diff --git a/paddle/fluid/operators/concat_op.cc b/paddle/fluid/operators/concat_op.cc
index 9b7b3a07549dcde6d316a91ddeb4363e7692a788..e4ef952b7bdf99bdad1d60830f241d1a3b56689d 100644
--- a/paddle/fluid/operators/concat_op.cc
+++ b/paddle/fluid/operators/concat_op.cc
@@ -30,18 +30,17 @@ class ConcatOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
   void InferShape(framework::InferShapeContext *ctx) const override {
-    PADDLE_ENFORCE_GE(ctx->Inputs("X").size(), 1UL,
-                      "Inputs(X) of ConcatOp should not be empty.");
-
-    PADDLE_ENFORCE_EQ(ctx->HasOutput("Out"), true,
-                      "Output(Out) of ConcatOp should not be null.");
+    OP_INOUT_CHECK(ctx->HasInputs("X"), "Input", "X", "Concat");
+    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "Concat");
 
     auto inputs_dims = ctx->GetInputsDim("X");
 
     const size_t inputs_num = inputs_dims.size();
-    PADDLE_ENFORCE_GT(inputs_num, 0,
-                      "ShapeError: Input tensors count should > 0. But "
-                      "recevied inputs' length is 0.");
+    PADDLE_ENFORCE_GT(
+        inputs_num, static_cast<size_t>(0),
+        platform::errors::InvalidArgument(
+            "The number of input tensors in concat op should > 0. But "
+            "received inputs' length is 0."));
     if (inputs_num == 1) {
       VLOG(3) << "Warning: concat op have only one input, may waste memory";
     }
diff --git a/paddle/fluid/operators/concat_op.h b/paddle/fluid/operators/concat_op.h
index cf0ae2ec8aa2923c911994207e4135d449fd939d..6f4b9147c66e06d36a7ce7612ffd252ff7f7a21a 100644
--- a/paddle/fluid/operators/concat_op.h
+++ b/paddle/fluid/operators/concat_op.h
@@ -49,10 +49,11 @@ static inline framework::DDim ComputeAndCheckShape(
           // check all shape in run time
           PADDLE_ENFORCE_EQ(
               inputs_dims[0][j], inputs_dims[i][j],
-              "ShapeError: Dimension %d in inputs' shapes must be equal. "
-              "But recevied input[0]'s shape = "
-              "[%s], input[%d]'s shape = [%s].",
-              j, inputs_dims[0], i, inputs_dims[i]);
+              platform::errors::InvalidArgument(
+                  "The shape of input[%d] must be equal to input[0]. "
+                  "But received input[0]'s shape = "
+                  "[%s], input[%d]'s shape = [%s].",
+                  i, inputs_dims[0], i, inputs_dims[i]));
         }
       }
     }
@@ -78,7 +79,9 @@ class ConcatKernel : public framework::OpKernel<T> {
   void Compute(const framework::ExecutionContext& ctx) const override {
     auto ins = ctx.MultiInput<framework::LoDTensor>("X");
     framework::LoDTensor* out = ctx.Output<framework::LoDTensor>("Out");
-    PADDLE_ENFORCE_EQ(ins[0] != nullptr, true, "The input should not be null.");
+    PADDLE_ENFORCE_NOT_NULL(
+        ins[0], platform::errors::NotFound(
+                    " The first input of concat should not be null."));
     auto axis = ctx.Attr<int>("axis");
     bool need_resize_out_dims = false;
     if (ctx.HasInput("AxisTensor")) {
@@ -178,7 +181,9 @@ class ConcatGradKernel : public framework::OpKernel<T> {
         }
       }
     }
-    PADDLE_ENFORCE_EQ(ins[0] != nullptr, true, "The input should not be null.");
+    PADDLE_ENFORCE_NOT_NULL(
+        ins[0], platform::errors::NotFound(
+                    "The first input of concat should not be null."));
 
     auto axis = ctx.Attr<int>("axis");
     if (ctx.HasInput("AxisTensor")) {