From 4dada9c7ce40bb424ebea43ac57396d65995644f Mon Sep 17 00:00:00 2001
From: liaogang <liaogang@baidu.com>
Date: Wed, 9 Nov 2016 19:30:08 +0800
Subject: [PATCH] Delelte old protostr

---
 .../tests/configs/img_layers.protostr         | 176 -----
 .../tests/configs/last_first_seq.protostr     |  69 --
 .../tests/configs/layer_activations.protostr  | 423 ------------
 .../tests/configs/projections.protostr        | 315 ---------
 .../tests/configs/shared_fc.protostr          |   0
 .../tests/configs/shared_lstm.protostr        | 393 -----------
 .../tests/configs/simple_rnn_layers.protostr  | 418 -----------
 .../configs/test_bilinear_interp.protostr     | 125 ----
 .../tests/configs/test_cost_layers.protostr   | 289 --------
 .../test_cost_layers_with_weight.protostr     | 111 ---
 .../tests/configs/test_expand_layer.protostr  |  56 --
 .../tests/configs/test_fc.protostr            |  98 ---
 .../configs/test_grumemory_layer.protostr     |  51 --
 .../tests/configs/test_hsigmoid.protostr      |  62 --
 .../configs/test_lstmemory_layer.protostr     |  53 --
 .../tests/configs/test_maxout.protostr        |   0
 .../tests/configs/test_ntm_layers.protostr    | 225 ------
 .../tests/configs/test_print_layer.protostr   |  26 -
 .../tests/configs/test_rnn_group.protostr     | 650 ------------------
 .../configs/test_sequence_pooling.protostr    | 111 ---
 .../tests/configs/unused_layers.protostr      |  27 -
 .../tests/configs/util_layers.protostr        |  81 ---
 22 files changed, 3759 deletions(-)
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/img_layers.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/last_first_seq.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/layer_activations.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/projections.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/shared_fc.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/shared_lstm.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_fc.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_maxout.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_print_layer.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/unused_layers.protostr
 delete mode 100644 python/paddle/trainer_config_helpers/tests/configs/util_layers.protostr

diff --git a/python/paddle/trainer_config_helpers/tests/configs/img_layers.protostr b/python/paddle/trainer_config_helpers/tests/configs/img_layers.protostr
deleted file mode 100644
index 899171ff1d0..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/img_layers.protostr
+++ /dev/null
@@ -1,176 +0,0 @@
-type: "nn"
-layers {
-  name: "image"
-  type: "data"
-  size: 65536
-  active_type: ""
-}
-layers {
-  name: "__conv_0__"
-  type: "exconv"
-  size: 3297856
-  active_type: ""
-  inputs {
-    input_layer_name: "image"
-    input_parameter_name: "___conv_0__.w0"
-    conv_conf {
-      filter_size: 32
-      channels: 1
-      stride: 1
-      padding: 1
-      groups: 1
-      filter_channels: 1
-      output_x: 227
-      img_size: 256
-      caffe_mode: true
-      filter_size_y: 32
-      padding_y: 1
-      stride_y: 1
-    }
-  }
-  bias_parameter_name: "___conv_0__.wbias"
-  num_filters: 64
-  shared_biases: true
-}
-layers {
-  name: "__batch_norm_0__"
-  type: "batch_norm"
-  size: 3297856
-  active_type: "relu"
-  inputs {
-    input_layer_name: "__conv_0__"
-    input_parameter_name: "___batch_norm_0__.w0"
-    image_conf {
-      channels: 64
-      img_size: 227
-    }
-  }
-  inputs {
-    input_layer_name: "__conv_0__"
-    input_parameter_name: "___batch_norm_0__.w1"
-  }
-  inputs {
-    input_layer_name: "__conv_0__"
-    input_parameter_name: "___batch_norm_0__.w2"
-  }
-  bias_parameter_name: "___batch_norm_0__.wbias"
-  moving_average_fraction: 0.899999976158
-}
-layers {
-  name: "__crmnorm_0__"
-  type: "norm"
-  size: 3297856
-  active_type: ""
-  inputs {
-    input_layer_name: "__batch_norm_0__"
-    norm_conf {
-      norm_type: "cmrnorm-projection"
-      channels: 64
-      size: 32
-      scale: 0.000399999989895
-      pow: 0.75
-      output_x: 227
-      img_size: 227
-      blocked: false
-    }
-  }
-}
-layers {
-  name: "__pool_0__"
-  type: "pool"
-  size: 2458624
-  active_type: ""
-  inputs {
-    input_layer_name: "__conv_0__"
-    pool_conf {
-      pool_type: "max-projection"
-      channels: 64
-      size_x: 32
-      stride: 1
-      output_x: 196
-      img_size: 227
-      padding: 0
-      size_y: 32
-      stride_y: 1
-      output_y: 196
-      img_size_y: 227
-      padding_y: 0
-    }
-  }
-}
-parameters {
-  name: "___conv_0__.w0"
-  size: 65536
-  initial_mean: 0.0
-  initial_std: 0.0441941730678
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "___conv_0__.wbias"
-  size: 64
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 64
-  dims: 1
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "___batch_norm_0__.w0"
-  size: 64
-  initial_mean: 1.0
-  initial_std: 0.0
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "___batch_norm_0__.w1"
-  size: 64
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 64
-  initial_strategy: 0
-  initial_smart: false
-  is_static: true
-  is_shared: true
-}
-parameters {
-  name: "___batch_norm_0__.w2"
-  size: 64
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 64
