text: # pylint: disable=g-import-not-at-top
  # 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.
  # ==============================================================================
  """Contrib module containing volatile or experimental code.
  
  Warning: The `tf.contrib` module will not be included in TensorFlow 2.0. Many
  of its submodules have been integrated into TensorFlow core, or spun-off into
  other projects like [`tensorflow_io`](https://github.com/uve/io), or
  [`tensorflow_addons`](https://github.com/uve/addons). For instructions
  on how to upgrade see the
  [Migration guide](https://www.tensorflow.org/beta/guide/migration_guide).
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import os
  import platform
  
  # Add projects here, they will show up under tf.contrib.
  from tensorflow.contrib import autograph
  from tensorflow.contrib import batching
  from tensorflow.contrib import bayesflow
  from tensorflow.contrib import checkpoint
  from tensorflow.contrib import cluster_resolver
  from tensorflow.contrib import compiler
  from tensorflow.contrib import constrained_optimization
  from tensorflow.contrib import copy_graph
  from tensorflow.contrib import crf
  from tensorflow.contrib import cudnn_rnn
  from tensorflow.contrib import data
  from tensorflow.contrib import deprecated
  from tensorflow.contrib import distribute
  from tensorflow.contrib import distributions
  from tensorflow.contrib import estimator
  from tensorflow.contrib import factorization
  from tensorflow.contrib import feature_column
  from tensorflow.contrib import framework
  from tensorflow.contrib import gan
  from tensorflow.contrib import graph_editor
  from tensorflow.contrib import grid_rnn
  from tensorflow.contrib import image
  from tensorflow.contrib import input_pipeline
  from tensorflow.contrib import integrate
  from tensorflow.contrib import keras
  from tensorflow.contrib import kernel_methods
  from tensorflow.contrib import labeled_tensor
  from tensorflow.contrib import layers
  from tensorflow.contrib import learn
  from tensorflow.contrib import legacy_seq2seq
  from tensorflow.contrib import linear_optimizer
  from tensorflow.contrib import lookup
  from tensorflow.contrib import losses
  from tensorflow.contrib import memory_stats
  from tensorflow.contrib import metrics
  from tensorflow.contrib import mixed_precision
  from tensorflow.contrib import model_pruning
  from tensorflow.contrib import nn
  from tensorflow.contrib import opt
  from tensorflow.contrib import periodic_resample
  from tensorflow.contrib import predictor
  from tensorflow.contrib import proto
  from tensorflow.contrib import quantization
  from tensorflow.contrib import quantize
  from tensorflow.contrib import reduce_slice_ops
  from tensorflow.contrib import resampler
  from tensorflow.contrib import rnn
  from tensorflow.contrib import rpc
  from tensorflow.contrib import saved_model
  from tensorflow.contrib import seq2seq
  from tensorflow.contrib import signal
  from tensorflow.contrib import slim
  from tensorflow.contrib import solvers
  from tensorflow.contrib import sparsemax
  from tensorflow.contrib import staging
  from tensorflow.contrib import stat_summarizer
  from tensorflow.contrib import stateless
  from tensorflow.contrib import tensor_forest
  from tensorflow.contrib import tensorboard
  from tensorflow.contrib import testing
  from tensorflow.contrib import tfprof
  from tensorflow.contrib import timeseries
  from tensorflow.contrib import tpu
  from tensorflow.contrib import training
  from tensorflow.contrib import util
  from tensorflow.contrib.eager.python import tfe as eager
  from tensorflow.contrib.optimizer_v2 import optimizer_v2_symbols as optimizer_v2
  from tensorflow.contrib.receptive_field import receptive_field_api as receptive_field
  from tensorflow.contrib.recurrent.python import recurrent_api as recurrent
  from tensorflow.contrib.remote_fused_graph import pylib as remote_fused_graph
  from tensorflow.contrib.specs import python as specs
  from tensorflow.contrib.summary import summary
  
  if os.name != "nt" and platform.machine() != "s390x":
    try:
      from tensorflow.contrib import cloud
    except ImportError:
      pass
  
  from tensorflow.python.util.lazy_loader import LazyLoader
  ffmpeg = LazyLoader("ffmpeg", globals(),
                      "tensorflow.contrib.ffmpeg")
  del os
  del platform
  
  del LazyLoader
  
  del absolute_import
  del division
  del print_function
  