# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: tensorflow/contrib/tpu/proto/optimization_parameters.proto

import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()


from google.protobuf import wrappers_pb2 as google_dot_protobuf_dot_wrappers__pb2


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  ,
  dependencies=[google_dot_protobuf_dot_wrappers__pb2.DESCRIPTOR,])




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_DYNAMICLEARNINGRATE = _descriptor.Descriptor(
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  fields=[
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_LEARNINGRATE = _descriptor.Descriptor(
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  fields=[
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  syntax='proto3',
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_ADAGRADPARAMETERS = _descriptor.Descriptor(
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  file=DESCRIPTOR,
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  fields=[
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      serialized_options=None, file=DESCRIPTOR),
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  syntax='proto3',
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_STOCHASTICGRADIENTDESCENTPARAMETERS = _descriptor.Descriptor(
  name='StochasticGradientDescentParameters',
  full_name='tensorflow.tpu.StochasticGradientDescentParameters',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
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  extensions=[
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  syntax='proto3',
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_FTRLPARAMETERS = _descriptor.Descriptor(
  name='FtrlParameters',
  full_name='tensorflow.tpu.FtrlParameters',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
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_ADAMPARAMETERS = _descriptor.Descriptor(
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  file=DESCRIPTOR,
  containing_type=None,
  fields=[
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_MOMENTUMPARAMETERS = _descriptor.Descriptor(
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  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
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    _descriptor.FieldDescriptor(
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_RMSPROPPARAMETERS = _descriptor.Descriptor(
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  fields=[
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    _descriptor.FieldDescriptor(
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_CENTEREDRMSPROPPARAMETERS = _descriptor.Descriptor(
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      name='momentum', full_name='tensorflow.tpu.CenteredRmsPropParameters.momentum', index=1,
      number=2, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='epsilon', full_name='tensorflow.tpu.CenteredRmsPropParameters.epsilon', index=2,
      number=3, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_ms', full_name='tensorflow.tpu.CenteredRmsPropParameters.initial_ms', index=3,
      number=4, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_mom', full_name='tensorflow.tpu.CenteredRmsPropParameters.initial_mom', index=4,
      number=5, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_mg', full_name='tensorflow.tpu.CenteredRmsPropParameters.initial_mg', index=5,
      number=6, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=900,
  serialized_end=1036,
)


_MDLADAGRADLIGHTPARAMETERS = _descriptor.Descriptor(
  name='MdlAdagradLightParameters',
  full_name='tensorflow.tpu.MdlAdagradLightParameters',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='l2', full_name='tensorflow.tpu.MdlAdagradLightParameters.l2', index=0,
      number=1, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='lr_power', full_name='tensorflow.tpu.MdlAdagradLightParameters.lr_power', index=1,
      number=2, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='min_servable_mdl_benefit', full_name='tensorflow.tpu.MdlAdagradLightParameters.min_servable_mdl_benefit', index=2,
      number=3, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='mdl_mix_in_margin', full_name='tensorflow.tpu.MdlAdagradLightParameters.mdl_mix_in_margin', index=3,
      number=4, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='mdl_benefit_rampup_coeff', full_name='tensorflow.tpu.MdlAdagradLightParameters.mdl_benefit_rampup_coeff', index=4,
      number=5, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='mdl_min_weight', full_name='tensorflow.tpu.MdlAdagradLightParameters.mdl_min_weight', index=5,
      number=6, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='benefit_revisit_scale', full_name='tensorflow.tpu.MdlAdagradLightParameters.benefit_revisit_scale', index=6,
      number=7, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='max_event_benefit', full_name='tensorflow.tpu.MdlAdagradLightParameters.max_event_benefit', index=7,
      number=8, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='max_total_benefit', full_name='tensorflow.tpu.MdlAdagradLightParameters.max_total_benefit', index=8,
      number=9, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='mdl_hard_limit', full_name='tensorflow.tpu.MdlAdagradLightParameters.mdl_hard_limit', index=9,
      number=10, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='hard_limit_min_benefit', full_name='tensorflow.tpu.MdlAdagradLightParameters.hard_limit_min_benefit', index=10,
      number=11, type=8, cpp_type=7, label=1,
      has_default_value=False, default_value=False,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='mdl_regularize', full_name='tensorflow.tpu.MdlAdagradLightParameters.mdl_regularize', index=11,
      number=12, type=8, cpp_type=7, label=1,
      has_default_value=False, default_value=False,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_accumulator', full_name='tensorflow.tpu.MdlAdagradLightParameters.initial_accumulator', index=12,
      number=13, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_weight', full_name='tensorflow.tpu.MdlAdagradLightParameters.initial_weight', index=13,
      number=14, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_benefit', full_name='tensorflow.tpu.MdlAdagradLightParameters.initial_benefit', index=14,
      number=15, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=1039,
  serialized_end=1458,
)