-  initial_strategy: 0
-  initial_smart: false
-  is_static: true
-  is_shared: true
-}
-parameters {
-  name: "___batch_norm_0__.wbias"
-  size: 64
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 64
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "image"
-output_layer_names: "__pool_0__"
-output_layer_names: "__crmnorm_0__"
-sub_models {
-  name: "root"
-  layer_names: "image"
-  layer_names: "__conv_0__"
-  layer_names: "__batch_norm_0__"
-  layer_names: "__crmnorm_0__"
-  layer_names: "__pool_0__"
-  input_layer_names: "image"
-  output_layer_names: "__pool_0__"
-  output_layer_names: "__crmnorm_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.protostr b/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.protostr
deleted file mode 100644
index 7b2911f8e36..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.protostr
+++ /dev/null
@@ -1,69 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 30
-  active_type: ""
-}
-layers {
-  name: "__first_seq_0__"
-  type: "seqlastins"
-  size: 30
-  active_type: "linear"
-  inputs {
-    input_layer_name: "data"
-  }
-  select_first: true
-  trans_type: "seq"
-}
-layers {
-  name: "__first_seq_1__"
-  type: "seqlastins"
-  size: 30
-  active_type: "linear"
-  inputs {
-    input_layer_name: "data"
-  }
-  select_first: true
-  trans_type: "non-seq"
-}
-layers {
-  name: "__last_seq_0__"
-  type: "seqlastins"
-  size: 30
-  active_type: "linear"
-  inputs {
-    input_layer_name: "data"
-  }
-  trans_type: "seq"
-}
-layers {
-  name: "__last_seq_1__"
-  type: "seqlastins"
-  size: 30
-  active_type: "linear"
-  inputs {
-    input_layer_name: "data"
-  }
-  trans_type: "non-seq"
-}
-input_layer_names: "data"
-output_layer_names: "__first_seq_0__"
-output_layer_names: "__first_seq_1__"
-output_layer_names: "__last_seq_0__"
-output_layer_names: "__last_seq_1__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "__first_seq_0__"
-  layer_names: "__first_seq_1__"
-  layer_names: "__last_seq_0__"
-  layer_names: "__last_seq_1__"
-  input_layer_names: "data"
-  output_layer_names: "__first_seq_0__"
-  output_layer_names: "__first_seq_1__"
-  output_layer_names: "__last_seq_0__"
-  output_layer_names: "__last_seq_1__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/layer_activations.protostr b/python/paddle/trainer_config_helpers/tests/configs/layer_activations.protostr
deleted file mode 100644
index 8ae2421727e..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/layer_activations.protostr
+++ /dev/null
@@ -1,423 +0,0 @@
-type: "nn"
-layers {
-  name: "input"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "layer_0"
-  type: "fc"
-  size: 100
-  active_type: "tanh"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_0.w0"
-  }
-  bias_parameter_name: "_layer_0.wbias"
-}
-layers {
-  name: "layer_1"
-  type: "fc"
-  size: 100
-  active_type: "sigmoid"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_1.w0"
-  }
-  bias_parameter_name: "_layer_1.wbias"
-}
-layers {
-  name: "layer_2"
-  type: "fc"
-  size: 100
-  active_type: "softmax"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_2.w0"
-  }
-  bias_parameter_name: "_layer_2.wbias"
-}
-layers {
-  name: "layer_3"
-  type: "fc"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_3.w0"
-  }
-  bias_parameter_name: "_layer_3.wbias"
-}
-layers {
-  name: "layer_4"
-  type: "fc"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_4.w0"
-  }
-  bias_parameter_name: "_layer_4.wbias"
-}
-layers {
-  name: "layer_5"
-  type: "fc"
-  size: 100
-  active_type: "exponential"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_5.w0"
-  }
-  bias_parameter_name: "_layer_5.wbias"
-}
-layers {
-  name: "layer_6"
-  type: "fc"
-  size: 100
-  active_type: "relu"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_6.w0"
-  }
-  bias_parameter_name: "_layer_6.wbias"
-}
-layers {
-  name: "layer_7"
-  type: "fc"
-  size: 100
-  active_type: "brelu"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_7.w0"
-  }
-  bias_parameter_name: "_layer_7.wbias"
-}
-layers {
-  name: "layer_8"
-  type: "fc"
-  size: 100
-  active_type: "softrelu"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_8.w0"
-  }
-  bias_parameter_name: "_layer_8.wbias"
-}
-layers {
-  name: "layer_9"
-  type: "fc"
-  size: 100
-  active_type: "stanh"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_9.w0"
-  }
-  bias_parameter_name: "_layer_9.wbias"
-}
-layers {
-  name: "layer_10"
-  type: "fc"
-  size: 100
-  active_type: "abs"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_10.w0"
-  }
-  bias_parameter_name: "_layer_10.wbias"
-}
-layers {
-  name: "layer_11"
-  type: "fc"
-  size: 100
-  active_type: "square"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "_layer_11.w0"
-  }
-  bias_parameter_name: "_layer_11.wbias"
-}
-parameters {
