# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: tensorflow/core/example/feature.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
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()




DESCRIPTOR = _descriptor.FileDescriptor(
  name='tensorflow/core/example/feature.proto',
  package='tensorflow',
  syntax='proto3',
  serialized_pb=_b('\n%tensorflow/core/example/feature.proto\x12\ntensorflow\"\x1a\n\tBytesList\x12\r\n\x05value\x18\x01 \x03(\x0c\"\x1e\n\tFloatList\x12\x11\n\x05value\x18\x01 \x03(\x02\x42\x02\x10\x01\"\x1e\n\tInt64List\x12\x11\n\x05value\x18\x01 \x03(\x03\x42\x02\x10\x01\"\x98\x01\n\x07\x46\x65\x61ture\x12+\n\nbytes_list\x18\x01 \x01(\x0b\x32\x15.tensorflow.BytesListH\x00\x12+\n\nfloat_list\x18\x02 \x01(\x0b\x32\x15.tensorflow.FloatListH\x00\x12+\n\nint64_list\x18\x03 \x01(\x0b\x32\x15.tensorflow.Int64ListH\x00\x42\x06\n\x04kind\"\x83\x01\n\x08\x46\x65\x61tures\x12\x32\n\x07\x66\x65\x61ture\x18\x01 \x03(\x0b\x32!.tensorflow.Features.FeatureEntry\x1a\x43\n\x0c\x46\x65\x61tureEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\"\n\x05value\x18\x02 \x01(\x0b\x32\x13.tensorflow.Feature:\x02\x38\x01\"3\n\x0b\x46\x65\x61tureList\x12$\n\x07\x66\x65\x61ture\x18\x01 \x03(\x0b\x32\x13.tensorflow.Feature\"\x9c\x01\n\x0c\x46\x65\x61tureLists\x12?\n\x0c\x66\x65\x61ture_list\x18\x01 \x03(\x0b\x32).tensorflow.FeatureLists.FeatureListEntry\x1aK\n\x10\x46\x65\x61tureListEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12&\n\x05value\x18\x02 \x01(\x0b\x32\x17.tensorflow.FeatureList:\x02\x38\x01\x42,\n\x16org.tensorflow.exampleB\rFeatureProtosP\x01\xf8\x01\x01\x62\x06proto3')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)




_BYTESLIST = _descriptor.Descriptor(
  name='BytesList',
  full_name='tensorflow.BytesList',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='value', full_name='tensorflow.BytesList.value', index=0,
      number=1, type=12, cpp_type=9, label=3,
      has_default_value=False, default_value=[],
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=53,
  serialized_end=79,
)


_FLOATLIST = _descriptor.Descriptor(
  name='FloatList',
  full_name='tensorflow.FloatList',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='value', full_name='tensorflow.FloatList.value', index=0,
      number=1, type=2, cpp_type=6, label=3,
      has_default_value=False, default_value=[],
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\001'))),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=81,
  serialized_end=111,
)


_INT64LIST = _descriptor.Descriptor(
  name='Int64List',
  full_name='tensorflow.Int64List',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='value', full_name='tensorflow.Int64List.value', index=0,
      number=1, type=3, cpp_type=2, label=3,
      has_default_value=False, default_value=[],
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\001'))),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=113,
  serialized_end=143,
)


_FEATURE = _descriptor.Descriptor(
  name='Feature',
  full_name='tensorflow.Feature',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='bytes_list', full_name='tensorflow.Feature.bytes_list', index=0,
      number=1, 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,
      options=None),
    _descriptor.FieldDescriptor(
      name='float_list', full_name='tensorflow.Feature.float_list', 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,
      options=None),
    _descriptor.FieldDescriptor(
      name='int64_list', full_name='tensorflow.Feature.int64_list', 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,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
    _descriptor.OneofDescriptor(
      name='kind', full_name='tensorflow.Feature.kind',
      index=0, containing_type=None, fields=[]),
  ],
  serialized_start=146,
  serialized_end=298,
)


_FEATURES_FEATUREENTRY = _descriptor.Descriptor(
  name='FeatureEntry',
  full_name='tensorflow.Features.FeatureEntry',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='key', full_name='tensorflow.Features.FeatureEntry.key', 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,
      options=None),
    _descriptor.FieldDescriptor(
      name='value', full_name='tensorflow.Features.FeatureEntry.value', 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,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=365,
  serialized_end=432,
)

_FEATURES = _descriptor.Descriptor(
  name='Features',
  full_name='tensorflow.Features',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='feature', full_name='tensorflow.Features.feature', index=0,
      number=1, type=11, cpp_type=10, label=3,
      has_default_value=False, default_value=[],
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[_FEATURES_FEATUREENTRY, ],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=301,
  serialized_end=432,
)


_FEATURELIST = _descriptor.Descriptor(
  name='FeatureList',
  full_name='tensorflow.FeatureList',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='feature', full_name='tensorflow.FeatureList.feature', index=0,
      number=1, type=11, cpp_type=10, label=3,
      has_default_value=False, default_value=[],
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=434,
  serialized_end=485,
)


_FEATURELISTS_FEATURELISTENTRY = _descriptor.Descriptor(
  name='FeatureListEntry',
  full_name='tensorflow.FeatureLists.FeatureListEntry',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='key', full_name='tensorflow.FeatureLists.FeatureListEntry.key', 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,
      options=None),
    _descriptor.FieldDescriptor(
      name='value', full_name='tensorflow.FeatureLists.FeatureListEntry.value', 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,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=569,
  serialized_end=644,
)

