diff --git a/paddle/operators/dropout_op.cc b/paddle/operators/dropout_op.cc
index c4bee44e3e..82e2140808 100644
--- a/paddle/operators/dropout_op.cc
+++ b/paddle/operators/dropout_op.cc
@@ -25,8 +25,6 @@ class DropoutOp : public framework::OperatorWithKernel {
 
   void InferShape(framework::InferShapeContext* ctx) const override {
     PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) must not be null.");
-    PADDLE_ENFORCE_GE(ctx->Attrs().Get<float>("dropout_prob"), 0);
-    PADDLE_ENFORCE_LE(ctx->Attrs().Get<float>("dropout_prob"), 1);
 
     auto x_dims = ctx->GetInputDim("X");
     ctx->SetOutputDim("Out", x_dims);
@@ -47,7 +45,11 @@ class DropoutOpMaker : public framework::OpProtoAndCheckerMaker {
     AddOutput("Mask", "The random sampled dropout mask.").AsIntermediate();
 
     AddAttr<float>("dropout_prob", "Probability of setting units to zero.")
-        .SetDefault(.5f);
+        .SetDefault(.5f)
+        .AddCustomChecker([](const float& drop_p) {
+          PADDLE_ENFORCE(drop_p > 0.0f && drop_p < 1.0f,
+                         "'dropout_prob' must be between 0 and 1.");
+        });
     AddAttr<bool>("is_test", "True if in test phase.").SetDefault(false);
     AddAttr<int>("seed", "Dropout random seed.").SetDefault(0);
 
@@ -78,8 +80,6 @@ class DropoutOpGrad : public framework::OperatorWithKernel {
     PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")),
                    "Input(Out@GRAD) must not be null.");
 
-    PADDLE_ENFORCE_GE(ctx->Attrs().Get<float>("dropout_prob"), 0);
-    PADDLE_ENFORCE_LE(ctx->Attrs().Get<float>("dropout_prob"), 1);
     auto x_dims = ctx->GetInputDim("X");
     auto out_dims = ctx->GetInputDim(framework::GradVarName("Out"));
     PADDLE_ENFORCE_EQ(x_dims, out_dims,