Refine AvgPooling with excludeMode to make it compatible with the raw prototxt

proto/ModelConfig.proto

@@ -140,7 +140,7 @@ message PoolConfig {
   optional uint32 img_size_z = 17 [ default = 1 ];
   optional uint32 padding_z = 18 [ default = 1 ];
 
-  optional bool exclude_mode = 19 [ default = true ];
+  optional bool exclude_mode = 19;
 }
 
 message SppConfig {

python/paddle/trainer/config_parser.py

@@ -1262,8 +1262,8 @@ def parse_pool(pool, input_layer_name, pool_conf, ceil_mode, exclude_mode):
     pool_conf.output_y = cnn_output_size(pool_conf.img_size_y, pool_conf.size_y,
                                          pool_conf.padding_y,
                                          pool_conf.stride_y, not ceil_mode)
-
-    pool_conf.exclude_mode = exclude_mode
+    if exclude_mode != None:
+        pool_conf.exclude_mode = exclude_mode
 
 
 def parse_pool3d(pool, input_layer_name, pool_conf, ceil_mode):
@@ -2305,7 +2305,7 @@ class NormLayer(LayerBase):
 class PoolLayer(LayerBase):
     layer_type = 'pool'
 
-    def __init__(self, name, inputs, ceil_mode=True, exclude_mode=True,
+    def __init__(self, name, inputs, ceil_mode=True, exclude_mode=None,
                  **xargs):
         use_mkldnn = int(g_command_config_args.get("use_mkldnn", 0))
         if self.layer_type == "mkldnn_pool":

python/paddle/trainer_config_helpers/layers.py

@@ -2710,7 +2710,7 @@ def img_pool_layer(input,
                    stride_y=None,
                    padding_y=None,
                    ceil_mode=True,
-                   exclude_mode=True):
+                   exclude_mode=None):
     """
     Image pooling Layer.
 
@@ -2779,8 +2779,9 @@ def img_pool_layer(input,
                       be used.
     :type ceil_mode: bool
     :param exclude_mode: Whether to exclude the padding cells when calculating, but only 
-                         work when pool_type is AvgPooling. If use cudnn, use CudnnAvgPooling 
-                         or CudnnAvgInclPadPooling as pool_type to identify.
+                         work when pool_type is AvgPooling. If None, also exclude the padding 
+                         cells. If use cudnn, use CudnnAvgPooling or CudnnAvgInclPadPooling 
+                         as pool_type to identify the mode.
     :type exclude_mode: bool
     :return: LayerOutput object.
     :rtype: LayerOutput