Reformat nn.py

python/paddle/fluid/layers/nn.py

@@ -25,21 +25,74 @@ import utils
 import random
 
 __all__ = [
-    'fc', 'embedding', 'dynamic_lstm', 'dynamic_lstmp', 'dynamic_gru',
-    'gru_unit', 'linear_chain_crf', 'crf_decoding', 'cos_sim', 'cross_entropy',
-    'square_error_cost', 'chunk_eval', 'sequence_conv', 'conv2d', 'conv3d',
-    'sequence_pool', 'sequence_softmax', 'softmax', 'pool2d', 'pool3d',
-    'batch_norm', 'beam_search_decode', 'conv2d_transpose', 'conv3d_transpose',
-    'sequence_expand', 'lstm_unit', 'reduce_sum', 'reduce_mean', 'reduce_max',
-    'reduce_min', 'reduce_prod', 'sequence_first_step', 'sequence_last_step',
-    'dropout', 'split', 'ctc_greedy_decoder', 'edit_distance', 'l2_normalize',
-    'matmul', 'topk', 'warpctc', 'sequence_reshape', 'transpose', 'im2sequence',
-    'nce', 'beam_search', 'row_conv', 'multiplex', 'layer_norm',
-    'softmax_with_cross_entropy', 'smooth_l1', 'one_hot',
-    'autoincreased_step_counter', 'reshape', 'lod_reset', 'lrn', 'pad',
-    'label_smooth', 'roi_pool', 'dice_loss', 'image_resize',
-    'image_resize_short', 'resize_bilinear', 'gather', 'random_crop',
-    'mean_iou', 'relu', 'log'
+    'fc',
+    'embedding',
+    'dynamic_lstm',
+    'dynamic_lstmp',
+    'dynamic_gru',
+    'gru_unit',
+    'linear_chain_crf',
+    'crf_decoding',
+    'cos_sim',
+    'cross_entropy',
+    'square_error_cost',
+    'chunk_eval',
+    'sequence_conv',
+    'conv2d',
+    'conv3d',
+    'sequence_pool',
+    'sequence_softmax',
+    'softmax',
+    'pool2d',
+    'pool3d',
+    'batch_norm',
+    'beam_search_decode',
+    'conv2d_transpose',
+    'conv3d_transpose',
+    'sequence_expand',
+    'lstm_unit',
+    'reduce_sum',
+    'reduce_mean',
+    'reduce_max',
+    'reduce_min',
+    'reduce_prod',
+    'sequence_first_step',
+    'sequence_last_step',
+    'dropout',
+    'split',
+    'ctc_greedy_decoder',
+    'edit_distance',
+    'l2_normalize',
+    'matmul',
+    'topk',
+    'warpctc',
+    'sequence_reshape',
+    'transpose',
+    'im2sequence',
+    'nce',
+    'beam_search',
+    'row_conv',
+    'multiplex',
+    'layer_norm',
+    'softmax_with_cross_entropy',
+    'smooth_l1',
+    'one_hot',
+    'autoincreased_step_counter',
+    'reshape',
+    'lod_reset',
+    'lrn',
+    'pad',
+    'label_smooth',
+    'roi_pool',
+    'dice_loss',
+    'image_resize',
+    'image_resize_short',
+    'resize_bilinear',
+    'gather',
+    'random_crop',
+    'mean_iou',
+    'relu',
+    'log',
 ]