@@absolute_difference
@@compute_weighted_loss
@@cosine_distance
@@hinge_loss
@@log_loss
@@mean_pairwise_squared_error
@@mean_squared_error
@@sigmoid_cross_entropy
@@softmax_cross_entropy
@@sparse_softmax_cross_entropy

"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import sys

from tensorflow.python.ops.losses import util
# pylint: disable=wildcard-import
from tensorflow.python.ops.losses.losses_impl import *
from tensorflow.python.ops.losses.util import *
# pylint: enable=wildcard-import
from tensorflow.python.util.all_util import remove_undocumented

_allowed_symbols = []

remove_undocumented(__name__, _allowed_symbols,
                    [sys.modules[__name__], util])

# Copyright 2018 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.
# ==============================================================================
"""Tools for working with object-based checkpoints.


For creating and managing dependencies:
@@split_dependency
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.contrib.checkpoint.python.split_dependency import split_dependency
from tensorflow.python.util.all_util import remove_undocumented

remove_undocumented(module_name=__name__)

from tensorflow.contrib.rnn.python.ops.core_rnn import static_bidirectional_rnn
from tensorflow.contrib.rnn.python.ops.core_rnn import static_rnn
from tensorflow.contrib.rnn.python.ops.core_rnn import static_state_saving_rnn

from tensorflow.contrib.rnn.python.ops.core_rnn_cell import BasicLSTMCell
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import BasicRNNCell
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import DeviceWrapper
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import DropoutWrapper
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import EmbeddingWrapper
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import GRUCell
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import InputProjectionWrapper
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import LSTMCell
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import LSTMStateTuple
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import MultiRNNCell
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import OutputProjectionWrapper
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import ResidualWrapper
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import RNNCell

# pylint: disable=unused-import,wildcard-import,line-too-long
from tensorflow.contrib.rnn.python.ops.fused_rnn_cell import *
from tensorflow.contrib.rnn.python.ops.gru_ops import *
from tensorflow.contrib.rnn.python.ops.lstm_ops import *
from tensorflow.contrib.rnn.python.ops.rnn import *
from tensorflow.contrib.rnn.python.ops.rnn_cell import *
# pylint: enable=unused-import,wildcard-import,line-too-long

from tensorflow.python.util.all_util import remove_undocumented
remove_undocumented(__name__, ['core_rnn_cell'])

#     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.
# ==============================================================================
"""Probabilistic optimizer modules.

See @{tf.contrib.bayesflow.optimizers}.
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# go/tf-wildcard-import
# pylint: disable=wildcard-import
from tensorflow.contrib.bayesflow.python.ops.sgld_optimizer import *
from tensorflow.contrib.bayesflow.python.ops.variational_sgd_optimizer import *
# pylint: enable=wildcard-import
from tensorflow.python.util.all_util import remove_undocumented

_allowed_symbols = [
    'SGLDOptimizer',
    'VariationalSGDOptimizer',
]

remove_undocumented(__name__, _allowed_symbols)

# Copyright 2017 Google Inc. 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.
# ==============================================================================
"""TFGAN grouped API. Please see README.md for details and usage."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=wildcard-import
from tensorflow.contrib.gan.python.losses.python import losses_impl
from tensorflow.contrib.gan.python.losses.python.losses_impl import *
# pylint: enable=wildcard-import

from tensorflow.python.util.all_util import remove_undocumented

remove_undocumented(__name__, losses_impl.__all__)

@@list_variables
@@load_variable
@@init_from_checkpoint
@@load_and_remap_matrix_initializer
@@load_embedding_initializer
@@load_linear_multiclass_bias_initializer
@@load_variable_slot_initializer

@@sort

@@CriticalSection
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=unused-import,wildcard-import
from tensorflow.contrib.framework.python.framework import *
from tensorflow.contrib.framework.python.ops import *
# pylint: enable=unused-import,wildcard-import

from tensorflow.python.framework.ops import prepend_name_scope
from tensorflow.python.framework.ops import strip_name_scope

from tensorflow.python.util.all_util import remove_undocumented

_allowed_symbols = ['nest']

remove_undocumented(__name__, allowed_exception_list=_allowed_symbols)