-  name: "_layer_0.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_0.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_1.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_1.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_2.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_2.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_3.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_3.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_4.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_4.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_5.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_5.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_6.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_6.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_7.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_7.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_8.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_8.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_9.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_9.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_10.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_10.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-parameters {
-  name: "_layer_11.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "_layer_11.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "input"
-output_layer_names: "layer_0"
-output_layer_names: "layer_1"
-output_layer_names: "layer_2"
-output_layer_names: "layer_3"
-output_layer_names: "layer_4"
-output_layer_names: "layer_5"
-output_layer_names: "layer_6"
-output_layer_names: "layer_7"
-output_layer_names: "layer_8"
-output_layer_names: "layer_9"
-output_layer_names: "layer_10"
-output_layer_names: "layer_11"
-sub_models {
-  name: "root"
-  layer_names: "input"
-  layer_names: "layer_0"
-  layer_names: "layer_1"
-  layer_names: "layer_2"
-  layer_names: "layer_3"
-  layer_names: "layer_4"
-  layer_names: "layer_5"
-  layer_names: "layer_6"
-  layer_names: "layer_7"
-  layer_names: "layer_8"
-  layer_names: "layer_9"
-  layer_names: "layer_10"
-  layer_names: "layer_11"
-  input_layer_names: "input"
-  output_layer_names: "layer_0"
-  output_layer_names: "layer_1"
-  output_layer_names: "layer_2"
-  output_layer_names: "layer_3"
-  output_layer_names: "layer_4"
-  output_layer_names: "layer_5"
-  output_layer_names: "layer_6"
-  output_layer_names: "layer_7"
-  output_layer_names: "layer_8"
-  output_layer_names: "layer_9"
-  output_layer_names: "layer_10"
-  output_layer_names: "layer_11"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/projections.protostr b/python/paddle/trainer_config_helpers/tests/configs/projections.protostr
deleted file mode 100644
index a901af6b424..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/projections.protostr
+++ /dev/null
@@ -1,315 +0,0 @@
-type: "nn"
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-  type: "data"
-  size: 100
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-  type: "mixed"
-  size: 256
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-      output_size: 256
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-      trainable_padding: true
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-  inputs {
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-  inputs {
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-  operator_confs {
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-    input_indices: 0
-    input_indices: 1
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-    input_sizes: 100
-    output_size: 100
-    dotmul_scale: 1.0
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-layers {
-  name: "img"
-  type: "data"
-  size: 1024
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-layers {
-  name: "filter"
-  type: "data"
-  size: 576
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-  inputs {
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-  inputs {
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-    input_sizes: 576
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-      img_size: 32
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-input_layer_names: "test"
-input_layer_names: "img"
-input_layer_names: "filter"
-output_layer_names: "__mixed_7__"
-sub_models {
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-  layer_names: "test"
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diff --git a/python/paddle/trainer_config_helpers/tests/configs/shared_fc.protostr b/python/paddle/trainer_config_helpers/tests/configs/shared_fc.protostr
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.protostr b/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.protostr
deleted file mode 100644
index 26eed43a459..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.protostr
+++ /dev/null
@@ -1,393 +0,0 @@
-type: "recurrent_nn"
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-layers {
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-layers {
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-layers {
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-layers {
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-  type: "lstm_step"
-  size: 100
-  active_type: "tanh"
-  inputs {
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-  inputs {
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-  bias_parameter_name: "lstm_bias"
-  active_gate_type: "sigmoid"
-  active_state_type: "sigmoid"
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-layers {
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-  type: "get_output"
-  size: 100
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-    input_layer_argument: "state"
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-layers {
