fix RCNN model deploy infer (#2276)

dygraph/ppdet/modeling/heads/roi_extractor.py

@@ -79,7 +79,6 @@ class RoIAlign(object):
                     sampling_ratio=self.sampling_ratio,
                     rois_num=rois_num_dist[lvl],
                     aligned=self.aligned)
-                if roi_feat.shape[0] > 0:
                 rois_feat_list.append(roi_feat)
             rois_feat_shuffle = paddle.concat(rois_feat_list)
             rois_feat = paddle.gather(rois_feat_shuffle, restore_index)

dygraph/ppdet/modeling/post_process.py

@@ -85,9 +85,6 @@ class BBoxPostProcess(object):
             scale_y, scale_x = scale_factor[i][0], scale_factor[i][1]
             scale = paddle.concat([scale_x, scale_y, scale_x, scale_y])
             expand_scale = paddle.expand(scale, [bbox_num[i], 4])
-            # TODO: Because paddle.expand transform error when dygraph
-            # to static, use reshape to avoid mistakes.
-            expand_scale = paddle.reshape(expand_scale, [bbox_num[i], 4])
             origin_shape_list.append(expand_shape)
             scale_factor_list.append(expand_scale)
 
@@ -158,7 +155,7 @@ class MaskPostProcess(object):
         # TODO: support bs > 1 and mask output dtype is bool
         pred_result = paddle.zeros(
             [num_mask, origin_shape[0][0], origin_shape[0][1]], dtype='int32')
-        if bboxes.shape[0] == 0:
+        if bbox_num == 1 and bboxes[0][0] == -1:
             return pred_result
 
         # TODO: optimize chunk paste