_ADADELTAPARAMETERS = _descriptor.Descriptor(
  name='AdadeltaParameters',
  full_name='tensorflow.tpu.AdadeltaParameters',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='rho', full_name='tensorflow.tpu.AdadeltaParameters.rho', index=0,
      number=1, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='epsilon', full_name='tensorflow.tpu.AdadeltaParameters.epsilon', index=1,
      number=2, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_accumulator', full_name='tensorflow.tpu.AdadeltaParameters.initial_accumulator', index=2,
      number=3, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_update', full_name='tensorflow.tpu.AdadeltaParameters.initial_update', index=3,
      number=4, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=1460,
  serialized_end=1563,
)


_PROXIMALADAGRADPARAMETERS = _descriptor.Descriptor(
  name='ProximalAdagradParameters',
  full_name='tensorflow.tpu.ProximalAdagradParameters',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='l1', full_name='tensorflow.tpu.ProximalAdagradParameters.l1', index=0,
      number=1, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='l2', full_name='tensorflow.tpu.ProximalAdagradParameters.l2', index=1,
      number=2, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='initial_accumulator', full_name='tensorflow.tpu.ProximalAdagradParameters.initial_accumulator', index=2,
      number=3, type=2, cpp_type=6, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=1565,
  serialized_end=1645,
)


_OPTIMIZATIONPARAMETERS = _descriptor.Descriptor(
  name='OptimizationParameters',
  full_name='tensorflow.tpu.OptimizationParameters',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='learning_rate', full_name='tensorflow.tpu.OptimizationParameters.learning_rate', index=0,
      number=13, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='clipping_limits', full_name='tensorflow.tpu.OptimizationParameters.clipping_limits', index=1,
      number=2, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='gradient_clipping_limits', full_name='tensorflow.tpu.OptimizationParameters.gradient_clipping_limits', index=2,
      number=7, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='use_gradient_accumulation', full_name='tensorflow.tpu.OptimizationParameters.use_gradient_accumulation', index=3,
      number=15, type=8, cpp_type=7, label=1,
      has_default_value=False, default_value=False,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='adagrad', full_name='tensorflow.tpu.OptimizationParameters.adagrad', index=4,
      number=3, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='stochastic_gradient_descent', full_name='tensorflow.tpu.OptimizationParameters.stochastic_gradient_descent', index=5,
      number=4, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='ftrl', full_name='tensorflow.tpu.OptimizationParameters.ftrl', index=6,
      number=5, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='adam', full_name='tensorflow.tpu.OptimizationParameters.adam', index=7,
      number=6, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='momentum', full_name='tensorflow.tpu.OptimizationParameters.momentum', index=8,
      number=8, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='rms_prop', full_name='tensorflow.tpu.OptimizationParameters.rms_prop', index=9,
      number=9, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='centered_rms_prop', full_name='tensorflow.tpu.OptimizationParameters.centered_rms_prop', index=10,
      number=10, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='mdl_adagrad_light', full_name='tensorflow.tpu.OptimizationParameters.mdl_adagrad_light', index=11,
      number=11, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='adadelta', full_name='tensorflow.tpu.OptimizationParameters.adadelta', index=12,
      number=12, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='proximal_adagrad', full_name='tensorflow.tpu.OptimizationParameters.proximal_adagrad', index=13,
      number=14, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
    _descriptor.OneofDescriptor(
      name='parameters', full_name='tensorflow.tpu.OptimizationParameters.parameters',
      index=0, containing_type=None, fields=[]),
  ],
  serialized_start=1648,
  serialized_end=2527,
)


_STATEVARIABLESPECIFICATION_USERDEFINED = _descriptor.Descriptor(
  name='UserDefined',
  full_name='tensorflow.tpu.StateVariableSpecification.UserDefined',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=2745,
  serialized_end=2758,
)

_STATEVARIABLESPECIFICATION_FILLWITHCONSTANT = _descriptor.Descriptor(
  name='FillWithConstant',
  full_name='tensorflow.tpu.StateVariableSpecification.FillWithConstant',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='initial_value', full_name='tensorflow.tpu.StateVariableSpecification.FillWithConstant.initial_value', index=0,
      number=1, type=1, cpp_type=5, label=1,
      has_default_value=False, default_value=float(0),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=2760,
  serialized_end=2801,
)