    "FeatureLists",  # from example_pb2
    "FloatList",  # from example_pb2.
    "Int64List",  # from example_pb2.
    "JobDef",
    "SaverDef",  # From saver_pb2.
    "SequenceExample",  # from example_pb2.
    "ServerDef",
]

# pylint: disable=undefined-variable
tf_export("train.BytesList")(BytesList)
tf_export("train.ClusterDef")(ClusterDef)
tf_export("train.Example")(Example)
tf_export("train.Feature")(Feature)
tf_export("train.Features")(Features)
tf_export("train.FeatureList")(FeatureList)
tf_export("train.FeatureLists")(FeatureLists)
tf_export("train.FloatList")(FloatList)
tf_export("train.Int64List")(Int64List)
tf_export("train.JobDef")(JobDef)
tf_export("train.SaverDef")(SaverDef)
tf_export("train.SequenceExample")(SequenceExample)
tf_export("train.ServerDef")(ServerDef)
# pylint: enable=undefined-variable

# Include extra modules for docstrings because:
# * Input methods in tf.train are documented in io_ops.
# * Saver methods in tf.train are documented in state_ops.
remove_undocumented(__name__, _allowed_symbols,
                    [_sys.modules[__name__], _io_ops, _sdca_ops, _state_ops])

# 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.
# ==============================================================================
"""Hamiltonian Monte Carlo, a gradient-based MCMC algorithm.
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# go/tf-wildcard-import
from tensorflow.contrib.bayesflow.python.ops.hmc_impl import *  # pylint: disable=wildcard-import,unused-wildcard-import,g-importing-member
from tensorflow.python.util import all_util

_allowed_symbols = [
    'chain',
    'kernel',
    'leapfrog_integrator',
    'leapfrog_step',
    'ais_chain'
]

all_util.remove_undocumented(__name__, _allowed_symbols)

@@has_inf_or_nan
@@DumpingDebugHook
@@DumpingDebugWrapperSession
@@LocalCLIDebugHook
@@LocalCLIDebugWrapperSession
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=unused-imports
from tensorflow.python.debug.lib.debug_data import DebugDumpDir
from tensorflow.python.debug.lib.debug_data import DebugTensorDatum
from tensorflow.python.debug.lib.debug_data import has_inf_or_nan
from tensorflow.python.debug.lib.debug_data import load_tensor_from_event_file

from tensorflow.python.debug.lib.debug_utils import add_debug_tensor_watch
from tensorflow.python.debug.lib.debug_utils import watch_graph
from tensorflow.python.debug.lib.debug_utils import watch_graph_with_blacklists

from tensorflow.python.debug.wrappers.dumping_wrapper import DumpingDebugWrapperSession
from tensorflow.python.debug.wrappers.hooks import DumpingDebugHook
from tensorflow.python.debug.wrappers.hooks import LocalCLIDebugHook
from tensorflow.python.debug.wrappers.local_cli_wrapper import LocalCLIDebugWrapperSession

from tensorflow.python.util import all_util as _all_util


_all_util.remove_undocumented(__name__)

    return None
  else:
    return merge(summary_ops)


def get_summary_description(node_def):
  """Given a TensorSummary node_def, retrieve its SummaryDescription.

  When a Summary op is instantiated, a SummaryDescription of associated
  metadata is stored in its NodeDef. This method retrieves the description.

  Args:
    node_def: the node_def_pb2.NodeDef of a TensorSummary op

  Returns:
    a summary_pb2.SummaryDescription

  Raises:
    ValueError: if the node is not a summary op.
  """

  if node_def.op != 'TensorSummary':
    raise ValueError("Can't get_summary_description on %s" % node_def.op)
  description_str = _compat.as_str_any(node_def.attr['description'].s)
  summary_description = _summary_pb2.SummaryDescription()
  _json_format.Parse(description_str, summary_description)
  return summary_description


remove_undocumented(__name__, [])

# 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.
# ==============================================================================
"""Functions to copy elements between graphs.
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.contrib.copy_graph.python.util import copy_elements
# pylint: disable=wildcard-import
from tensorflow.contrib.copy_graph.python.util.copy_elements import *
# pylint: enable=wildcard-import

from tensorflow.python.util.all_util import remove_undocumented

remove_undocumented(__name__, doc_string_modules=[copy_elements])

