refine fused_elemwise_activation error message (#27734)

paddle/fluid/operators/fused/fused_elemwise_activation_op.h

@@ -276,7 +276,8 @@ static void RunFunctors(const framework::ExecutionContext &ctx,
         ctx, paddle::operators::math::MulFunctor<T>(),
         paddle::operators::math::SigmoidFunctor<T>(), in_x, in_y, outputs);
   } else {
-    PADDLE_THROW("%s has not been implemented.", funcs_str);
+    PADDLE_THROW(platform::errors::InvalidArgument(
+        "%s has not been implemented.", funcs_str));
   }
 }
 
@@ -374,7 +375,8 @@ static void RunGradFunctors(
         paddle::operators::math::SigmoidGradFunctor<T>(), in_x, in_y, in_out,
         in_intermediate_out, in_out_grad, x_grad, y_grad, d_intermediate_out);
   } else {
-    PADDLE_THROW("%s has not been implemented.", funcs_str);
+    PADDLE_THROW(platform::errors::InvalidArgument(
+        "%s has not been implemented.", funcs_str));
   }
 }
 
@@ -386,16 +388,21 @@ class FusedElemwiseActivationKernel : public framework::OpKernel<T> {
                                  "X", "FusedElemwiseActivation");
     auto &in_y = GET_DATA_SAFELY(ctx.Input<framework::Tensor>("Y"), "Input",
                                  "Y", "FusedElemwiseActivation");
-    PADDLE_ENFORCE(ctx.HasOutput("Out"), "The output(Out) should not be empty");
+
+    PADDLE_ENFORCE_EQ(ctx.HasOutput("Out"), true,
+                      platform::errors::InvalidArgument(
+                          "The output(Out) should not be empty"));
     auto output = ctx.Output<framework::Tensor>("Out");
 
     std::vector<framework::Tensor *> outputs;
     outputs.emplace_back(output);
 
     if (ctx.Attr<bool>("save_intermediate_out")) {
-      PADDLE_ENFORCE(ctx.HasOutput("IntermediateOut"),
-                     "The save_intermediate_out is enable, so the "
-                     "IntermediateOut should not be empty.");
+      PADDLE_ENFORCE_EQ(ctx.HasOutput("IntermediateOut"), true,
+                        platform::errors::InvalidArgument(
+                            "The save_intermediate_out is enable, so the "
+                            "IntermediateOut should not be empty."));
+
       auto intermediate_out = ctx.Output<framework::Tensor>("IntermediateOut");
       outputs.emplace_back(intermediate_out);
     } else {
@@ -411,13 +418,18 @@ class FusedElemwiseActivationGradKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext &ctx) const override {
     auto in_y = ctx.Input<framework::Tensor>("Y");
-    PADDLE_ENFORCE(in_y != nullptr, "Input(Y) should not be nullptr.");
+    PADDLE_ENFORCE_NE(in_y, nullptr, platform::errors::InvalidArgument(
+                                         "Input(Y) should not be nullptr."));
     auto in_out = ctx.Input<framework::Tensor>("Out");
-    PADDLE_ENFORCE(in_out != nullptr, "Input(Out) should not be nullptr.");
+    PADDLE_ENFORCE_NE(
+        in_out, nullptr,
+        platform::errors::InvalidArgument("Input(Out) should not be nullptr."));
     auto in_out_grad =
         ctx.Input<framework::Tensor>(framework::GradVarName("Out"));
-    PADDLE_ENFORCE(in_out_grad != nullptr,
-                   "Input(Out@Grad) should not be nullptr.");
+    PADDLE_ENFORCE_NE(in_out_grad, nullptr,
+                      platform::errors::InvalidArgument(
+                          "Input(Out@Grad) should not be nullptr."));
+
     framework::Tensor *in_x =
         const_cast<framework::Tensor *>(ctx.Input<framework::Tensor>("X"));
     framework::Tensor *x_grad =
@@ -437,24 +449,28 @@ class FusedElemwiseActivationGradKernel : public framework::OpKernel<T> {
       // recompute.
       in_intermediate_out = const_cast<framework::Tensor *>(
           ctx.Input<framework::Tensor>("IntermediateOut"));
-      PADDLE_ENFORCE(in_intermediate_out != nullptr,
-                     "The option of 'save_intermediate_out' is opened, "
-                     "so the number of 'Out' should be two.");
+      PADDLE_ENFORCE_NE(in_intermediate_out, nullptr,
+                        platform::errors::InvalidArgument(
+                            "The option of 'save_intermediate_out' is opened,"
+                            " so the number of 'Out' should be two."));
     } else {
       if (!InputXCanBeAbsent(functor_list)) {
-        PADDLE_ENFORCE(in_x != nullptr, "Input(X) should not be null.");
+        PADDLE_ENFORCE_NE(in_x, nullptr, platform::errors::InvalidArgument(
+                                             "Input(X) should not be null."));
       }
     }
 
     // Get in_x
     if (ctx.HasInput("X")) {
-      PADDLE_ENFORCE(in_x != nullptr, "Input(X) should not be nullptr.");
+      PADDLE_ENFORCE_NE(in_x, nullptr, platform::errors::InvalidArgument(
+                                           "Input(X) should not be null."));
     } else {
       // If functor_list contains elementwise_add, the backward doesn't use
       // in_x, in_y and in_out.
-      PADDLE_ENFORCE(InputXCanBeAbsent(functor_list),
-                     "Only when the compoundfunctor contains "
-                     "elementwise_add_grad, the 'X' could be absent.");
+      PADDLE_ENFORCE_EQ(InputXCanBeAbsent(functor_list), true,
+                        platform::errors::InvalidArgument(
+                            "Only when the compoundfunctor contains "
+                            "elementwise_add_grad, the 'X' could be absent."));
       in_x = const_cast<framework::Tensor *>(in_out_grad);
     }