  memcpy(input_ptr, static_cast<PType *>(input.data.data()),
+         input_length * sizeof(PType));
   auto output_tensor = paddle_mobile_->Predict(input_tensor);
 
   if (output_data->empty()) {
@@ -90,12 +91,12 @@ bool PaddleMobilePredictor<Dtype, P>::Run(
     output.shape.push_back(static_cast<int>(d));
   }
 
-  if (output.data.length() < output_length * sizeof(float)) {
-    output.data.Resize(output_length * sizeof(float));
+  if (output.data.length() < output_length * sizeof(PType)) {
+    output.data.Resize(output_length * sizeof(PType));
   }
 
-  memcpy(output.data.data(), output_tensor->template data<float>(),
-         output_length * sizeof(float));
+  memcpy(output.data.data(), output_tensor->template data<PType>(),
+         output_length * sizeof(PType));
 
   return true;
 }