diff --git a/paddle/fluid/operators/detection/rpn_target_assign_op.cc b/paddle/fluid/operators/detection/rpn_target_assign_op.cc
index 63895f8a1d55c26df6ffee4cadde04a43b0f2ace..46fff9d338b7759496faaf6dd9960d34887755ba 100644
--- a/paddle/fluid/operators/detection/rpn_target_assign_op.cc
+++ b/paddle/fluid/operators/detection/rpn_target_assign_op.cc
@@ -53,8 +53,8 @@ class RpnTargetAssignOp : public framework::OperatorWithKernel {
         ctx->HasOutput("TargetBBox"),
         "Output(TargetBBox) of RpnTargetAssignOp should not be null");
     PADDLE_ENFORCE(
-        ctx->HasOutput("BBox_inside_weight"),
-        "Output(BBox_inside_weight) of RpnTargetAssignOp should not be null");
+        ctx->HasOutput("BBoxInsideWeight"),
+        "Output(BBoxInsideWeight) of RpnTargetAssignOp should not be null");
 
     auto anchor_dims = ctx->GetInputDim("Anchor");
     auto gt_boxes_dims = ctx->GetInputDim("GtBoxes");
@@ -71,7 +71,7 @@ class RpnTargetAssignOp : public framework::OperatorWithKernel {
     ctx->SetOutputDim("ScoreIndex", {-1});
     ctx->SetOutputDim("TargetLabel", {-1, 1});
     ctx->SetOutputDim("TargetBBox", {-1, 4});
-    ctx->SetOutputDim("BBox_inside_weight", {-1, 4});
+    ctx->SetOutputDim("BBoxInsideWeight", {-1, 4});
   }
 
  protected:
@@ -345,7 +345,7 @@ class RpnTargetAssignKernel : public framework::OpKernel<T> {
     auto* score_index = context.Output<LoDTensor>("ScoreIndex");
     auto* tgt_bbox = context.Output<LoDTensor>("TargetBBox");
     auto* tgt_lbl = context.Output<LoDTensor>("TargetLabel");
-    auto* bbox_inside_weight = context.Output<LoDTensor>("BBox_inside_weight");
+    auto* bbox_inside_weight = context.Output<LoDTensor>("BBoxInsideWeight");
 
     PADDLE_ENFORCE_EQ(gt_boxes->lod().size(), 1UL,
                       "RpnTargetAssignOp gt_boxes needs 1 level of LoD");
@@ -547,7 +547,7 @@ class RpnTargetAssignOpMaker : public framework::OpProtoAndCheckerMaker {
         "TargetLabel",
         "(Tensor<int>), The target labels of each anchor with shape "
         "[F + B, 1], F and B are sampled foreground and backgroud number.");
-    AddOutput("BBox_inside_weight",
+    AddOutput("BBoxInsideWeight",
               "(Tensor), The bbox inside weight with shape "
               "[F, 4], F is the sampled foreground number.");
     AddComment(R"DOC(
diff --git a/python/paddle/fluid/layers/detection.py b/python/paddle/fluid/layers/detection.py
index 4f23412d85747d847d84e9a62bbbd605c794bfa7..1723435853b488a1e1c8bbc77631a01e0be6b150 100644
--- a/python/paddle/fluid/layers/detection.py
+++ b/python/paddle/fluid/layers/detection.py
@@ -167,7 +167,7 @@ def rpn_target_assign(bbox_pred,
             'ScoreIndex': score_index,
             'TargetLabel': target_label,
             'TargetBBox': target_bbox,
-            'BBox_inside_weight': bbox_inside_weight
+            'BBoxInsideWeight': bbox_inside_weight
         },
         attrs={
             'rpn_batch_size_per_im': rpn_batch_size_per_im,
diff --git a/python/paddle/fluid/tests/test_detection.py b/python/paddle/fluid/tests/test_detection.py
index b36b4272c731b14465fe03ccf10627a8ef178abc..28dc7519571d8b5464e92fddf634ba46691ceaa9 100644
--- a/python/paddle/fluid/tests/test_detection.py
+++ b/python/paddle/fluid/tests/test_detection.py
@@ -324,6 +324,7 @@ class TestRpnTargetAssign(unittest.TestCase):
             assert pred_scores.shape[1] == 1
             assert pred_loc.shape[1] == 4
             assert pred_loc.shape[1] == tgt_bbox.shape[1]
+            print(str(program))
 
 
 class TestGenerateProposals(unittest.TestCase):
diff --git a/python/paddle/fluid/tests/unittests/test_rpn_target_assign_op.py b/python/paddle/fluid/tests/unittests/test_rpn_target_assign_op.py
index fe1fa5e54de698a98f55a96d0b75f3a4e6aa69fc..1a2c9bb5f43d55d8e6183de0d55bfcc2b9ac3f08 100644
--- a/python/paddle/fluid/tests/unittests/test_rpn_target_assign_op.py
+++ b/python/paddle/fluid/tests/unittests/test_rpn_target_assign_op.py
@@ -227,7 +227,7 @@ class TestRpnTargetAssignOp(OpTest):
             'ScoreIndex': score_index.astype('int32'),
             'TargetBBox': tgt_bbox.astype('float32'),
             'TargetLabel': labels.astype('int32'),
-            'BBox_inside_weight': bbox_inside_weights.astype('float32')
+            'BBoxInsideWeight': bbox_inside_weights.astype('float32')
         }
 
     def test_check_output(self):