text: # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Ops for building neural network layers, regularizers, summaries, etc.
  
  See the @{$python/contrib.layers} guide.
  
  @@avg_pool2d
  @@avg_pool3d
  @@batch_norm
  @@convolution2d
  @@convolution3d
  @@conv2d_in_plane
  @@convolution2d_in_plane
  @@conv2d_transpose
  @@convolution2d_transpose
  @@conv3d_transpose
  @@convolution3d_transpose
  @@dropout
  @@elu
  @@embedding_lookup_unique
  @@flatten
  @@fully_connected
  @@GDN
  @@gdn
  @@layer_norm
  @@linear
  @@max_pool2d
  @@max_pool3d
  @@one_hot_encoding
  @@relu
  @@relu6
  @@repeat
  @@safe_embedding_lookup_sparse
  @@scale_gradient
  @@separable_conv2d
  @@separable_convolution2d
  @@softmax
  @@stack
  @@unit_norm
  @@bow_encoder
  @@embed_sequence
  @@maxout
  
  @@apply_regularization
  @@l1_l2_regularizer
  @@l1_regularizer
  @@l2_regularizer
  @@sum_regularizer
  
  @@xavier_initializer
  @@xavier_initializer_conv2d
  @@variance_scaling_initializer
  
  @@optimize_loss
  
  @@summarize_activation
  @@summarize_tensor
  @@summarize_tensors
  @@summarize_collection
  
  @@summarize_activations
  
  @@bucketized_column
  @@check_feature_columns
  @@create_feature_spec_for_parsing
  @@crossed_column
  @@embedding_column
  @@scattered_embedding_column
  @@input_from_feature_columns
  @@transform_features
  @@joint_weighted_sum_from_feature_columns
  @@make_place_holder_tensors_for_base_features
  @@multi_class_target
  @@one_hot_column
  @@parse_feature_columns_from_examples
  @@parse_feature_columns_from_sequence_examples
  @@real_valued_column
  @@shared_embedding_columns
  @@sparse_column_with_hash_bucket
  @@sparse_column_with_integerized_feature
  @@sparse_column_with_keys
  @@sparse_column_with_vocabulary_file
  @@weighted_sparse_column
  @@weighted_sum_from_feature_columns
  @@infer_real_valued_columns
  @@sequence_input_from_feature_columns
  
  @@instance_norm
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  # pylint: disable=unused-import,wildcard-import
  from tensorflow.contrib.layers.python.layers import *
  # pylint: enable=unused-import,wildcard-import
  
  from tensorflow.python.util.all_util import remove_undocumented
  
  _allowed_symbols = ['bias_add',
                      'conv2d',
                      'conv3d',
                      'elu',
                      'feature_column',
                      'instance_norm',
                      'legacy_fully_connected',
                      'legacy_linear',
                      'legacy_relu',
                      'OPTIMIZER_CLS_NAMES',
                      'OPTIMIZER_SUMMARIES',
                      'regression_target',
                      'SPARSE_FEATURE_CROSS_DEFAULT_HASH_KEY',
                      'summaries']
  
  remove_undocumented(__name__, _allowed_symbols)
  