_STATEVARIABLESPECIFICATION = _descriptor.Descriptor(
  name='StateVariableSpecification',
  full_name='tensorflow.tpu.StateVariableSpecification',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='name', full_name='tensorflow.tpu.StateVariableSpecification.name', index=0,
      number=1, type=9, cpp_type=9, label=1,
      has_default_value=False, default_value=_b("").decode('utf-8'),
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='user_defined', full_name='tensorflow.tpu.StateVariableSpecification.user_defined', index=1,
      number=2, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='fill_with_constant', full_name='tensorflow.tpu.StateVariableSpecification.fill_with_constant', index=2,
      number=3, type=11, cpp_type=10, label=1,
      has_default_value=False, default_value=None,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      serialized_options=None, file=DESCRIPTOR),
  ],
  extensions=[
  ],
  nested_types=[_STATEVARIABLESPECIFICATION_USERDEFINED, _STATEVARIABLESPECIFICATION_FILLWITHCONSTANT, ],
  enum_types=[
  ],
  serialized_options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
    _descriptor.OneofDescriptor(
      name='usage', full_name='tensorflow.tpu.StateVariableSpecification.usage',
      index=0, containing_type=None, fields=[]),
  ],
  serialized_start=2530,
  serialized_end=2810,
)

_CLIPPINGLIMITS.fields_by_name['lower'].message_type = google_dot_protobuf_dot_wrappers__pb2._FLOATVALUE
_CLIPPINGLIMITS.fields_by_name['upper'].message_type = google_dot_protobuf_dot_wrappers__pb2._FLOATVALUE
_LEARNINGRATE.fields_by_name['dynamic'].message_type = _DYNAMICLEARNINGRATE
_LEARNINGRATE.oneofs_by_name['learning_rate'].fields.append(
  _LEARNINGRATE.fields_by_name['constant'])
_LEARNINGRATE.fields_by_name['constant'].containing_oneof = _LEARNINGRATE.oneofs_by_name['learning_rate']
_LEARNINGRATE.oneofs_by_name['learning_rate'].fields.append(
  _LEARNINGRATE.fields_by_name['dynamic'])
_LEARNINGRATE.fields_by_name['dynamic'].containing_oneof = _LEARNINGRATE.oneofs_by_name['learning_rate']
_OPTIMIZATIONPARAMETERS.fields_by_name['learning_rate'].message_type = _LEARNINGRATE
_OPTIMIZATIONPARAMETERS.fields_by_name['clipping_limits'].message_type = _CLIPPINGLIMITS
_OPTIMIZATIONPARAMETERS.fields_by_name['gradient_clipping_limits'].message_type = _CLIPPINGLIMITS
_OPTIMIZATIONPARAMETERS.fields_by_name['adagrad'].message_type = _ADAGRADPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['stochastic_gradient_descent'].message_type = _STOCHASTICGRADIENTDESCENTPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['ftrl'].message_type = _FTRLPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['adam'].message_type = _ADAMPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['momentum'].message_type = _MOMENTUMPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['rms_prop'].message_type = _RMSPROPPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['centered_rms_prop'].message_type = _CENTEREDRMSPROPPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['mdl_adagrad_light'].message_type = _MDLADAGRADLIGHTPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['adadelta'].message_type = _ADADELTAPARAMETERS
_OPTIMIZATIONPARAMETERS.fields_by_name['proximal_adagrad'].message_type = _PROXIMALADAGRADPARAMETERS
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['adagrad'])
_OPTIMIZATIONPARAMETERS.fields_by_name['adagrad'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['stochastic_gradient_descent'])
_OPTIMIZATIONPARAMETERS.fields_by_name['stochastic_gradient_descent'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['ftrl'])
_OPTIMIZATIONPARAMETERS.fields_by_name['ftrl'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['adam'])
_OPTIMIZATIONPARAMETERS.fields_by_name['adam'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['momentum'])
