Merge branch 'develop' of github.com:baidu/Paddle into feature/refine_doc_drnn

proto/ModelConfig.proto.m4

@@ -92,7 +92,7 @@ message PoolConfig {
   optional uint32 start = 4;
 
   // Defines the stride size between successive pooling squares.
-  required uint32 stride = 5;
+  required uint32 stride = 5 [default = 1];
 
   // The size of output feature map.
   required uint32 output_x = 6;
@@ -105,19 +105,19 @@ message PoolConfig {
   optional uint32 padding = 8 [default = 0];
 
   // if not set, use size_x
-  optional uint32 size_y = 9 [default = 0];
+  optional uint32 size_y = 9;
 
   // if not set, use stride
-  optional uint32 stride_y = 10 [default = 0];
+  optional uint32 stride_y = 10;
 
   // if not set, use output_x
-  optional uint32 output_y = 11 [default = 0];
+  optional uint32 output_y = 11;
 
   // if not set, use img_size
-  optional uint32 img_size_y = 12 [default = 0];
+  optional uint32 img_size_y = 12;
 
   // if not set, use padding
-  optional uint32 padding_y = 13 [default = 0];
+  optional uint32 padding_y = 13;
 }
 
 message SppConfig {

python/paddle/trainer/config_parser.py

@@ -592,6 +592,7 @@ class DotMulProjection(Projection):
     def calc_parameter_dims(self, input_size, output_size):
         return [1, output_size]
 
+
 # ScalingProjection
 @config_class
 class ScalingProjection(Projection):
@@ -808,16 +809,17 @@ class BilinearInterp(Cfg):
 # please refer to the comments in proto/ModelConfig.proto
 @config_class
 class Pool(Cfg):
-    def __init__(self,
+    def __init__(
+            self,
             pool_type,
             channels,
             size_x,
             size_y=None,
             img_width=None,
             start=None,
-                 stride=None,
+            stride=None,  # 1 by defalut in protobuf
             stride_y=None,
-                 padding=None,
+            padding=None,  # 0 by defalut in protobuf
             padding_y=None):
         self.add_keys(locals())
 
@@ -1114,11 +1116,11 @@ def parse_pool(pool, input_layer_name, pool_conf):
     if pool.padding is not None:
         pool_conf.padding = pool.padding
     pool_conf.padding_y = default(pool.padding_y, pool_conf.padding)
-        pool_conf.output_x = cnn_output_size(
-            pool_conf.img_size, pool_conf.size_x, pool_conf.padding,
-            pool_conf.stride, False)
-        pool_conf.output_y = cnn_output_size(
-            pool_conf.img_size_y, pool_conf.size_y, pool_conf.padding_y,
+    pool_conf.output_x = cnn_output_size(pool_conf.img_size, pool_conf.size_x,
+                                         pool_conf.padding, pool_conf.stride,
+                                         False)
+    pool_conf.output_y = cnn_output_size(pool_conf.img_size_y, pool_conf.size_y,
+                                         pool_conf.padding_y,
                                          pool_conf.stride_y, False)