diff --git a/src/framework/tensor.h b/src/framework/tensor.h
index 721d4ea5e93cf305880ea124a58769f4fa99db62..403768f858d3ff93c592768822a21b32234e16d8 100644
--- a/src/framework/tensor.h
+++ b/src/framework/tensor.h
@@ -116,8 +116,8 @@ class Tensor {
     PADDLE_MOBILE_ENFORCE(
         (std::is_same<T, void>::value ||
          holder_->type().hash_code() == typeid(T).hash_code()),
-        "Tensor holds the wrong type, it holds %s",
-        this->holder_->type().name());
+        "Tensor holds the wrong type, it holds %s ,requested:%s",
+        this->holder_->type().name(), typeid(T).name());
 
     return reinterpret_cast<const T *>(
         reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
diff --git a/src/operators/feed_op.h b/src/operators/feed_op.h
index 9b632034113bf5b627ba069a108f067b71a008b7..5969e679552345d25c8c9c7a4950eb3b6d72eca2 100644
--- a/src/operators/feed_op.h
+++ b/src/operators/feed_op.h
@@ -36,9 +36,14 @@ class FeedOp : public framework::OperatorBase<DeviceType> {
     out_dims[0] = param_.BatchSize();
     param_.Out()->Resize(out_dims);
   }
-  void Init() {}
 
 #ifdef PADDLE_MOBILE_FPGA
+
+  void Init() {
+    Tensor *output = param_.Out();
+    output->mutable_data<half>();
+  }
+
   void RunImpl() const {
     const Tensor *input = param_.InputX();
     auto input_ptr = input->data<float>();
@@ -56,6 +61,7 @@ class FeedOp : public framework::OperatorBase<DeviceType> {
   }
 
 #else
+  void Init() {}
   void RunImpl() const { param_.Out()->ShareDataWith(*param_.InputX()); }
 #endif