optimize the error meesage for detetion_map_op

 optimize the error meesage for detetion_map_op

paddle/fluid/operators/detection_map_op.cc

@@ -25,45 +25,55 @@ class DetectionMAPOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
   void InferShape(framework::InferShapeContext* ctx) const override {
-    PADDLE_ENFORCE(ctx->HasInput("DetectRes"),
-                   "Input(DetectRes) of DetectionMAPOp should not be null.");
-    PADDLE_ENFORCE(ctx->HasInput("Label"),
-                   "Input(Label) of DetectionMAPOp should not be null.");
-    PADDLE_ENFORCE(
-        ctx->HasOutput("AccumPosCount"),
-        "Output(AccumPosCount) of DetectionMAPOp should not be null.");
-    PADDLE_ENFORCE(
-        ctx->HasOutput("AccumTruePos"),
-        "Output(AccumTruePos) of DetectionMAPOp should not be null.");
-    PADDLE_ENFORCE(
-        ctx->HasOutput("AccumFalsePos"),
-        "Output(AccumFalsePos) of DetectionMAPOp should not be null.");
-    PADDLE_ENFORCE(ctx->HasOutput("MAP"),
-                   "Output(MAP) of DetectionMAPOp should not be null.");
+    OP_INOUT_CHECK(ctx->HasInput("DetectRes"), "Input", "DetectRes",
+                   "DetectionMAP");
+    OP_INOUT_CHECK(ctx->HasInput("Label"), "Input", "Label", "DetectionMAP");
+    OP_INOUT_CHECK(ctx->HasOutput("AccumPosCount"), "Output", "AccumPosCount",
+                   "DetectionMAP");
+    OP_INOUT_CHECK(ctx->HasOutput("AccumTruePos"), "Output", "AccumTruePos",
+                   "DetectionMAP");
+    OP_INOUT_CHECK(ctx->HasOutput("AccumFalsePos"), "Output", "AccumFalsePos",
+                   "DetectionMAP");
+    OP_INOUT_CHECK(ctx->HasOutput("MAP"), "Output", "MAP", "DetectionMAP");
 
     auto det_dims = ctx->GetInputDim("DetectRes");
-    PADDLE_ENFORCE_EQ(det_dims.size(), 2UL,
-                      "The rank of Input(DetectRes) must be 2, "
-                      "the shape is [N, 6].");
-    PADDLE_ENFORCE_EQ(det_dims[1], 6UL,
-                      "The shape is of Input(DetectRes) [N, 6].");
+    PADDLE_ENFORCE_EQ(
+        det_dims.size(), 2UL,
+        platform::errors::InvalidArgument(
+            "Input(DetectRes) ndim must be 2, the shape is [N, 6],"
+            "but received the ndim is %d",
+            det_dims.size()));
+    PADDLE_ENFORCE_EQ(
+        det_dims[1], 6UL,
+        platform::errors::InvalidArgument(
+            "The shape is of Input(DetectRes) [N, 6], but received"
+            " shape is [N, %d]",
+            det_dims[1]));
     auto label_dims = ctx->GetInputDim("Label");
     PADDLE_ENFORCE_EQ(label_dims.size(), 2,
-                      "The rank of Input(Label) must be 2, "
-                      "the shape is [N, 6].");
+                      platform::errors::InvalidArgument(
+                          "The ndim of Input(Label) must be 2, but received %d",
+                          label_dims.size()));
     if (ctx->IsRuntime() || label_dims[1] > 0) {
-      PADDLE_ENFORCE(label_dims[1] == 6 || label_dims[1] == 5,
-                     "The shape of Input(Label) is [N, 6] or [N, 5].");
+      PADDLE_ENFORCE_EQ(
+          (label_dims[1] == 6 || label_dims[1] == 5), true,
+          platform::errors::InvalidArgument(
+              "The shape of Input(Label) is [N, 6] or [N, 5], but received "
+              "[N, %d]",
+              label_dims[1]));
     }
 
     if (ctx->HasInput("PosCount")) {
-      PADDLE_ENFORCE(ctx->HasInput("TruePos"),
+      PADDLE_ENFORCE(
+          ctx->HasInput("TruePos"),
+          platform::errors::InvalidArgument(
               "Input(TruePos) of DetectionMAPOp should not be null when "
-                     "Input(TruePos) is not null.");
+              "Input(PosCount) is not null."));
       PADDLE_ENFORCE(
           ctx->HasInput("FalsePos"),
+          platform::errors::InvalidArgument(
               "Input(FalsePos) of DetectionMAPOp should not be null when "
-          "Input(FalsePos) is not null.");
+              "Input(PosCount) is not null."));
     }
 
     ctx->SetOutputDim("MAP", framework::make_ddim({1}));
@@ -170,8 +180,10 @@ class DetectionMAPOpMaker : public framework::OpProtoAndCheckerMaker {
         .SetDefault("integral")
         .InEnum({"integral", "11point"})
         .AddCustomChecker([](const std::string& ap_type) {
-          PADDLE_ENFORCE_NE(GetAPType(ap_type), APType::kNone,
-                            "The ap_type should be 'integral' or '11point.");
+          PADDLE_ENFORCE_NE(
+              GetAPType(ap_type), APType::kNone,
+              platform::errors::InvalidArgument(
+                  "The ap_type should be 'integral' or '11point."));
         });
     AddComment(R"DOC(
 Detection mAP evaluate operator.

paddle/fluid/operators/detection_map_op.h

@@ -78,11 +78,16 @@ class DetectionMAPOpKernel : public framework::OpKernel<T> {
 
     auto& label_lod = in_label->lod();
     auto& detect_lod = in_detect->lod();
-    PADDLE_ENFORCE_EQ(label_lod.size(), 1UL,
-                      "Only support one level sequence now.");
+    PADDLE_ENFORCE_EQ(
+        label_lod.size(), 1UL,
+        platform::errors::InvalidArgument("Only support LodTensor of lod_level "
+                                          "with 1 in label, but received %d.",
+                                          label_lod.size()));
     PADDLE_ENFORCE_EQ(label_lod[0].size(), detect_lod[0].size(),
+                      platform::errors::InvalidArgument(
                           "The batch_size of input(Label) and input(Detection) "
-                      "must be the same.");
+                          "must be the same, but received %d:%d",
+                          label_lod[0].size(), detect_lod[0].size()));
 
     std::vector<std::map<int, std::vector<Box>>> gt_boxes;
     std::vector<std::map<int, std::vector<std::pair<T, Box>>>> detect_boxes;
@@ -185,7 +190,12 @@ class DetectionMAPOpKernel : public framework::OpKernel<T> {
             box.is_difficult = true;
           boxes[label].push_back(box);
         } else {
-          PADDLE_ENFORCE_EQ(input_label.dims()[1], 5);
+          PADDLE_ENFORCE_EQ(
+              input_label.dims()[1], 5,
+              platform::errors::InvalidArgument(
+                  "The input label width"
+                  " must be 5, but received %d, please check your input data",
+                  input_label.dims()[1]));
           Box box(labels(i, 1), labels(i, 2), labels(i, 3), labels(i, 4));
           boxes[label].push_back(box);
         }