_FEATURELISTS = _descriptor.Descriptor(
  name='FeatureLists',
  full_name='tensorflow.FeatureLists',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='feature_list', full_name='tensorflow.FeatureLists.feature_list', index=0,
      number=1, type=11, cpp_type=10, label=3,
      has_default_value=False, default_value=[],
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[_FEATURELISTS_FEATURELISTENTRY, ],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=488,
  serialized_end=644,
)

_FEATURE.fields_by_name['bytes_list'].message_type = _BYTESLIST
_FEATURE.fields_by_name['float_list'].message_type = _FLOATLIST
_FEATURE.fields_by_name['int64_list'].message_type = _INT64LIST
_FEATURE.oneofs_by_name['kind'].fields.append(
  _FEATURE.fields_by_name['bytes_list'])
_FEATURE.fields_by_name['bytes_list'].containing_oneof = _FEATURE.oneofs_by_name['kind']
_FEATURE.oneofs_by_name['kind'].fields.append(
  _FEATURE.fields_by_name['float_list'])
_FEATURE.fields_by_name['float_list'].containing_oneof = _FEATURE.oneofs_by_name['kind']
_FEATURE.oneofs_by_name['kind'].fields.append(
  _FEATURE.fields_by_name['int64_list'])
_FEATURE.fields_by_name['int64_list'].containing_oneof = _FEATURE.oneofs_by_name['kind']
_FEATURES_FEATUREENTRY.fields_by_name['value'].message_type = _FEATURE
_FEATURES_FEATUREENTRY.containing_type = _FEATURES
_FEATURES.fields_by_name['feature'].message_type = _FEATURES_FEATUREENTRY
_FEATURELIST.fields_by_name['feature'].message_type = _FEATURE
_FEATURELISTS_FEATURELISTENTRY.fields_by_name['value'].message_type = _FEATURELIST
_FEATURELISTS_FEATURELISTENTRY.containing_type = _FEATURELISTS
_FEATURELISTS.fields_by_name['feature_list'].message_type = _FEATURELISTS_FEATURELISTENTRY
DESCRIPTOR.message_types_by_name['BytesList'] = _BYTESLIST
DESCRIPTOR.message_types_by_name['FloatList'] = _FLOATLIST
DESCRIPTOR.message_types_by_name['Int64List'] = _INT64LIST
DESCRIPTOR.message_types_by_name['Feature'] = _FEATURE
DESCRIPTOR.message_types_by_name['Features'] = _FEATURES
DESCRIPTOR.message_types_by_name['FeatureList'] = _FEATURELIST
DESCRIPTOR.message_types_by_name['FeatureLists'] = _FEATURELISTS

BytesList = _reflection.GeneratedProtocolMessageType('BytesList', (_message.Message,), dict(
  DESCRIPTOR = _BYTESLIST,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.BytesList)
  ))
_sym_db.RegisterMessage(BytesList)

FloatList = _reflection.GeneratedProtocolMessageType('FloatList', (_message.Message,), dict(
  DESCRIPTOR = _FLOATLIST,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.FloatList)
  ))
_sym_db.RegisterMessage(FloatList)

Int64List = _reflection.GeneratedProtocolMessageType('Int64List', (_message.Message,), dict(
  DESCRIPTOR = _INT64LIST,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.Int64List)
  ))
_sym_db.RegisterMessage(Int64List)

Feature = _reflection.GeneratedProtocolMessageType('Feature', (_message.Message,), dict(
  DESCRIPTOR = _FEATURE,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.Feature)
  ))
_sym_db.RegisterMessage(Feature)

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

  FeatureEntry = _reflection.GeneratedProtocolMessageType('FeatureEntry', (_message.Message,), dict(
    DESCRIPTOR = _FEATURES_FEATUREENTRY,
    __module__ = 'tensorflow.core.example.feature_pb2'
    # @@protoc_insertion_point(class_scope:tensorflow.Features.FeatureEntry)
    ))
  ,
  DESCRIPTOR = _FEATURES,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.Features)
  ))
_sym_db.RegisterMessage(Features)
_sym_db.RegisterMessage(Features.FeatureEntry)

FeatureList = _reflection.GeneratedProtocolMessageType('FeatureList', (_message.Message,), dict(
  DESCRIPTOR = _FEATURELIST,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.FeatureList)
  ))
_sym_db.RegisterMessage(FeatureList)

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

  FeatureListEntry = _reflection.GeneratedProtocolMessageType('FeatureListEntry', (_message.Message,), dict(
    DESCRIPTOR = _FEATURELISTS_FEATURELISTENTRY,
    __module__ = 'tensorflow.core.example.feature_pb2'
    # @@protoc_insertion_point(class_scope:tensorflow.FeatureLists.FeatureListEntry)
    ))
  ,
  DESCRIPTOR = _FEATURELISTS,
  __module__ = 'tensorflow.core.example.feature_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.FeatureLists)
  ))
_sym_db.RegisterMessage(FeatureLists)
_sym_db.RegisterMessage(FeatureLists.FeatureListEntry)


DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\026org.tensorflow.exampleB\rFeatureProtosP\001\370\001\001'))
_FLOATLIST.fields_by_name['value'].has_options = True
_FLOATLIST.fields_by_name['value']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\001'))
_INT64LIST.fields_by_name['value'].has_options = True
_INT64LIST.fields_by_name['value']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\001'))
_FEATURES_FEATUREENTRY.has_options = True
_FEATURES_FEATUREENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
_FEATURELISTS_FEATURELISTENTRY.has_options = True
_FEATURELISTS_FEATURELISTENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)
