diff --git a/paddle/fluid/inference/api/details/zero_copy_tensor.cc b/paddle/fluid/inference/api/details/zero_copy_tensor.cc
index a5a0405ac88ad8e94a65d728557ab9298eae56dc..46755eeda660ae8f4c54d318f6450fbf1d48b1f7 100644
--- a/paddle/fluid/inference/api/details/zero_copy_tensor.cc
+++ b/paddle/fluid/inference/api/details/zero_copy_tensor.cc
@@ -21,15 +21,21 @@
 namespace paddle {
 
 void ZeroCopyTensor::Reshape(const std::vector<int> &shape) {
-  PADDLE_ENFORCE(!name_.empty(),
-                 "Need to SetName first, so that the corresponding tensor can "
-                 "be retrieved.");
-  PADDLE_ENFORCE(input_or_output_,
-                 "Can't reshape the output tensor, it is readonly");
-  PADDLE_ENFORCE(scope_);
+  PADDLE_ENFORCE_EQ(
+      name_.empty(), false,
+      platform::errors::PreconditionNotMet(
+          "Need to SetName first, so that the corresponding tensor can "
+          "be retrieved."));
+  PADDLE_ENFORCE_EQ(input_or_output_, true,
+                    platform::errors::PermissionDenied(
+                        "Can't reshape the output tensor, it is readonly"));
+  PADDLE_ENFORCE_NOT_NULL(scope_, platform::errors::PreconditionNotMet(
+                                      "The scope should not be nullptr."));
   auto *scope = static_cast<framework::Scope *>(scope_);
   auto *var = scope->FindVar(name_);
-  PADDLE_ENFORCE(var, "No tensor called [%s] in the runtime scope", name_);
+  PADDLE_ENFORCE_NOT_NULL(
+      var, platform::errors::PreconditionNotMet(
+               "No tensor called [%s] in the runtime scope", name_));
   auto *tensor = var->GetMutable<framework::LoDTensor>();
   tensor->Resize(framework::make_ddim(shape));
 }
@@ -45,8 +51,10 @@ T *ZeroCopyTensor::mutable_data(PaddlePlace place) {
   EAGER_GET_TENSOR;
   PADDLE_ENFORCE_GT(
       tensor->numel(), 0,
-      "You should call ZeroCopyTensor::Reshape(const std::vector<int> &shape)"
-      "function before retrieving mutable_data from input tensor.");
+      platform::errors::PreconditionNotMet(
+          "You should call ZeroCopyTensor::Reshape(const std::vector<int> "
+          "&shape)"
+          "function before retrieving mutable_data from input tensor."));
   switch (static_cast<int>(place)) {
     case static_cast<int>(PaddlePlace::kCPU): {
       return tensor->mutable_data<T>(platform::CPUPlace());
@@ -55,7 +63,8 @@ T *ZeroCopyTensor::mutable_data(PaddlePlace place) {
       return tensor->mutable_data<T>(platform::CUDAPlace(device_));
     }
     default:
-      PADDLE_THROW("Unsupported place: %d", static_cast<int>(place));
+      PADDLE_THROW(platform::errors::Unavailable("Unsupported place: %d",
+                                                 static_cast<int>(place)));
       break;
   }
   return nullptr;
@@ -96,10 +105,11 @@ PaddleDType ZeroCopyTensor::type() const {
 template <typename T>
 void ZeroCopyTensor::copy_from_cpu(const T *data) {
   EAGER_GET_TENSOR;
-  PADDLE_ENFORCE_GE(
-      tensor->numel(), 0,
-      "You should call ZeroCopyTensor::Reshape(const std::vector<int> &shape)"
-      "function before copying data from cpu.");
+  PADDLE_ENFORCE_GE(tensor->numel(), 0,
+                    platform::errors::PreconditionNotMet(
+                        "You should call ZeroCopyTensor::Reshape(const "
+                        "std::vector<int> &shape)"
+                        "function before copying data from cpu."));
   size_t ele_size = tensor->numel() * sizeof(T);
 
   if (place_ == PaddlePlace::kCPU) {
@@ -116,7 +126,8 @@ void ZeroCopyTensor::copy_from_cpu(const T *data) {
     memory::Copy(gpu_place, static_cast<void *>(t_data), platform::CPUPlace(),
                  data, ele_size, dev_ctx->stream());
 #else
-    PADDLE_THROW("Not compiled with CUDA, should not reach here.");
+    PADDLE_THROW(platform::errors::Unavailable(
+        "Not compiled with CUDA, should not reach here."));
 #endif
   }
 }
@@ -141,7 +152,8 @@ void ZeroCopyTensor::copy_to_cpu(T *data) {
 
     cudaStreamSynchronize(dev_ctx->stream());
 #else
-    PADDLE_THROW("Not compile with CUDA, should not reach here.");
+    PADDLE_THROW(platform::errors::Unavailable(
+        "Not compile with CUDA, should not reach here."));
 #endif
   }
 }
@@ -176,20 +188,27 @@ template PD_INFER_DECL uint8_t *ZeroCopyTensor::mutable_data<uint8_t>(
     PaddlePlace place);
 
 void *ZeroCopyTensor::FindTensor() const {
-  PADDLE_ENFORCE(!name_.empty(),
-                 "Need to SetName first, so that the corresponding tensor can "
-                 "be retrieved.");
-  PADDLE_ENFORCE(scope_);
+  PADDLE_ENFORCE_EQ(
+      name_.empty(), false,
+      platform::errors::PreconditionNotMet(
+          "Need to SetName first, so that the corresponding tensor can "
+          "be retrieved."));
+  PADDLE_ENFORCE_NOT_NULL(scope_, platform::errors::PreconditionNotMet(
+                                      "The scope should not be nullptr."));
   auto *scope = static_cast<framework::Scope *>(scope_);
   auto *var = scope->FindVar(name_);
-  PADDLE_ENFORCE(var, "No tensor called [%s] in the runtime scope", name_);
+  PADDLE_ENFORCE_NOT_NULL(
+      var, platform::errors::PreconditionNotMet(
+               "No tensor called [%s] in the runtime scope", name_));
   auto *tensor = var->GetMutable<framework::LoDTensor>();
   return tensor;
 }
 
 std::vector<int> ZeroCopyTensor::shape() const {
   EAGER_GET_TENSOR;
-  PADDLE_ENFORCE(tensor_, "not found tensor called %s in the scope", name_);
+  PADDLE_ENFORCE_NOT_NULL(
+      tensor_, platform::errors::PreconditionNotMet(
+                   "Not found tensor called %s in the scope", name_));
   return framework::vectorize<int>(tensor->dims());
 }