diff --git a/paddle/fluid/operators/maxout_op.cc b/paddle/fluid/operators/maxout_op.cc
index 058115cb624627d81b31d0903f7d615d19708c77..0a84eaf021cc10ee2e187bbe1ceae22ae9b5b4cc 100644
--- a/paddle/fluid/operators/maxout_op.cc
+++ b/paddle/fluid/operators/maxout_op.cc
@@ -71,10 +71,10 @@ class MaxOutOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
   void InferShape(framework::InferShapeContext* ctx) const override {
     PADDLE_ENFORCE(ctx->HasInput("X"),
-                   "Input(X) of MaxoutOp"
+                   "Input tensor of MaxoutOp"
                    "should not be null.");
     PADDLE_ENFORCE(ctx->HasOutput("Out"),
-                   "Output(Out) of MaxoutOp should not be null.");
+                   "Output tensor of MaxoutOp should not be null.");
     auto in_x_dims = ctx->GetInputDim("X");
     int groups = ctx->Attrs().Get<int>("groups");
     // check groups > 1
@@ -90,9 +90,9 @@ class MaxOutOpGrad : public framework::OperatorWithKernel {
  public:
   using framework::OperatorWithKernel::OperatorWithKernel;
   void InferShape(framework::InferShapeContext* ctx) const override {
-    PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) must not be null.");
+    PADDLE_ENFORCE(ctx->HasInput("X"), "Input tensor must not be null.");
     PADDLE_ENFORCE(ctx->HasOutput(framework::GradVarName("X")),
-                   "Input(X@GRAD) should not be null.");
+                   "Output gradient tensor should not be null.");
     ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X"));
   }
 };