    'check_data',
    'check_latent_vars',
    'copy',
    'dot',
    'get_ancestors',
    'get_blanket',
    'get_children',
    'get_control_variate_coef',
    'get_descendants',
    'get_parents',
    'get_session',
    'get_siblings',
    'get_variables',
    'is_independent',
    'Progbar',
    'random_variables',
    'ReplicaExchangeMC',
    'rbf',
    'set_seed',
    'to_simplex',
    'transform',
    '__version__',
    'VERSION',
]

# Remove all extra symbols that don't have a docstring or are not explicitly
# referenced in the whitelist.
remove_undocumented(__name__, _allowed_symbols, [
    criticisms, inferences, models, util
])

# Copyright 2017 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 and modules related to fused_conv2d_bias_activation."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=wildcard-import
from tensorflow.contrib.fused_conv.python.ops.fused_conv2d_bias_activation_op import *
from tensorflow.python.util.all_util import remove_undocumented

remove_undocumented(__name__, ['fused_conv2d_bias_activation'])

# limitations under the License.
# ==============================================================================
"""A time series library in TensorFlow (TFTS).

@@StructuralEnsembleRegressor
@@ARRegressor

@@ARModel

@@CSVReader
@@RandomWindowInputFn
@@WholeDatasetInputFn
@@predict_continuation_input_fn

@@TrainEvalFeatures
@@FilteringResults
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=wildcard-import
from tensorflow.contrib.timeseries.python.timeseries import *
# pylint: enable=wildcard-import

from tensorflow.python.util.all_util import remove_undocumented

remove_undocumented(module_name=__name__,
                    allowed_exception_list=['saved_model_utils'])

# Bring more nn-associated functionality into this package.
# go/tf-wildcard-import
# pylint: disable=wildcard-import
from tensorflow.python.ops.ctc_ops import *
from tensorflow.python.ops.nn_impl import *
from tensorflow.python.ops.nn_ops import *
from tensorflow.python.ops.candidate_sampling_ops import *
from tensorflow.python.ops.embedding_ops import *
from tensorflow.python.ops.rnn import *
# pylint: enable=wildcard-import


# TODO(cwhipkey): sigmoid and tanh should not be exposed from tf.nn.
_allowed_symbols = [
    "zero_fraction",  # documented in training.py
    # Modules whitelisted for reference through tf.nn.
    # TODO(cwhipkey): migrate callers to use the submodule directly.
    "rnn_cell",
    # Symbols whitelisted for export without documentation.
    # TODO(cwhipkey): review these and move to contrib or expose through
    # documentation.
    "all_candidate_sampler",  # Excluded in gen_docs_combined.
    "lrn",  # Excluded in gen_docs_combined.
    "relu_layer",  # Excluded in gen_docs_combined.
    "xw_plus_b",  # Excluded in gen_docs_combined.
]

remove_undocumented(__name__, _allowed_symbols,
                    [_sys.modules[__name__], _ctc_ops, _nn_ops, _nn_grad,
                     rnn_cell])

    'train',
    'user_ops',
])

# Variables framework.versions:
_allowed_symbols.extend([
    'VERSION',
    'GIT_VERSION',
    'COMPILER_VERSION',
])

# Remove all extra symbols that don't have a docstring or are not explicitly
# referenced in the whitelist.
remove_undocumented(__name__, _allowed_symbols,
                    [framework_lib, array_ops, client_lib, check_ops,
                     compat, constant_op, control_flow_ops, functional_ops,
                     histogram_ops, io_ops, math_ops, nn, script_ops,
                     session_ops, sparse_ops, state_ops, string_ops,
                     summary, tensor_array_ops, train])

# Special dunders that we choose to export:
_exported_dunders = set([
    '__version__',
    '__git_version__',
    '__compiler_version__',
])

