add param_attr for nets (#6509)

python/paddle/v2/fluid/layers.py

@@ -1732,8 +1732,10 @@ def conv2d_transpose(input,
 
         h_in = input.shape[2]
         w_in = input.shape[3]
-        filter_size_h = output_size[0] - (h_in - 1) * stride[0] + 2 * padding[0]
-        filter_size_w = output_size[1] - (w_in - 1) * stride[1] + 2 * padding[1]
+        filter_size_h = output_size[0] - \
+            (h_in - 1) * stride[0] + 2 * padding[0]
+        filter_size_w = output_size[1] - \
+            (w_in - 1) * stride[1] + 2 * padding[1]
         filter_size = [filter_size_h, filter_size_w]
     elif isinstance(filter_size, int):
         filter_size = [filter_size, filter_size]

python/paddle/v2/fluid/nets.py

@@ -9,6 +9,7 @@ def simple_img_conv_pool(input,
                          pool_size,
                          pool_stride,
                          act,
+                         param_attr=None,
                          pool_type='max',
                          main_program=None,
                          startup_program=None):
@@ -16,6 +17,7 @@ def simple_img_conv_pool(input,
         input=input,
         num_filters=num_filters,
         filter_size=filter_size,
+        param_attr=param_attr,
         act=act,
         main_program=main_program,
         startup_program=startup_program)
@@ -36,6 +38,7 @@ def img_conv_group(input,
                    conv_padding=1,
                    conv_filter_size=3,
                    conv_act=None,
+                   param_attr=None,
                    conv_with_batchnorm=False,
                    conv_batchnorm_drop_rate=None,
                    pool_stride=1,
@@ -57,6 +60,7 @@ def img_conv_group(input,
 
     conv_padding = __extend_list__(conv_padding)
     conv_filter_size = __extend_list__(conv_filter_size)
+    param_attr = __extend_list__(param_attr)
     conv_with_batchnorm = __extend_list__(conv_with_batchnorm)
     conv_batchnorm_drop_rate = __extend_list__(conv_batchnorm_drop_rate)
 
@@ -70,6 +74,7 @@ def img_conv_group(input,
             num_filters=conv_num_filter[i],
             filter_size=conv_filter_size[i],
             padding=conv_padding[i],
+            param_attr=param_attr[i],
             act=local_conv_act,
             main_program=main_program,
             startup_program=startup_program)
@@ -101,6 +106,7 @@ def img_conv_group(input,
 def sequence_conv_pool(input,
                        num_filters,
                        filter_size,
+                       param_attr=None,
                        act="sigmoid",
                        pool_type="max",
                        main_program=None,
@@ -109,6 +115,7 @@ def sequence_conv_pool(input,
         input=input,
         num_filters=num_filters,
         filter_size=filter_size,
+        param_attr=param_attr,
         act=act,
         main_program=main_program,
         startup_program=startup_program)