_OPTIMIZATIONPARAMETERS.fields_by_name['momentum'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['rms_prop'])
_OPTIMIZATIONPARAMETERS.fields_by_name['rms_prop'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['centered_rms_prop'])
_OPTIMIZATIONPARAMETERS.fields_by_name['centered_rms_prop'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['mdl_adagrad_light'])
_OPTIMIZATIONPARAMETERS.fields_by_name['mdl_adagrad_light'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['adadelta'])
_OPTIMIZATIONPARAMETERS.fields_by_name['adadelta'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters'].fields.append(
  _OPTIMIZATIONPARAMETERS.fields_by_name['proximal_adagrad'])
_OPTIMIZATIONPARAMETERS.fields_by_name['proximal_adagrad'].containing_oneof = _OPTIMIZATIONPARAMETERS.oneofs_by_name['parameters']
_STATEVARIABLESPECIFICATION_USERDEFINED.containing_type = _STATEVARIABLESPECIFICATION
_STATEVARIABLESPECIFICATION_FILLWITHCONSTANT.containing_type = _STATEVARIABLESPECIFICATION
_STATEVARIABLESPECIFICATION.fields_by_name['user_defined'].message_type = _STATEVARIABLESPECIFICATION_USERDEFINED
_STATEVARIABLESPECIFICATION.fields_by_name['fill_with_constant'].message_type = _STATEVARIABLESPECIFICATION_FILLWITHCONSTANT
_STATEVARIABLESPECIFICATION.oneofs_by_name['usage'].fields.append(
  _STATEVARIABLESPECIFICATION.fields_by_name['user_defined'])
_STATEVARIABLESPECIFICATION.fields_by_name['user_defined'].containing_oneof = _STATEVARIABLESPECIFICATION.oneofs_by_name['usage']
_STATEVARIABLESPECIFICATION.oneofs_by_name['usage'].fields.append(
  _STATEVARIABLESPECIFICATION.fields_by_name['fill_with_constant'])
_STATEVARIABLESPECIFICATION.fields_by_name['fill_with_constant'].containing_oneof = _STATEVARIABLESPECIFICATION.oneofs_by_name['usage']
DESCRIPTOR.message_types_by_name['ClippingLimits'] = _CLIPPINGLIMITS
DESCRIPTOR.message_types_by_name['DynamicLearningRate'] = _DYNAMICLEARNINGRATE
DESCRIPTOR.message_types_by_name['LearningRate'] = _LEARNINGRATE
DESCRIPTOR.message_types_by_name['AdagradParameters'] = _ADAGRADPARAMETERS
DESCRIPTOR.message_types_by_name['StochasticGradientDescentParameters'] = _STOCHASTICGRADIENTDESCENTPARAMETERS
DESCRIPTOR.message_types_by_name['FtrlParameters'] = _FTRLPARAMETERS
DESCRIPTOR.message_types_by_name['AdamParameters'] = _ADAMPARAMETERS
DESCRIPTOR.message_types_by_name['MomentumParameters'] = _MOMENTUMPARAMETERS
DESCRIPTOR.message_types_by_name['RmsPropParameters'] = _RMSPROPPARAMETERS
DESCRIPTOR.message_types_by_name['CenteredRmsPropParameters'] = _CENTEREDRMSPROPPARAMETERS
DESCRIPTOR.message_types_by_name['MdlAdagradLightParameters'] = _MDLADAGRADLIGHTPARAMETERS
DESCRIPTOR.message_types_by_name['AdadeltaParameters'] = _ADADELTAPARAMETERS
DESCRIPTOR.message_types_by_name['ProximalAdagradParameters'] = _PROXIMALADAGRADPARAMETERS
DESCRIPTOR.message_types_by_name['OptimizationParameters'] = _OPTIMIZATIONPARAMETERS
DESCRIPTOR.message_types_by_name['StateVariableSpecification'] = _STATEVARIABLESPECIFICATION
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

ClippingLimits = _reflection.GeneratedProtocolMessageType('ClippingLimits', (_message.Message,), dict(
  DESCRIPTOR = _CLIPPINGLIMITS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.ClippingLimits)
  ))
_sym_db.RegisterMessage(ClippingLimits)

DynamicLearningRate = _reflection.GeneratedProtocolMessageType('DynamicLearningRate', (_message.Message,), dict(
  DESCRIPTOR = _DYNAMICLEARNINGRATE,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.DynamicLearningRate)
  ))
_sym_db.RegisterMessage(DynamicLearningRate)

LearningRate = _reflection.GeneratedProtocolMessageType('LearningRate', (_message.Message,), dict(
  DESCRIPTOR = _LEARNINGRATE,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.LearningRate)
  ))
_sym_db.RegisterMessage(LearningRate)

