# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: fl_base.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
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()




DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rfl_base.proto\";\n\x0b\x46loatTensor\x12\r\n\x05shape\x18\x01 \x03(\x05\x12\x0e\n\x06tensor\x18\x02 \x03(\x02\x12\r\n\x05\x64type\x18\x03 \x01(\t\"\x96\x01\n\tTensorMap\x12\x1b\n\x08metaData\x18\x01 \x01(\x0b\x32\t.MetaData\x12,\n\ttensorMap\x18\x02 \x03(\x0b\x32\x19.TensorMap.TensorMapEntry\x1a>\n\x0eTensorMapEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x1b\n\x05value\x18\x02 \x01(\x0b\x32\x0c.FloatTensor:\x02\x38\x01\")\n\x08MetaData\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0f\n\x07version\x18\x02 \x01(\x05*H\n\x06SIGNAL\x12\x0b\n\x07SUCCESS\x10\x00\x12\x08\n\x04WAIT\x10\x01\x12\x0b\n\x07TIMEOUT\x10\x02\x12\x0f\n\x0b\x45MPTY_INPUT\x10\x03\x12\t\n\x05\x45RROR\x10\x04\x42:\n+com.intel.analytics.bigdl.ppml.fl.generatedB\x0b\x46lBaseProtob\x06proto3')

_SIGNAL = DESCRIPTOR.enum_types_by_name['SIGNAL']
SIGNAL = enum_type_wrapper.EnumTypeWrapper(_SIGNAL)
SUCCESS = 0
WAIT = 1
TIMEOUT = 2
EMPTY_INPUT = 3
ERROR = 4


_FLOATTENSOR = DESCRIPTOR.message_types_by_name['FloatTensor']
_TENSORMAP = DESCRIPTOR.message_types_by_name['TensorMap']
_TENSORMAP_TENSORMAPENTRY = _TENSORMAP.nested_types_by_name['TensorMapEntry']
_METADATA = DESCRIPTOR.message_types_by_name['MetaData']
FloatTensor = _reflection.GeneratedProtocolMessageType('FloatTensor', (_message.Message,), {
  'DESCRIPTOR' : _FLOATTENSOR,
  '__module__' : 'fl_base_pb2'
  # @@protoc_insertion_point(class_scope:FloatTensor)
  })
_sym_db.RegisterMessage(FloatTensor)

TensorMap = _reflection.GeneratedProtocolMessageType('TensorMap', (_message.Message,), {

  'TensorMapEntry' : _reflection.GeneratedProtocolMessageType('TensorMapEntry', (_message.Message,), {
    'DESCRIPTOR' : _TENSORMAP_TENSORMAPENTRY,
    '__module__' : 'fl_base_pb2'
    # @@protoc_insertion_point(class_scope:TensorMap.TensorMapEntry)
    })
  ,
  'DESCRIPTOR' : _TENSORMAP,
  '__module__' : 'fl_base_pb2'
  # @@protoc_insertion_point(class_scope:TensorMap)
  })
_sym_db.RegisterMessage(TensorMap)
_sym_db.RegisterMessage(TensorMap.TensorMapEntry)

MetaData = _reflection.GeneratedProtocolMessageType('MetaData', (_message.Message,), {
  'DESCRIPTOR' : _METADATA,
  '__module__' : 'fl_base_pb2'
  # @@protoc_insertion_point(class_scope:MetaData)
  })
_sym_db.RegisterMessage(MetaData)

if _descriptor._USE_C_DESCRIPTORS == False:

  DESCRIPTOR._options = None
  DESCRIPTOR._serialized_options = b'\n+com.intel.analytics.bigdl.ppml.fl.generatedB\013FlBaseProto'
  _TENSORMAP_TENSORMAPENTRY._options = None
  _TENSORMAP_TENSORMAPENTRY._serialized_options = b'8\001'
  _SIGNAL._serialized_start=274
  _SIGNAL._serialized_end=346
  _FLOATTENSOR._serialized_start=17
  _FLOATTENSOR._serialized_end=76
  _TENSORMAP._serialized_start=79
  _TENSORMAP._serialized_end=229
  _TENSORMAP_TENSORMAPENTRY._serialized_start=167
  _TENSORMAP_TENSORMAPENTRY._serialized_end=229
  _METADATA._serialized_start=231
  _METADATA._serialized_end=272
# @@protoc_insertion_point(module_scope)