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-  type: "gather_agent"
-  size: 100
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-layers {
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-layers {
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-layers {
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-layers {
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-      input_size: 100
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-  bias_parameter_name: "lstm_bias"
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-layers {
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-  type: "get_output"
-  size: 100
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-  inputs {
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-    input_layer_argument: "state"
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-layers {
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-  type: "gather_agent"
-  size: 100
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-layers {
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-  type: "seqlastins"
-  size: 100
-  active_type: "linear"
-  inputs {
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-  trans_type: "non-seq"
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-layers {
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-  size: 100
-  active_type: "linear"
-  inputs {
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-layers {
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-  type: "fc"
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-  active_type: "softmax"
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-layers {
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-  type: "data"
-  size: 10
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-layers {
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-  type: "multi-class-cross-entropy"
-  size: 1
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-  inputs {
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-  inputs {
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-  coeff: 1.0
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-parameters {
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-parameters {
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-parameters {
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-input_layer_names: "data_a"
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-output_layer_names: "__cost_0__"
-evaluators {
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-  type: "classification_error"
-  input_layers: "__fc_layer_0__"
-  input_layers: "label"
-}
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-  layer_names: "__lstm_group_0___state@__lstm_group_0___recurrent_group"
-  is_recurrent_layer_group: true
-  reversed: false
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-  is_recurrent_layer_group: true
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diff --git a/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.protostr b/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.protostr
deleted file mode 100644
index 57445243bd0..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.protostr
+++ /dev/null
@@ -1,418 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 200
-  active_type: ""
-}
-layers {
-  name: "__fc_layer_0__"
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diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.protostr
deleted file mode 100644
index 278088d4abd..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.protostr
+++ /dev/null
@@ -1,125 +0,0 @@
-type: "nn"
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diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.protostr
deleted file mode 100644
index c37586f4068..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.protostr
+++ /dev/null
@@ -1,289 +0,0 @@
-type: "nn"
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-  layer_names: "label"
-  layer_names: "__rank_cost_0__"
-  layer_names: "list_feature"
-  layer_names: "list_scores"
-  layer_names: "__lambda_cost_0__"
-  layer_names: "__cross_entropy_0__"
-  layer_names: "__cross_entropy_with_selfnorm_0__"
-  layer_names: "huber_probs"
-  layer_names: "huber_label"
-  layer_names: "__huber_cost_0__"
-  layer_names: "__multi_binary_label_cross_entropy_0__"
-  input_layer_names: "input"
-  input_layer_names: "labels"
-  input_layer_names: "crf_label"
-  input_layer_names: "left"
-  input_layer_names: "right"
-  input_layer_names: "label"
-  input_layer_names: "list_feature"
-  input_layer_names: "list_scores"
-  input_layer_names: "probs"
-  input_layer_names: "xe-label"
-  input_layer_names: "huber_probs"
-  input_layer_names: "huber_label"
-  output_layer_names: "__ctc_layer_0__"
-  output_layer_names: "__crf_layer_0__"
-  output_layer_names: "__rank_cost_0__"
-  output_layer_names: "__lambda_cost_0__"
-  output_layer_names: "__cross_entropy_0__"
-  output_layer_names: "__cross_entropy_with_selfnorm_0__"
-  output_layer_names: "__huber_cost_0__"
-  output_layer_names: "__multi_binary_label_cross_entropy_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.protostr
deleted file mode 100644
index de58f5c6496..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.protostr
+++ /dev/null
@@ -1,111 +0,0 @@
