fix doc, test=develop

paddle/fluid/API.spec

@@ -330,7 +330,7 @@ paddle.fluid.layers.polygon_box_transform (ArgSpec(args=['input', 'name'], varar
 paddle.fluid.layers.yolov3_loss (ArgSpec(args=['x', 'gtbox', 'gtlabel', 'anchors', 'anchor_mask', 'class_num', 'ignore_thresh', 'downsample_ratio', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '991e934c3e09abf0edec7c9c978b4691'))
 paddle.fluid.layers.box_clip (ArgSpec(args=['input', 'im_info', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '397e9e02b451d99c56e20f268fa03f2e'))
 paddle.fluid.layers.multiclass_nms (ArgSpec(args=['bboxes', 'scores', 'score_threshold', 'nms_top_k', 'keep_top_k', 'nms_threshold', 'normalized', 'nms_eta', 'background_label', 'name'], varargs=None, keywords=None, defaults=(0.3, True, 1.0, 0, None)), ('document', 'ca7d1107b6c5d2d6d8221039a220fde0'))
-paddle.fluid.layers.box_decoder_and_assign (ArgSpec(args=['prior_box', 'prior_box_var', 'target_box', 'box_score', 'box_clip'], varargs=None, keywords=None, defaults=None), ('document', 'e6daa972b52c6050d95bfaaee7b5289e'))
+paddle.fluid.layers.box_decoder_and_assign (ArgSpec(args=['prior_box', 'prior_box_var', 'target_box', 'box_score', 'box_clip', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'fb470052db88526a94a7e5de9d9b3a4c'))
 paddle.fluid.layers.accuracy (ArgSpec(args=['input', 'label', 'k', 'correct', 'total'], varargs=None, keywords=None, defaults=(1, None, None)), ('document', '9808534c12c5e739a10f73ebb0b4eafd'))
 paddle.fluid.layers.auc (ArgSpec(args=['input', 'label', 'curve', 'num_thresholds', 'topk', 'slide_steps'], varargs=None, keywords=None, defaults=('ROC', 4095, 1, 1)), ('document', 'e0e95334fce92d16c2d9db6e7caffc47'))
 paddle.fluid.layers.exponential_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', '98a5050bee8522fcea81aa795adaba51'))

paddle/fluid/operators/detection/box_decoder_and_assign_op.cc

@@ -152,6 +152,12 @@ and height respectively. Similarly, `px`, `py`, `pw`, `ph` denote the
 priorbox's (anchor) center coordinates, width and height. `pxv`, `pyv`, `pwv`,
 `phv` denote the variance of the priorbox and `ox`, `oy`, `ow`, `oh` denote the
 encoded/decoded coordinates, width and height.
+
+After box decode, the Assigning schema described below:
+
+For each priorbox, use the best non-background class's decoded values to 
+updata the priorbox locations and get outputassignbox. So, the shape of
+output_assign_box is the same as priorbox.
 )DOC");
   }
 };

python/paddle/fluid/layers/detection.py

@@ -2225,8 +2225,12 @@ def multiclass_nms(bboxes,
 
 
 @templatedoc()
-def box_decoder_and_assign(prior_box, prior_box_var, target_box, box_score,
-                           box_clip):
+def box_decoder_and_assign(prior_box,
+                           prior_box_var,
+                           target_box,
+                           box_score,
+                           box_clip,
+                           name=None):
     """
     ${comment}
     Args:
@@ -2234,6 +2238,7 @@ def box_decoder_and_assign(prior_box, prior_box_var, target_box, box_score,
         prior_box_var(${prior_box_var_type}): ${prior_box_var_comment}
         target_box(${target_box_type}): ${target_box_comment}
         box_score(${box_score_type}): ${box_score_comment}
+        name(str|None): The name of this operator
     Returns:
         output_box(${output_box_type}): ${output_box_comment}
         output_assign_box(${output_assign_box_type}): ${output_assign_box_comment}