Add test for configuration and add doc.

doc/api/v2/config/layer.rst

@@ -445,6 +445,11 @@ smooth_l1_cost
 ..  autoclass:: paddle.v2.layer.smooth_l1_cost
     :noindex:
 
+multibox_loss
+--------------
+..  autoclass:: paddle.v2.layer.multibox_loss
+    :noindex:
+
 Check Layer
 ============
 
@@ -468,3 +473,11 @@ prelu
 --------
 ..  autoclass:: paddle.v2.layer.prelu
     :noindex:
+
+Detection output Layer
+======================
+
+detection_output
+---
+..  autoclass:: paddle.v2.layer.detection_output
+    :noindex:

python/paddle/trainer_config_helpers/tests/configs/file_list.sh

@@ -6,6 +6,6 @@ img_layers img_trans_layers util_layers simple_rnn_layers unused_layers test_cos
 test_rnn_group shared_fc shared_lstm shared_gru test_cost_layers_with_weight
 test_spp_layer test_bilinear_interp test_maxout test_bi_grumemory math_ops
 test_seq_concat_reshape test_pad test_smooth_l1 test_multiplex_layer
-test_prelu_layer test_row_conv)
+test_prelu_layer test_row_conv test_detection_output_layer test_multibox_loss_layer)
 
 export whole_configs=(test_split_datasource)

python/paddle/trainer_config_helpers/tests/configs/test_detection_output_layer.py

+from paddle.trainer_config_helpers import *
+
+settings(batch_size=1000, learning_rate=1e-5)
+
+input_loc = data_layer(name='input_loc', size=16, height=16, width=1)
+
+input_conf = data_layer(name='input_conf', size=8, height=1, width=8)
+
+priorbox = data_layer(name='priorbox', size=32, height=4, width=8)
+
+detout = detection_output_layer(
+    input_loc=input_loc,
+    input_conf=input_conf,
+    priorbox=priorbox,
+    num_classes=21,
+    nms_threshold=0.45,
+    nms_top_k=400,
+    keep_top_k=200,
+    confidence_threshold=0.01,
+    background_id=0,
+    name='test_detection_output')
+
+outputs(detout)

python/paddle/trainer_config_helpers/tests/configs/test_multibox_loss_layer.py

+from paddle.trainer_config_helpers import *
+
+settings(batch_size=1000, learning_rate=1e-5)
+
+input_loc = data_layer(name='input_loc', size=16, height=16, width=1)
+
+input_conf = data_layer(name='input_conf', size=8, height=1, width=8)
+
+priorbox = data_layer(name='priorbox', size=32, height=4, width=8)
+
+label = data_layer(name='label', size=24, height=4, width=6)
+
+multibox_loss = multibox_loss_layer(
+    input_loc=input_loc,
+    input_conf=input_conf,
+    priorbox=priorbox,
+    label=label,
+    num_classes=21,
+    overlap_threshold=0.5,
+    neg_pos_ratio=3.0,
+    neg_overlap=0.5,
+    background_id=0,
+    name='test_multibox_loss')
+
+outputs(multibox_loss)