-type: "nn"
-layers {
-  name: "input"
-  type: "data"
-  size: 300
-  active_type: ""
-}
-layers {
-  name: "label"
-  type: "data"
-  size: 1
-  active_type: ""
-}
-layers {
-  name: "weight"
-  type: "data"
-  size: 1
-  active_type: ""
-}
-layers {
-  name: "__fc_layer_0__"
-  type: "fc"
-  size: 10
-  active_type: "softmax"
-  inputs {
-    input_layer_name: "input"
-    input_parameter_name: "___fc_layer_0__.w0"
-  }
-  bias_parameter_name: "___fc_layer_0__.wbias"
-}
-layers {
-  name: "__cost_0__"
-  type: "multi-class-cross-entropy"
-  size: 1
-  active_type: ""
-  inputs {
-    input_layer_name: "__fc_layer_0__"
-  }
-  inputs {
-    input_layer_name: "label"
-  }
-  inputs {
-    input_layer_name: "weight"
-  }
-  coeff: 1.0
-}
-layers {
-  name: "__regression_cost_0__"
-  type: "square_error"
-  size: 1
-  active_type: ""
-  inputs {
-    input_layer_name: "__fc_layer_0__"
-  }
-  inputs {
-    input_layer_name: "label"
-  }
-  inputs {
-    input_layer_name: "weight"
-  }
-  coeff: 1.0
-}
-parameters {
-  name: "___fc_layer_0__.w0"
-  size: 3000
-  initial_mean: 0.0
-  initial_std: 0.0577350258827
-  dims: 300
-  dims: 10
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "___fc_layer_0__.wbias"
-  size: 10
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 10
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "input"
-input_layer_names: "label"
-input_layer_names: "weight"
-output_layer_names: "__cost_0__"
-output_layer_names: "__regression_cost_0__"
-evaluators {
-  name: "classification_error_evaluator"
-  type: "classification_error"
-  input_layers: "__fc_layer_0__"
-  input_layers: "label"
-  input_layers: "weight"
-}
-sub_models {
-  name: "root"
-  layer_names: "input"
-  layer_names: "label"
-  layer_names: "weight"
-  layer_names: "__fc_layer_0__"
-  layer_names: "__cost_0__"
-  layer_names: "__regression_cost_0__"
-  input_layer_names: "input"
-  input_layer_names: "label"
-  input_layer_names: "weight"
-  output_layer_names: "__cost_0__"
-  output_layer_names: "__regression_cost_0__"
-  evaluator_names: "classification_error_evaluator"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.protostr
deleted file mode 100644
index f4b36052264..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.protostr
+++ /dev/null
@@ -1,56 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 30
-  active_type: ""
-}
-layers {
-  name: "data_seq"
-  type: "data"
-  size: 30
-  active_type: ""
-}
-layers {
-  name: "__expand_layer_0__"
-  type: "expand"
-  size: 30
-  active_type: ""
-  inputs {
-    input_layer_name: "data"
-  }
-  inputs {
-    input_layer_name: "data_seq"
-  }
-  trans_type: "seq"
-}
-layers {
-  name: "__expand_layer_1__"
-  type: "expand"
-  size: 30
-  active_type: ""
-  inputs {
-    input_layer_name: "data"
-  }
-  inputs {
-    input_layer_name: "data_seq"
-  }
-  trans_type: "non-seq"
-}
-input_layer_names: "data"
-input_layer_names: "data_seq"
-output_layer_names: "__expand_layer_0__"
-output_layer_names: "__expand_layer_1__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "data_seq"
-  layer_names: "__expand_layer_0__"
-  layer_names: "__expand_layer_1__"
-  input_layer_names: "data"
-  input_layer_names: "data_seq"
-  output_layer_names: "__expand_layer_0__"
-  output_layer_names: "__expand_layer_1__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_fc.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_fc.protostr
deleted file mode 100644
index 80b01246ba9..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_fc.protostr
+++ /dev/null
@@ -1,98 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "__trans_layer_0__"
-  type: "trans"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "data"
-  }
-}
-layers {
-  name: "__fc_layer_0__"
-  type: "fc"
-  size: 100
-  active_type: "tanh"
-  inputs {
-    input_layer_name: "__trans_layer_0__"
-    input_parameter_name: "___fc_layer_0__.w0"
-  }
-}
-layers {
-  name: "mask"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "__selective_fc_layer_0__"
-  type: "selective_fc"
-  size: 100
-  active_type: "sigmoid"
-  inputs {
-    input_layer_name: "data"
-    input_parameter_name: "___selective_fc_layer_0__.w0"
-  }
-  inputs {
-    input_layer_name: "mask"
-  }
-  bias_parameter_name: "___selective_fc_layer_0__.wbias"
-  selective_fc_pass_generation: false
-  has_selected_colums: true
-  selective_fc_full_mul_ratio: 0.019999999553
-}
-parameters {
-  name: "___fc_layer_0__.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "___selective_fc_layer_0__.w0"
-  size: 10000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-  is_sparse: false
-}
-parameters {
-  name: "___selective_fc_layer_0__.wbias"
-  size: 100
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 100
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "data"
-input_layer_names: "mask"
-output_layer_names: "__fc_layer_0__"
-output_layer_names: "__selective_fc_layer_0__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "__trans_layer_0__"
-  layer_names: "__fc_layer_0__"
-  layer_names: "mask"
-  layer_names: "__selective_fc_layer_0__"
-  input_layer_names: "data"
-  input_layer_names: "mask"
-  output_layer_names: "__fc_layer_0__"
-  output_layer_names: "__selective_fc_layer_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.protostr