# Expose symbols minus dunders, unless they are whitelisted above.
# This is necessary to export our dunders.
__all__ = [s for s in dir() if s in _exported_dunders or not s.startswith('_')]

from tensorflow.python.profiler.model_analyzer import profile
from tensorflow.python.profiler.model_analyzer import Profiler
from tensorflow.python.profiler.option_builder import ProfileOptionBuilder
from tensorflow.python.profiler.tfprof_logger import write_op_log

from tensorflow.python.util.all_util import remove_undocumented


_allowed_symbols = [
    'Profiler',
    'profile',
    'ProfileOptionBuilder',
    'advise',
    'write_op_log',
]

_allowed_symbols.extend([
    'GraphNodeProto',
    'MultiGraphNodeProto',
    'AdviceProto',
    'OpLogProto',
])

remove_undocumented(__name__, _allowed_symbols, [
    Profiler,
    profile,
    ProfileOptionBuilder,
    advise,
    write_op_log,
])

remove_undocumented(__name__, _allowed_symbols,
                    [_sys.modules[__name__],
                     _array_ops,
                     _check_ops,
                     _clip_ops,
                     _confusion_matrix,
                     _control_flow_ops,
                     _constant_op,
                     _data_flow_ops,
                     _functional_ops,
                     _gradients,
                     _histogram_ops,
                     _init_ops,
                     _io_ops,
                     _linalg_ops,
                     _logging_ops,
                     _math_ops,
                     _numerics,
                     _parsing_ops,
                     _partitioned_variables,
                     _random_ops,
                     _script_ops,
                     _session_ops,
                     _sparse_ops,
                     _special_math_ops,
                     _state_ops,
                     _string_ops,
                     _template,
                     _tensor_array_ops,
                     _variable_scope,
                     _variables,])

from tensorflow.python.ops.ragged.ragged_math_ops import reduce_all
from tensorflow.python.ops.ragged.ragged_math_ops import reduce_any
from tensorflow.python.ops.ragged.ragged_math_ops import reduce_max
from tensorflow.python.ops.ragged.ragged_math_ops import reduce_mean
from tensorflow.python.ops.ragged.ragged_math_ops import reduce_min
from tensorflow.python.ops.ragged.ragged_math_ops import reduce_prod
from tensorflow.python.ops.ragged.ragged_math_ops import reduce_sum

from tensorflow.python.ops.ragged.ragged_math_ops import segment_max
from tensorflow.python.ops.ragged.ragged_math_ops import segment_mean
from tensorflow.python.ops.ragged.ragged_math_ops import segment_min
from tensorflow.python.ops.ragged.ragged_math_ops import segment_prod
from tensorflow.python.ops.ragged.ragged_math_ops import segment_sqrt_n
from tensorflow.python.ops.ragged.ragged_math_ops import segment_sum

from tensorflow.python.ops.ragged.ragged_tensor import is_ragged
from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensorType

from tensorflow.python.ops.ragged.ragged_tensor_value import RaggedTensorValue

from tensorflow.python.ops.ragged.segment_id_ops import row_splits_to_segment_ids
from tensorflow.python.ops.ragged.segment_id_ops import segment_ids_to_row_splits

from tensorflow.python.util import all_util as _all_util

# Any symbol that is not referenced (with "@@name") in the module docstring
# above, or included in the "_elementwise_ops" whitelist, will be removed.
_all_util.remove_undocumented(__name__, _elementwise_ops)

    'layers',
])

# Variables framework.versions:
_allowed_symbols.extend([
    'VERSION',
    'GIT_VERSION',
    'COMPILER_VERSION',
])

# Remove all extra symbols that don't have a docstring or are not explicitly
# referenced in the whitelist.
remove_undocumented(__name__, _allowed_symbols, [
    framework_lib, array_ops, check_ops, client_lib, compat, constant_op,
    control_flow_ops, confusion_matrix_m, functional_ops, histogram_ops, io_ops,
    losses, math_ops, metrics, nn, resource_loader, sets, script_ops,
    session_ops, sparse_ops, state_ops, string_ops, summary, tensor_array_ops,
    train, layers
])

# Special dunders that we choose to export:
_exported_dunders = set([
    '__version__',
    '__git_version__',
    '__compiler_version__',
])

# Expose symbols minus dunders, unless they are whitelisted above.
# This is necessary to export our dunders.
__all__ = [s for s in dir() if s in _exported_dunders or not s.startswith('_')]