Support static graph code-gen for yolo_box

paddle/fluid/operators/detection/CMakeLists.txt

@@ -42,7 +42,6 @@ else()
   detection_library(iou_similarity_op SRCS iou_similarity_op.cc
                     iou_similarity_op.cu)
   detection_library(prior_box_op SRCS prior_box_op.cc)
-  detection_library(yolo_box_op SRCS yolo_box_op.cc)
   # detection_library(generate_proposals_v2_op SRCS generate_proposals_v2_op.cc)
 endif()
 

paddle/phi/api/yaml/legacy_ops.yaml

@@ -1547,15 +1547,6 @@
     data_type: x
   backward: unpool3d_grad
 
-- op : yolo_box
-  args : (Tensor x, Tensor img_size, int[] anchors, int class_num, float conf_thresh, int downsample_ratio, bool clip_bbox, float scale_x_y=1.0, bool iou_aware=false, float iou_aware_factor=0.5)
-  output : Tensor(boxes), Tensor(scores)
-  infer_meta :
-    func : YoloBoxInferMeta
-  kernel :
-    func : yolo_box
-    data_type : x
-
 - op : yolo_loss
   args : (Tensor x, Tensor gt_box, Tensor gt_label, Tensor gt_score, int[] anchors, int[] anchor_mask, int class_num, float ignore_thresh, int downsample_ratio, bool use_label_smooth=true, float scale_x_y=1.0)
   output : Tensor(loss), Tensor(objectness_mask), Tensor(gt_match_mask)

paddle/phi/api/yaml/op_compat.yaml

@@ -2216,6 +2216,12 @@
   extra :
     attrs : ['str[] skip_eager_deletion_vars = {}']
 
+- op : yolo_box
+  inputs :
+    {x : X, img_size : ImgSize}
+  outputs :
+    {boxes : Boxes, scores : Scoes}
+
 - op: sigmoid_cross_entropy_with_logits
   backward: sigmoid_cross_entropy_with_logits_grad
   inputs :

paddle/phi/api/yaml/op_version.yaml

@@ -206,3 +206,14 @@
         - add_attr : axis
           comment : The axis to apply unique. If None, the input will be flattened.
           default : std::vector<int>{}
+
+- op : yolo_box
+  version :
+    - checkpoint : Upgrade yolo box to add new attribute [iou_aware, iou_aware_factor].
+      action :
+        - add_attr : iou_aware
+          comment : Whether use iou aware.
+          default : "false"
+        - add_attr : iou_aware_factor
+          comment : iou aware factor.
+          default : 0.5f

paddle/phi/api/yaml/ops.yaml

@@ -1858,3 +1858,12 @@
   kernel :
     func : where
   backward : where_grad
+
+- op : yolo_box
+  args : (Tensor x, Tensor img_size, int[] anchors={}, int class_num = 1, float conf_thresh = 0.01, int downsample_ratio = 32, bool clip_bbox = true, float scale_x_y=1.0, bool iou_aware=false, float iou_aware_factor=0.5)
+  output : Tensor(boxes), Tensor(scores)
+  infer_meta :
+    func : YoloBoxInferMeta
+  kernel :
+    func : yolo_box
+    data_type : x