revise the format of __all__ in layers.py

revise the format of all in layers.py
f35e0847 · guosheng · 23a8d015 · f35e0847
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内联并排

Showing with 98 addition and 27 deletion

python/paddle/trainer_config_helpers/layers.py python/paddle/trainer_config_helpers/layers.py +98 -27

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--- a/python/paddle/trainer_config_helpers/layers.py
+++ b/python/paddle/trainer_config_helpers/layers.py
@@ -31,33 +31,104 @@ except ImportError:
 import copy
 __all__ = [
-    'full_matrix_projection', 'AggregateLevel', 'ExpandLevel',
+    'full_matrix_projection',
-    'identity_projection', 'dotmul_projection', 'dotmul_operator',
+    'AggregateLevel',
-    'repeat_layer', 'seq_reshape_layer', 'table_projection', 'mixed_layer',
+    'ExpandLevel',
-    'data_layer', 'embedding_layer', 'fc_layer', 'grumemory', 'pooling_layer',
+    'identity_projection',
-    'lstmemory', 'last_seq', 'first_seq', 'cos_sim', 'hsigmoid',
+    'dotmul_projection',
-    'conv_projection', 'mse_cost', 'regression_cost', 'classification_cost',
+    'dotmul_operator',
-    'LayerOutput', 'img_conv_layer', 'img_pool_layer', 'batch_norm_layer',
+    'repeat_layer',
-    'img_cmrnorm_layer', 'addto_layer', 'concat_layer', 'seq_concat_layer',
+    'seq_reshape_layer',
-    'lstm_step_layer', 'recurrent_group', 'memory', 'StaticInput',
+    'table_projection',
-    'expand_layer', 'scaling_layer', 'scaling_projection', 'power_layer',
+    'mixed_layer',
-    'interpolation_layer', 'bilinear_interp_layer', 'trans_layer',
+    'data_layer',
-    'rotate_layer', 'sum_to_one_norm_layer', 'get_output_layer', 'LayerType',
+    'embedding_layer',
-    'context_projection', 'beam_search', 'maxid_layer', 'GeneratedInput',
+    'fc_layer',
-    'SubsequenceInput', 'gru_step_layer', 'gru_step_naive_layer',
+    'grumemory',
-    'recurrent_layer', 'BaseGeneratedInput', 'conv_operator',
+    'pooling_layer',
-    'conv_shift_layer', 'tensor_layer', 'selective_fc_layer',
+    'lstmemory',
-    'sampling_id_layer', 'slope_intercept_layer',
+    'last_seq',
-    'trans_full_matrix_projection', 'linear_comb_layer', 'convex_comb_layer',
+    'first_seq',
-    'ctc_layer', 'warp_ctc_layer', 'crf_layer', 'crf_decoding_layer',
+    'cos_sim',
-    'nce_layer', 'cross_entropy_with_selfnorm', 'cross_entropy',
+    'hsigmoid',
-    'multi_binary_label_cross_entropy', 'sum_cost', 'rank_cost', 'lambda_cost',
+    'conv_projection',
-    'huber_cost', 'block_expand_layer', 'maxout_layer', 'out_prod_layer',
+    'mse_cost',
-    'printer_layer', 'print_layer', 'priorbox_layer',
+    'regression_cost',
-    'cross_channel_norm_layer', 'multibox_loss_layer', 'detection_output_layer',
+    'classification_cost',
-    'spp_layer', 'pad_layer', 'eos_layer', 'smooth_l1_cost', 'layer_support',
+    'LayerOutput',
-    'multiplex_layer', 'row_conv_layer', 'dropout_layer', 'prelu_layer',
+    'img_conv_layer',
-    'gated_unit_layer', 'crop_layer', 'clip_layer'
+    'img_pool_layer',
+    'batch_norm_layer',
+    'img_cmrnorm_layer',
+    'addto_layer',
+    'concat_layer',
+    'seq_concat_layer',
+    'lstm_step_layer',
+    'recurrent_group',
+    'memory',
+    'StaticInput',
+    'expand_layer',
+    'scaling_layer',
+    'scaling_projection',
+    'power_layer',
+    'interpolation_layer',
+    'bilinear_interp_layer',
+    'trans_layer',
+    'rotate_layer',
+    'sum_to_one_norm_layer',
+    'get_output_layer',
+    'LayerType',
+    'context_projection',
+    'beam_search',
+    'maxid_layer',
+    'GeneratedInput',
+    'SubsequenceInput',
+    'gru_step_layer',
+    'gru_step_naive_layer',
+    'recurrent_layer',
+    'BaseGeneratedInput',
+    'conv_operator',
+    'conv_shift_layer',
+    'tensor_layer',
+    'selective_fc_layer',
+    'sampling_id_layer',
+    'slope_intercept_layer',
+    'trans_full_matrix_projection',
+    'linear_comb_layer',
+    'convex_comb_layer',
+    'ctc_layer',
+    'warp_ctc_layer',
+    'crf_layer',
+    'crf_decoding_layer',
+    'nce_layer',
+    'cross_entropy_with_selfnorm',
+    'cross_entropy',
+    'multi_binary_label_cross_entropy',
+    'sum_cost',
+    'rank_cost',
+    'lambda_cost',
+    'huber_cost',
+    'block_expand_layer',
+    'maxout_layer',
+    'out_prod_layer',
+    'printer_layer',
+    'print_layer',
+    'priorbox_layer',
+    'cross_channel_norm_layer',
+    'multibox_loss_layer',
+    'detection_output_layer',
+    'spp_layer',
+    'pad_layer',
+    'eos_layer',
+    'smooth_l1_cost',
+    'layer_support',
+    'multiplex_layer',
+    'row_conv_layer',
+    'dropout_layer',
+    'prelu_layer',
+    'gated_unit_layer',
+    'crop_layer',
+    'clip_layer',
 ]