diff --git a/paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc b/paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc
index d98e782562a427f199d3ae0870d02f95deadf53f..83185639d6219ead9a594d036de542395de8eb0c 100644
--- a/paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc
+++ b/paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc
@@ -22,37 +22,59 @@ namespace operators {
 
 void FusionRepeatedFCReluOp::InferShape(
     framework::InferShapeContext* ctx) const {
-  PADDLE_ENFORCE(ctx->HasInput("X"),
-                 "Input(X) of FusionRepeatedFCReluOp should not be null.");
+  OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "FusionRepeatedFCRelu");
   auto sz = ctx->Inputs("W").size();
-  PADDLE_ENFORCE_GT(
-      sz, 1UL, "Inputs(W) of FusionRepeatedFCReluOp should larger than 1.");
-  PADDLE_ENFORCE_EQ(ctx->Inputs("Bias").size(), sz,
-                    "Size of inputs(Bias) of FusionRepeatedFCReluOp should be "
-                    "equal to inputs size.");
-  PADDLE_ENFORCE_EQ(ctx->Outputs("ReluOut").size(), sz - 1,
-                    "Size of output(ReluOut) of FusionRepeatedFCReluOp should "
-                    "be equal to inputs size -1.");
-  PADDLE_ENFORCE(ctx->HasOutput("Out"),
-                 "Output(Out) of FusionRepeatedFCReluOp should not be null.");
+  PADDLE_ENFORCE_GT(sz, 1UL, platform::errors::InvalidArgument(
+                                 "Inputs(W) of FusionRepeatedFCReluOp should "
+                                 "be greater than 1, but received value is %d.",
+                                 sz));
+  PADDLE_ENFORCE_EQ(
+      ctx->Inputs("Bias").size(), sz,
+      platform::errors::InvalidArgument(
+          "Size of inputs(Bias) of FusionRepeatedFCReluOp should be "
+          "equal to inputs size %d, but received value is %d.",
+          sz, ctx->Inputs("Bias").size()));
+  PADDLE_ENFORCE_EQ(
+      ctx->Outputs("ReluOut").size(), sz - 1,
+      platform::errors::InvalidArgument(
+          "Size of output(ReluOut) of FusionRepeatedFCReluOp should "
+          "be equal to inputs size minus one %d, but received value is %d",
+          sz - 1, ctx->Outputs("ReluOut").size()));
+  OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out",
+                 "FusionRepeatedFCRelu");
 
   auto i_dims = ctx->GetInputDim("X");
-  PADDLE_ENFORCE_EQ(i_dims.size(), 2, "Input shape size should be 2");
+  PADDLE_ENFORCE_EQ(
+      i_dims.size(), 2,
+      platform::errors::InvalidArgument(
+          "Input shape size should be 2, but received value is %d.",
+          i_dims.size()));
 
   auto w_dims = ctx->GetInputsDim("W");
   auto b_dims = ctx->GetInputsDim("Bias");
   PADDLE_ENFORCE_EQ(w_dims.size(), b_dims.size(),
-                    "Shape size of weight and bias should be equal");
-  PADDLE_ENFORCE_EQ(w_dims.size(), sz,
-                    "Shape size of weight and bias should be equal");
+                    platform::errors::InvalidArgument(
+                        "Shape size of weight and bias should be equal, but "
+                        "weight size is %d, bias size is %d.",
+                        w_dims.size(), b_dims.size()));
   PADDLE_ENFORCE_EQ(i_dims[1], w_dims[0][0],
-                    "inpute width should be equal with weight height");
+                    platform::errors::InvalidArgument(
+                        "input width should be equal to weight height, but "
+                        "input width is %d, weight height is %d.",
+                        i_dims[1], w_dims[0][0]));
 
   for (size_t i = 1; i < sz; ++i) {
     PADDLE_ENFORCE_EQ(w_dims[i].size(), 2,
-                      "Every weight shape size should be 2.");
-    PADDLE_ENFORCE_EQ(framework::product(b_dims[i]), w_dims[i][1],
-                      "The length of Bias must be equal with w_dims[1].");
+                      platform::errors::InvalidArgument(
+                          "Every weight shape size should be 2., but received "
+                          "w_dims[%d].size() = %d.",
+                          i, w_dims[i].size()));
+    PADDLE_ENFORCE_EQ(
+        framework::product(b_dims[i]), w_dims[i][1],
+        platform::errors::InvalidArgument(
+            "The length of Bias must be equal with w_dims[1], but received "
+            "product(b_dims[%d]) = %d, w_dims[%d][1] = %d.",
+            i, framework::product(b_dims[i]), i, w_dims[i][1]));
   }
   ctx->SetOutputDim("Out", {i_dims[0], w_dims[sz - 1][1]});
   ctx->ShareLoD("X", /*->*/ "Out");