AdagradParameters = _reflection.GeneratedProtocolMessageType('AdagradParameters', (_message.Message,), dict(
  DESCRIPTOR = _ADAGRADPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.AdagradParameters)
  ))
_sym_db.RegisterMessage(AdagradParameters)

StochasticGradientDescentParameters = _reflection.GeneratedProtocolMessageType('StochasticGradientDescentParameters', (_message.Message,), dict(
  DESCRIPTOR = _STOCHASTICGRADIENTDESCENTPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.StochasticGradientDescentParameters)
  ))
_sym_db.RegisterMessage(StochasticGradientDescentParameters)

FtrlParameters = _reflection.GeneratedProtocolMessageType('FtrlParameters', (_message.Message,), dict(
  DESCRIPTOR = _FTRLPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.FtrlParameters)
  ))
_sym_db.RegisterMessage(FtrlParameters)

AdamParameters = _reflection.GeneratedProtocolMessageType('AdamParameters', (_message.Message,), dict(
  DESCRIPTOR = _ADAMPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.AdamParameters)
  ))
_sym_db.RegisterMessage(AdamParameters)

MomentumParameters = _reflection.GeneratedProtocolMessageType('MomentumParameters', (_message.Message,), dict(
  DESCRIPTOR = _MOMENTUMPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.MomentumParameters)
  ))
_sym_db.RegisterMessage(MomentumParameters)

RmsPropParameters = _reflection.GeneratedProtocolMessageType('RmsPropParameters', (_message.Message,), dict(
  DESCRIPTOR = _RMSPROPPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.RmsPropParameters)
  ))
_sym_db.RegisterMessage(RmsPropParameters)

CenteredRmsPropParameters = _reflection.GeneratedProtocolMessageType('CenteredRmsPropParameters', (_message.Message,), dict(
  DESCRIPTOR = _CENTEREDRMSPROPPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.CenteredRmsPropParameters)
  ))
_sym_db.RegisterMessage(CenteredRmsPropParameters)

MdlAdagradLightParameters = _reflection.GeneratedProtocolMessageType('MdlAdagradLightParameters', (_message.Message,), dict(
  DESCRIPTOR = _MDLADAGRADLIGHTPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.MdlAdagradLightParameters)
  ))
_sym_db.RegisterMessage(MdlAdagradLightParameters)

AdadeltaParameters = _reflection.GeneratedProtocolMessageType('AdadeltaParameters', (_message.Message,), dict(
  DESCRIPTOR = _ADADELTAPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.AdadeltaParameters)
  ))
_sym_db.RegisterMessage(AdadeltaParameters)

ProximalAdagradParameters = _reflection.GeneratedProtocolMessageType('ProximalAdagradParameters', (_message.Message,), dict(
  DESCRIPTOR = _PROXIMALADAGRADPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.ProximalAdagradParameters)
  ))
_sym_db.RegisterMessage(ProximalAdagradParameters)

OptimizationParameters = _reflection.GeneratedProtocolMessageType('OptimizationParameters', (_message.Message,), dict(
  DESCRIPTOR = _OPTIMIZATIONPARAMETERS,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.OptimizationParameters)
  ))
_sym_db.RegisterMessage(OptimizationParameters)

StateVariableSpecification = _reflection.GeneratedProtocolMessageType('StateVariableSpecification', (_message.Message,), dict(

  UserDefined = _reflection.GeneratedProtocolMessageType('UserDefined', (_message.Message,), dict(
    DESCRIPTOR = _STATEVARIABLESPECIFICATION_USERDEFINED,
    __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
    # @@protoc_insertion_point(class_scope:tensorflow.tpu.StateVariableSpecification.UserDefined)
    ))
  ,

  FillWithConstant = _reflection.GeneratedProtocolMessageType('FillWithConstant', (_message.Message,), dict(
    DESCRIPTOR = _STATEVARIABLESPECIFICATION_FILLWITHCONSTANT,
    __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
    # @@protoc_insertion_point(class_scope:tensorflow.tpu.StateVariableSpecification.FillWithConstant)
    ))
  ,
  DESCRIPTOR = _STATEVARIABLESPECIFICATION,
  __module__ = 'tensorflow.contrib.tpu.proto.optimization_parameters_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.tpu.StateVariableSpecification)
  ))
_sym_db.RegisterMessage(StateVariableSpecification)
_sym_db.RegisterMessage(StateVariableSpecification.UserDefined)
_sym_db.RegisterMessage(StateVariableSpecification.FillWithConstant)


# @@protoc_insertion_point(module_scope)
