fix op error (#27599)

* fix error

* fix error

* fix error

* merge develop

paddle/fluid/operators/distributed_ops/split_byref_op.cc

@@ -24,10 +24,9 @@ class SplitByrefOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
   void InferShape(framework::InferShapeContext *ctx) const override {
-    PADDLE_ENFORCE(ctx->HasInput("X"),
-                   "Input(X) of SplitOp should not be null.");
-    PADDLE_ENFORCE_GE(ctx->Outputs("Out").size(), 1UL,
-                      "Outputs(Out) of SplitOp should not be empty.");
+    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "Ids", "SplitByrefOp");
+    OP_INOUT_CHECK(ctx->HasOutputs("Out"), "Output", "Out", "SplitByrefOp");
+
     auto in_dims = ctx->GetInputDim("X");
     auto outs_names = ctx->Outputs("Out");
     size_t num = static_cast<size_t>(ctx->Attrs().Get<int>("num"));
@@ -51,9 +50,10 @@ class SplitByrefOp : public framework::OperatorWithKernel {
         outs_dims.push_back(dim);
       }
     } else if (sections.size() > 0) {
-      PADDLE_ENFORCE_EQ(sections.size(), outs_number,
-                        "tensor split sections size"
-                        "should be equal to output size.");
+      PADDLE_ENFORCE_EQ(
+          sections.size(), outs_number,
+          platform::errors::InvalidArgument("tensor split sections size"
+                                            "should be equal to output size"));
       for (size_t i = 0; i < outs_number; ++i) {
         auto dim = in_dims;
         dim[0] = sections[i];

paddle/fluid/operators/distributed_ops/split_ids_op.cc

@@ -52,13 +52,19 @@ class SplitIdsOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
   void InferShape(framework::InferShapeContext *ctx) const override {
-    PADDLE_ENFORCE(ctx->HasInputs("Ids"), "SplitIdsOp must have input Ids.");
-    PADDLE_ENFORCE(ctx->HasOutputs("Out"), "SplitIdsOp must have output Out.");
+    OP_INOUT_CHECK(ctx->HasInputs("Ids"), "Input", "Ids", "SplitIdsOp");
+    OP_INOUT_CHECK(ctx->HasOutputs("Out"), "Output", "Out", "SplitIdsOp");
 
     auto ids_var_type = ctx->GetInputsVarType("Ids").front();
     auto ids_dims = ctx->GetInputsDim("Ids");
     if (ids_var_type == framework::proto::VarType::LOD_TENSOR) {
-      PADDLE_ENFORCE_EQ(ids_dims[0].size(), 2);
+      PADDLE_ENFORCE_EQ(
+          ids_dims[0].size(), 2,
+          platform::errors::InvalidArgument(
+              "ShapeError: The dimensions of the 'split_ids' must be 2. "
+              "But received split_ids's dimensions = %d, "
+              "split_ids's shape = [%s].",
+              ids_dims[0].size(), ids_dims[0]));
     }
   }
 

paddle/fluid/operators/distributed_ops/split_ids_op.h

@@ -30,12 +30,17 @@ class SplitIdsOpKernel : public framework::OpKernel<T> {
   void Compute(const framework::ExecutionContext &ctx) const override {
     auto place = ctx.GetPlace();
     if (!platform::is_cpu_place(place)) {
-      PADDLE_THROW("SplitIds do not support GPU kernel");
+      PADDLE_THROW(platform::errors::Unimplemented(
+          "SplitIds do not support GPU kernel"));
     }
 
     const auto ids_vars = ctx.MultiInputVar("Ids");
 
-    PADDLE_ENFORCE_GT(ids_vars.size(), 0, "The number of Ids should > 0");
+    PADDLE_ENFORCE_GT(
+        ids_vars.size(), 0,
+        platform::errors::InvalidArgument(
+            ids_vars.size(), 0, "The number of Ids expected > 0, but got %d",
+            ids_vars.size()));
     auto *ids_var = ids_vars[0];
 
     if (ids_var->IsType<framework::LoDTensor>()) {
@@ -83,9 +88,6 @@ class SplitIdsOpKernel : public framework::OpKernel<T> {
     } else if (ids_var->IsType<framework::SelectedRows>()) {
       const auto *ids_selected_rows = ctx.Input<framework::SelectedRows>("Ids");
       auto &ids_dims = ids_selected_rows->value().dims();
-      PADDLE_ENFORCE_EQ(ids_dims[0],
-                        static_cast<int64_t>(ids_selected_rows->rows().size()),
-                        "");
       const T *ids_data = ids_selected_rows->value().data<T>();
       const auto &ids_rows = ids_selected_rows->rows();
       auto outs = ctx.MultiOutput<framework::SelectedRows>("Out");
@@ -114,9 +116,9 @@ class SplitIdsOpKernel : public framework::OpKernel<T> {
         }
       }
     } else {
-      PADDLE_THROW(
+      PADDLE_THROW(platform::errors::InvalidArgument(
           "% should be LoDTensor or SelectedRows, but the received type is %s",
-          ctx.InputNames("Ids")[0], framework::ToTypeName(ids_var->Type()));
+          ctx.InputNames("Ids")[0], framework::ToTypeName(ids_var->Type())));
     }
   }
 };