deleted file mode 100644
index 81577910ccf..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.protostr
+++ /dev/null
@@ -1,51 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 120
-  active_type: ""
-}
-layers {
-  name: "__gru_0__"
-  type: "gated_recurrent"
-  size: 40
-  active_type: "sigmoid"
-  inputs {
-    input_layer_name: "data"
-    input_parameter_name: "___gru_0__.w0"
-  }
-  bias_parameter_name: "___gru_0__.wbias"
-  reversed: true
-  active_gate_type: "tanh"
-}
-parameters {
-  name: "___gru_0__.w0"
-  size: 4800
-  initial_mean: 0.0
-  initial_std: 0.158113881946
-  dims: 40
-  dims: 120
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "___gru_0__.wbias"
-  size: 120
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 120
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "data"
-output_layer_names: "__gru_0__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "__gru_0__"
-  input_layer_names: "data"
-  output_layer_names: "__gru_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.protostr
deleted file mode 100644
index e8cc61b8c54..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.protostr
+++ /dev/null
@@ -1,62 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "label"
-  type: "data"
-  size: 10
-  active_type: ""
-}
-layers {
-  name: "__hsigmoid_0__"
-  type: "hsigmoid"
-  size: 1
-  active_type: ""
-  inputs {
-    input_layer_name: "data"
-    input_parameter_name: "___hsigmoid_0__.w0"
-  }
-  inputs {
-    input_layer_name: "label"
-  }
-  bias_parameter_name: "___hsigmoid_0__.wbias"
-  num_classes: 10
-}
-parameters {
-  name: "___hsigmoid_0__.w0"
-  size: 900
-  initial_mean: 0.0
-  initial_std: 0.333333343267
-  dims: 9
-  dims: 100
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "___hsigmoid_0__.wbias"
-  size: 9
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 9
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "data"
-input_layer_names: "label"
-output_layer_names: "__hsigmoid_0__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "label"
-  layer_names: "__hsigmoid_0__"
-  input_layer_names: "data"
-  input_layer_names: "label"
-  output_layer_names: "__hsigmoid_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.protostr
deleted file mode 100644
index 8341cd26847..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.protostr
+++ /dev/null
@@ -1,53 +0,0 @@
-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 128
-  active_type: ""
-}
-layers {
-  name: "__lstmemory_0__"
-  type: "lstmemory"
-  size: 32
-  active_type: "tanh"
-  inputs {
-    input_layer_name: "data"
-    input_parameter_name: "___lstmemory_0__.w0"
-  }
-  bias_parameter_name: "___lstmemory_0__.wbias"
-  reversed: true
-  active_gate_type: "tanh"
-  active_state_type: "tanh"
-}
-parameters {
-  name: "___lstmemory_0__.w0"
-  size: 4096
-  initial_mean: 0.0
-  initial_std: 0.176776692271
-  dims: 32
-  dims: 32
-  dims: 4
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "___lstmemory_0__.wbias"
-  size: 224
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 224
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "data"
-output_layer_names: "__lstmemory_0__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "__lstmemory_0__"
-  input_layer_names: "data"
-  output_layer_names: "__lstmemory_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_maxout.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_maxout.protostr
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.protostr
deleted file mode 100644
index 44400e2c3a2..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.protostr
+++ /dev/null
@@ -1,225 +0,0 @@
-type: "nn"
-layers {
-  name: "w"
-  type: "data"
-  size: 1
-  active_type: ""
-}
-layers {
-  name: "a"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "b"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "c"
-  type: "data"
-  size: 200
-  active_type: ""
-}
-layers {
-  name: "d"
-  type: "data"
-  size: 31
-  active_type: ""
-}
-layers {
-  name: "__interpolation_layer_0__"
-  type: "interpolation"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "w"
-  }
-  inputs {
-    input_layer_name: "a"
-  }
-  inputs {
-    input_layer_name: "b"
-  }
-}
-layers {
-  name: "__power_layer_0__"
-  type: "power"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "w"
-  }
-  inputs {
-    input_layer_name: "a"
-  }
-}
-layers {
-  name: "__scaling_layer_0__"
-  type: "scaling"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "w"
-  }
-  inputs {
-    input_layer_name: "a"
-  }
-}
-layers {
-  name: "__cos_sim_0__"
-  type: "cos"
-  size: 1
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-  inputs {
-    input_layer_name: "b"
-  }
-  cos_scale: 5.0
-}
-layers {
-  name: "__cos_sim_1__"
-  type: "cos_vm"
-  size: 2
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-  inputs {
-    input_layer_name: "c"
-  }
-  cos_scale: 5.0
-}
-layers {
-  name: "__sum_to_one_norm_layer_0__"
-  type: "sum_to_one_norm"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-}
-layers {
-  name: "__conv_shift_layer_0__"
-  type: "conv_shift"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-  inputs {
-    input_layer_name: "d"
-  }
-}
-layers {
-  name: "__tensor_layer_0__"
-  type: "tensor"
-  size: 1000
