# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: tensorflow/core/util/event.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.framework import graph_pb2 as tensorflow_dot_core_dot_framework_dot_graph__pb2
from tensorflow.core.framework import summary_pb2 as tensorflow_dot_core_dot_framework_dot_summary__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
  name='tensorflow/core/util/event.proto',
  package='tensorflow',
  syntax='proto3',
  serialized_pb=_b('\n tensorflow/core/util/event.proto\x12\ntensorflow\x1a%tensorflow/core/framework/graph.proto\x1a\'tensorflow/core/framework/summary.proto\"\x9b\x01\n\x05\x45vent\x12\x11\n\twall_time\x18\x01 \x01(\x01\x12\x0c\n\x04step\x18\x02 \x01(\x03\x12\x16\n\x0c\x66ile_version\x18\x03 \x01(\tH\x00\x12)\n\tgraph_def\x18\x04 \x01(\x0b\x32\x14.tensorflow.GraphDefH\x00\x12&\n\x07summary\x18\x05 \x01(\x0b\x32\x13.tensorflow.SummaryH\x00\x42\x06\n\x04whatb\x06proto3')
  ,
  dependencies=[tensorflow_dot_core_dot_framework_dot_graph__pb2.DESCRIPTOR,tensorflow_dot_core_dot_framework_dot_summary__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)




_EVENT = _descriptor.Descriptor(
  name='Event',
  full_name='tensorflow.Event',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='wall_time', full_name='tensorflow.Event.wall_time', index=0,
      number=1, type=1, cpp_type=5, 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='step', full_name='tensorflow.Event.step', index=1,
      number=2, 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='file_version', full_name='tensorflow.Event.file_version', index=2,
      number=3, 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='graph_def', full_name='tensorflow.Event.graph_def', index=3,
      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,
      options=None),
    _descriptor.FieldDescriptor(
      name='summary', full_name='tensorflow.Event.summary', index=4,
      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,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
    _descriptor.OneofDescriptor(
      name='what', full_name='tensorflow.Event.what',
      index=0, containing_type=None, fields=[]),
  ],
  serialized_start=129,
  serialized_end=284,
)

_EVENT.fields_by_name['graph_def'].message_type = tensorflow_dot_core_dot_framework_dot_graph__pb2._GRAPHDEF
_EVENT.fields_by_name['summary'].message_type = tensorflow_dot_core_dot_framework_dot_summary__pb2._SUMMARY
_EVENT.oneofs_by_name['what'].fields.append(
  _EVENT.fields_by_name['file_version'])
_EVENT.fields_by_name['file_version'].containing_oneof = _EVENT.oneofs_by_name['what']
_EVENT.oneofs_by_name['what'].fields.append(
  _EVENT.fields_by_name['graph_def'])
_EVENT.fields_by_name['graph_def'].containing_oneof = _EVENT.oneofs_by_name['what']
_EVENT.oneofs_by_name['what'].fields.append(
  _EVENT.fields_by_name['summary'])
_EVENT.fields_by_name['summary'].containing_oneof = _EVENT.oneofs_by_name['what']
DESCRIPTOR.message_types_by_name['Event'] = _EVENT

Event = _reflection.GeneratedProtocolMessageType('Event', (_message.Message,), dict(
  DESCRIPTOR = _EVENT,
  __module__ = 'tensorflow.core.util.event_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.Event)
  ))
_sym_db.RegisterMessage(Event)


# @@protoc_insertion_point(module_scope)

# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: tensorflow/core/util/event.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.framework import graph_pb2 as tensorflow_dot_core_dot_framework_dot_graph__pb2
from tensorflow.core.framework import summary_pb2 as tensorflow_dot_core_dot_framework_dot_summary__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
  name='tensorflow/core/util/event.proto',
  package='tensorflow',
  syntax='proto3',
  serialized_pb=_b('\n tensorflow/core/util/event.proto\x12\ntensorflow\x1a%tensorflow/core/framework/graph.proto\x1a\'tensorflow/core/framework/summary.proto\"\x9b\x01\n\x05\x45vent\x12\x11\n\twall_time\x18\x01 \x01(\x01\x12\x0c\n\x04step\x18\x02 \x01(\x03\x12\x16\n\x0c\x66ile_version\x18\x03 \x01(\tH\x00\x12)\n\tgraph_def\x18\x04 \x01(\x0b\x32\x14.tensorflow.GraphDefH\x00\x12&\n\x07summary\x18\x05 \x01(\x0b\x32\x13.tensorflow.SummaryH\x00\x42\x06\n\x04whatb\x06proto3')
  ,
  dependencies=[tensorflow_dot_core_dot_framework_dot_graph__pb2.DESCRIPTOR,tensorflow_dot_core_dot_framework_dot_summary__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)




_EVENT = _descriptor.Descriptor(
  name='Event',
  full_name='tensorflow.Event',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='wall_time', full_name='tensorflow.Event.wall_time', index=0,
      number=1, type=1, cpp_type=5, 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='step', full_name='tensorflow.Event.step', index=1,
      number=2, 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='file_version', full_name='tensorflow.Event.file_version', index=2,
      number=3, 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='graph_def', full_name='tensorflow.Event.graph_def', index=3,
      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,
      options=None),
    _descriptor.FieldDescriptor(
      name='summary', full_name='tensorflow.Event.summary', index=4,
      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,
      options=None),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
    _descriptor.OneofDescriptor(
      name='what', full_name='tensorflow.Event.what',
      index=0, containing_type=None, fields=[]),
  ],
  serialized_start=129,
  serialized_end=284,
)

_EVENT.fields_by_name['graph_def'].message_type = tensorflow_dot_core_dot_framework_dot_graph__pb2._GRAPHDEF
_EVENT.fields_by_name['summary'].message_type = tensorflow_dot_core_dot_framework_dot_summary__pb2._SUMMARY
_EVENT.oneofs_by_name['what'].fields.append(
  _EVENT.fields_by_name['file_version'])
_EVENT.fields_by_name['file_version'].containing_oneof = _EVENT.oneofs_by_name['what']
_EVENT.oneofs_by_name['what'].fields.append(
  _EVENT.fields_by_name['graph_def'])
_EVENT.fields_by_name['graph_def'].containing_oneof = _EVENT.oneofs_by_name['what']
_EVENT.oneofs_by_name['what'].fields.append(
  _EVENT.fields_by_name['summary'])
_EVENT.fields_by_name['summary'].containing_oneof = _EVENT.oneofs_by_name['what']
DESCRIPTOR.message_types_by_name['Event'] = _EVENT

Event = _reflection.GeneratedProtocolMessageType('Event', (_message.Message,), dict(
  DESCRIPTOR = _EVENT,
  __module__ = 'tensorflow.core.util.event_pb2'
  # @@protoc_insertion_point(class_scope:tensorflow.Event)
  ))
_sym_db.RegisterMessage(Event)


# @@protoc_insertion_point(module_scope)

# Generated by the protocol buffer compiler.  DO NOT EDIT! # source: tensorflow/core/util/event.proto # @@protoc_insertion_point(imports) # @@protoc_insertion_point(class_scope:tensorflow.Event) # @@protoc_insertion_point(module_scope)