# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: tensorflow/core/protobuf/saved_model.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()


from tensorflow.core.protobuf import meta_graph_pb2 as tensorflow_dot_core_dot_protobuf_dot_meta__graph__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
  name='tensorflow/core/protobuf/saved_model.proto',
  package='tensorflow',
  syntax='proto3',
  serialized_pb=_b('\n*tensorflow/core/protobuf/saved_model.proto\x12\ntensorflow\x1a)tensorflow/core/protobuf/meta_graph.proto\"_\n\nSavedModel\x12\"\n\x1asaved_model_schema_version\x18\x01 \x01(\x03\x12-\n\x0bmeta_graphs\x18\x02 \x03(\x0b\x32\x18.tensorflow.MetaGraphDefB1\n\x18org.tensorflow.frameworkB\x10SavedModelProtosP\x01\xf8\x01\x01\x62\x06proto3')
  ,
  dependencies=[tensorflow_dot_core_dot_protobuf_dot_meta__graph__pb2.DESCRIPTOR,])




_SAVEDMODEL = _descriptor.Descriptor(
  name='SavedModel',
  full_name='tensorflow.SavedModel',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='saved_model_schema_version', full_name='tensorflow.SavedModel.saved_model_schema_version', index=0,
      number=1, type=3, cpp_type=2, label=1,
      has_default_value=False, default_value=0,
      message_type=None, enum_type=None, containing_type=None,
      is_extension=False, extension_scope=None,
      options=None),
    _descriptor.FieldDescriptor(
      name='meta_graphs', full_name='tensorflow.SavedModel.meta_graphs', index=1,
      number=2, 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=101,
  serialized_end=196,
)

_SAVEDMODEL.fields_by_name['meta_graphs'].message_type = tensorflow_dot_core_dot_protobuf_dot_meta__graph__pb2._METAGRAPHDEF
DESCRIPTOR.message_types_by_name['SavedModel'] = _SAVEDMODEL
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

SavedModel = _reflection.GeneratedProtocolMessageType('SavedModel', (_message.Message,), dict(
  DESCRIPTOR = _SAVEDMODEL,
  __module__ = 'tensorflow.core.protobuf.saved_model_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.SavedModel)
  ))
_sym_db.RegisterMessage(SavedModel)


DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\030org.tensorflow.frameworkB\020SavedModelProtosP\001\370\001\001'))
# @@protoc_insertion_point(module_scope)