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-    input_parameter_name: "___tensor_layer_0__.w0"
-  }
-  inputs {
-    input_layer_name: "b"
-  }
-  bias_parameter_name: "___tensor_layer_0__.wbias"
-}
-layers {
-  name: "__slope_intercept_layer_0__"
-  type: "slope_intercept"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-  slope: 0.699999988079
-  intercept: 0.899999976158
-}
-layers {
-  name: "__linear_comb_layer_0__"
-  type: "convex_comb"
-  size: 2
-  active_type: ""
-  inputs {
-    input_layer_name: "b"
-  }
-  inputs {
-    input_layer_name: "c"
-  }
-}
-parameters {
-  name: "___tensor_layer_0__.w0"
-  size: 10000000
-  initial_mean: 0.0
-  initial_std: 0.10000000149
-  dims: 100
-  dims: 100
-  dims: 1000
-  initial_strategy: 0
-  initial_smart: true
-}
-parameters {
-  name: "___tensor_layer_0__.wbias"
-  size: 1000
-  initial_mean: 0.0
-  initial_std: 0.0
-  dims: 1
-  dims: 1000
-  initial_strategy: 0
-  initial_smart: false
-}
-input_layer_names: "w"
-input_layer_names: "a"
-input_layer_names: "b"
-input_layer_names: "c"
-input_layer_names: "d"
-output_layer_names: "__interpolation_layer_0__"
-output_layer_names: "__power_layer_0__"
-output_layer_names: "__scaling_layer_0__"
-output_layer_names: "__cos_sim_0__"
-output_layer_names: "__cos_sim_1__"
-output_layer_names: "__sum_to_one_norm_layer_0__"
-output_layer_names: "__conv_shift_layer_0__"
-output_layer_names: "__tensor_layer_0__"
-output_layer_names: "__slope_intercept_layer_0__"
-output_layer_names: "__linear_comb_layer_0__"
-sub_models {
-  name: "root"
-  layer_names: "w"
-  layer_names: "a"
-  layer_names: "b"
-  layer_names: "c"
-  layer_names: "d"
-  layer_names: "__interpolation_layer_0__"
-  layer_names: "__power_layer_0__"
-  layer_names: "__scaling_layer_0__"
-  layer_names: "__cos_sim_0__"
-  layer_names: "__cos_sim_1__"
-  layer_names: "__sum_to_one_norm_layer_0__"
-  layer_names: "__conv_shift_layer_0__"
-  layer_names: "__tensor_layer_0__"
-  layer_names: "__slope_intercept_layer_0__"
-  layer_names: "__linear_comb_layer_0__"
-  input_layer_names: "w"
-  input_layer_names: "a"
-  input_layer_names: "b"
-  input_layer_names: "c"
-  input_layer_names: "d"
-  output_layer_names: "__interpolation_layer_0__"
-  output_layer_names: "__power_layer_0__"
-  output_layer_names: "__scaling_layer_0__"
-  output_layer_names: "__cos_sim_0__"
-  output_layer_names: "__cos_sim_1__"
-  output_layer_names: "__sum_to_one_norm_layer_0__"
-  output_layer_names: "__conv_shift_layer_0__"
-  output_layer_names: "__tensor_layer_0__"
-  output_layer_names: "__slope_intercept_layer_0__"
-  output_layer_names: "__linear_comb_layer_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.protostr
deleted file mode 100644
index c402aff174a..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.protostr
+++ /dev/null
@@ -1,26 +0,0 @@
-type: "nn"
-layers {
-  name: "input"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "__print_0__"
-  type: "print"
-  active_type: ""
-  inputs {
-    input_layer_name: "input"
-  }
-}
-input_layer_names: "input"
-output_layer_names: "input"
-sub_models {
-  name: "root"
-  layer_names: "input"
-  layer_names: "__print_0__"
-  input_layer_names: "input"
-  output_layer_names: "input"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.protostr
deleted file mode 100644
index dfb5ce20a31..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.protostr
+++ /dev/null
@@ -1,650 +0,0 @@
-type: "recurrent_nn"
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-  type: "data"
-  size: 100
-  active_type: ""
-}
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-  name: "sub_seq_input"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "label"
-  type: "data"
-  size: 1
-  active_type: ""
-}
-layers {
-  name: "__mixed_0__"
-  type: "mixed"
-  size: 400
-  active_type: ""
-  inputs {
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-    input_parameter_name: "___mixed_0__.w0"
-    proj_conf {
-      type: "fc"
-      name: "___mixed_0__.w0"
-      input_size: 100
-      output_size: 400
-    }
-  }
-}
-layers {
-  name: "__mixed_1__"
-  type: "mixed"
-  size: 300
-  active_type: ""
-  inputs {
-    input_layer_name: "seq_input"
-    input_parameter_name: "___mixed_1__.w0"
-    proj_conf {
-      type: "fc"
-      name: "___mixed_1__.w0"
-      input_size: 100
-      output_size: 300
-    }
-  }
-}
-layers {
-  name: "__recurrent_group_0__"
-  type: "recurrent_layer_group"
-  active_type: ""
-}
-layers {
-  name: "seq_input@__recurrent_group_0__"
-  type: "scatter_agent"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "rnn_forward+delay1@__recurrent_group_0__"
-  type: "agent"
-  size: 200
-  active_type: ""
-}
-layers {
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-  active_type: "tanh"
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-    input_parameter_name: "_rnn_forward@__recurrent_group_0__.w0"
-  }
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-    input_parameter_name: "_rnn_forward@__recurrent_group_0__.w1"
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-}
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-  size: 100
-  active_type: ""
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-layers {
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-  type: "agent"
