support the 'generate_proposals' for generating static graph ops

paddle/phi/api/yaml/legacy_ops.yaml

@@ -590,14 +590,6 @@
     data_type : dtype
     backend : place
 
-- op : generate_proposals
-  args : (Tensor scores, Tensor bbox_deltas, Tensor im_shape, Tensor anchors, Tensor variances, int pre_nms_top_n, int post_nms_top_n, float nms_thresh, float min_size, float eta, bool pixel_offset=true)
-  output : Tensor(rpn_rois), Tensor(rpn_roi_probs), Tensor(rpn_rois_num)
-  infer_meta :
-    func : GenerateProposalsV2InferMeta
-  kernel :
-    func : generate_proposals
-
 - op : greater_equal
   args : (Tensor x, Tensor y)
   output : Tensor(out)

paddle/phi/api/yaml/op_compat.yaml

@@ -952,6 +952,12 @@
   extra :
     attrs : [bool use_mkldnn = false, str mkldnn_data_type = "float32"]
 
+- op : generate_proposals(generate_proposals_v2)
+  inputs :
+    {scores : Scores, bbox_deltas : BboxDeltas, im_shape : ImShape, anchors : Anchors, variances : Variances}
+  outputs :
+    {rpn_rois : RpnRois, rpn_roi_probs : RpnRoiProbs, rpn_rois_num : RpnRoisNum}
+
 - op : grad_add
   extra :
     attrs : [bool use_mkldnn = false, str x_data_format = "", str y_data_format = "", str mkldnn_data_type = "float32",

paddle/phi/api/yaml/op_version.yaml

@@ -96,6 +96,14 @@
           comment : "The arg 'default_value' of attr 'shape' is changed: from 'None' to '{}'."
           default : std::vector<int64_t>{}
 
+- op : generate_proposals
+  version :
+    - checkpoint : Registe generate_proposals_v2 for adding the attribute of pixel_offset
+      action :
+        - add_attr : pixel_offset
+          comment : If true, im_shape pixel offset is 1.
+          default : "true"
+
 - op : greater_equal
   version :
     - checkpoint : Upgrade compare ops, add a new attribute [force_cpu]

paddle/phi/api/yaml/ops.yaml

@@ -780,6 +780,16 @@
     func : gelu
   backward : gelu_grad
 
+- op : generate_proposals
+  args : (Tensor scores, Tensor bbox_deltas, Tensor im_shape, Tensor anchors, Tensor variances, int pre_nms_top_n, int post_nms_top_n, float nms_thresh, float min_size, float eta, bool pixel_offset=true)
+  output : Tensor(rpn_rois), Tensor(rpn_roi_probs), Tensor(rpn_rois_num)
+  infer_meta :
+    func : GenerateProposalsV2InferMeta
+  kernel :
+    func : generate_proposals
+  optional : rpn_rois_num
+  data_type : anchors
+
 - op : grid_sample
   args : (Tensor x, Tensor grid, str mode = "bilinear", str padding_mode = "zeros", bool align_corners = true)
   output : Tensor(out)