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-  inputs {
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-    layer_name: "__gru_group_0__@__gru_group_0___recurrent_group"
-    link_name: "__gru_group_0__"
-    has_subseq: false
-  }
-  target_inlinkid: -1
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.protostr b/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.protostr
deleted file mode 100644
index 1999c006d23..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.protostr
+++ /dev/null
@@ -1,111 +0,0 @@
-type: "nn"
-layers {
-  name: "dat_in"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "__seq_pooling_0__"
-  type: "max"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  trans_type: "seq"
-}
-layers {
-  name: "__seq_pooling_1__"
-  type: "max"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  trans_type: "non-seq"
-}
-layers {
-  name: "__seq_pooling_2__"
-  type: "average"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  average_strategy: "average"
-  trans_type: "seq"
-}
-layers {
-  name: "__seq_pooling_3__"
-  type: "average"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  average_strategy: "average"
-  trans_type: "non-seq"
-}
-layers {
-  name: "__seq_pooling_4__"
-  type: "average"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  average_strategy: "sum"
-  trans_type: "seq"
-}
-layers {
-  name: "__seq_pooling_5__"
-  type: "average"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  average_strategy: "sum"
-  trans_type: "non-seq"
-}
-layers {
-  name: "__seq_pooling_6__"
-  type: "max"
-  size: 100
-  active_type: "linear"
-  inputs {
-    input_layer_name: "dat_in"
-  }
-  output_max_index: true
-  trans_type: "non-seq"
-}
-input_layer_names: "dat_in"
-output_layer_names: "__seq_pooling_0__"
-output_layer_names: "__seq_pooling_1__"
-output_layer_names: "__seq_pooling_2__"
-output_layer_names: "__seq_pooling_3__"
-output_layer_names: "__seq_pooling_4__"
-output_layer_names: "__seq_pooling_5__"
-output_layer_names: "__seq_pooling_6__"
-sub_models {
-  name: "root"
-  layer_names: "dat_in"
-  layer_names: "__seq_pooling_0__"
-  layer_names: "__seq_pooling_1__"
-  layer_names: "__seq_pooling_2__"
-  layer_names: "__seq_pooling_3__"
-  layer_names: "__seq_pooling_4__"
-  layer_names: "__seq_pooling_5__"
-  layer_names: "__seq_pooling_6__"
-  input_layer_names: "dat_in"
-  output_layer_names: "__seq_pooling_0__"
-  output_layer_names: "__seq_pooling_1__"
-  output_layer_names: "__seq_pooling_2__"
-  output_layer_names: "__seq_pooling_3__"
-  output_layer_names: "__seq_pooling_4__"
-  output_layer_names: "__seq_pooling_5__"
-  output_layer_names: "__seq_pooling_6__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/unused_layers.protostr b/python/paddle/trainer_config_helpers/tests/configs/unused_layers.protostr
deleted file mode 100644
index 89ed28406e5..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/unused_layers.protostr
+++ /dev/null
@@ -1,27 +0,0 @@
-type: "nn"
-layers {
-  name: "probs"
-  type: "data"
-  size: 100
-  active_type: ""
-}
-layers {
-  name: "__sampling_id_layer_0__"
-  type: "sampling_id"
-  size: 100
-  active_type: ""
-  inputs {
-    input_layer_name: "probs"
-  }
-}
-input_layer_names: "probs"
-output_layer_names: "__sampling_id_layer_0__"
-sub_models {
-  name: "root"
-  layer_names: "probs"
-  layer_names: "__sampling_id_layer_0__"
-  input_layer_names: "probs"
-  output_layer_names: "__sampling_id_layer_0__"
-  is_recurrent_layer_group: false
-}
-
diff --git a/python/paddle/trainer_config_helpers/tests/configs/util_layers.protostr b/python/paddle/trainer_config_helpers/tests/configs/util_layers.protostr
deleted file mode 100644
index d0ad3881650..00000000000
--- a/python/paddle/trainer_config_helpers/tests/configs/util_layers.protostr
+++ /dev/null
@@ -1,81 +0,0 @@
-type: "nn"
-layers {
-  name: "a"
-  type: "data"
-  size: 10
-  active_type: ""
-}
-layers {
-  name: "b"
-  type: "data"
-  size: 10
-  active_type: ""
-}
-layers {
-  name: "__addto_0__"
-  type: "addto"
-  size: 10
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-  inputs {
-    input_layer_name: "b"
-  }
-}
-layers {
-  name: "__concat_0__"
-  type: "concat"
-  size: 20
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-  }
-  inputs {
-    input_layer_name: "b"
-  }
-}
-layers {
-  name: "__concat_1__"
-  type: "concat2"
-  size: 20
-  active_type: ""
-  inputs {
-    input_layer_name: "a"
-    proj_conf {
-      type: "identity"
-      name: "___concat_1__.w0"
-      input_size: 10
-      output_size: 10
-    }
-  }
-  inputs {
-    input_layer_name: "b"
-    proj_conf {
-      type: "identity"
-      name: "___concat_1__.w1"
-      input_size: 10
-      output_size: 10
-    }
-  }
-}
-input_layer_names: "a"
-input_layer_names: "b"
-output_layer_names: "__addto_0__"
-output_layer_names: "__concat_0__"
-output_layer_names: "__concat_1__"
-sub_models {
-  name: "root"
-  layer_names: "a"
-  layer_names: "b"
-  layer_names: "__addto_0__"
-  layer_names: "__concat_0__"
-  layer_names: "__concat_1__"
-  input_layer_names: "a"
-  input_layer_names: "b"
-  output_layer_names: "__addto_0__"
-  output_layer_names: "__concat_0__"
-  output_layer_names: "__concat_1__"
-  is_recurrent_layer_group: false
-}
-
-- 
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