FateWithShellmiaoComment/Fate/python/federatedml/protobuf/generated/hetero_nn_model_meta_pb2.py

# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: hetero-nn-model-meta.proto
"""Generated protocol buffer code."""
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\x1ahetero-nn-model-meta.proto\x12&com.webank.ai.fate.core.mlmodel.buffer\"3\n\x0eOptimizerParam\x12\x11\n\toptimizer\x18\x01 \x01(\t\x12\x0e\n\x06kwargs\x18\x02 \x01(\t\"!\n\x0cPredictParam\x12\x11\n\tthreshold\x18\x01 \x01(\x01\"\x89\x02\n\x11HeteroNNModelMeta\x12\x13\n\x0b\x63onfig_type\x18\x01 \x01(\t\x12\x18\n\x10\x62ottom_nn_define\x18\x02 \x03(\t\x12 \n\x18interactive_layer_define\x18\x03 \x01(\t\x12\x15\n\rtop_nn_define\x18\x04 \x03(\t\x12\x0f\n\x07metrics\x18\x05 \x03(\t\x12O\n\x0foptimizer_param\x18\x06 \x01(\x0b\x32\x36.com.webank.ai.fate.core.mlmodel.buffer.OptimizerParam\x12\x0c\n\x04loss\x18\x07 \x01(\t\x12\x1c\n\x14interactive_layer_lr\x18\x08 \x01(\x01\"\xcf\x01\n\x0cHeteroNNMeta\x12W\n\x14hetero_nn_model_meta\x18\x01 \x01(\x0b\x32\x39.com.webank.ai.fate.core.mlmodel.buffer.HeteroNNModelMeta\x12\x11\n\ttask_type\x18\x02 \x01(\t\x12\x12\n\nbatch_size\x18\x03 \x01(\x05\x12\x0e\n\x06\x65pochs\x18\x04 \x01(\x05\x12\x12\n\nearly_stop\x18\x05 \x01(\t\x12\x0b\n\x03tol\x18\x06 \x01(\x01\x12\x0e\n\x06module\x18\x07 \x01(\tB\x18\x42\x16HeteroNNModelMetaProtob\x06proto3')



_OPTIMIZERPARAM = DESCRIPTOR.message_types_by_name['OptimizerParam']
_PREDICTPARAM = DESCRIPTOR.message_types_by_name['PredictParam']
_HETERONNMODELMETA = DESCRIPTOR.message_types_by_name['HeteroNNModelMeta']
_HETERONNMETA = DESCRIPTOR.message_types_by_name['HeteroNNMeta']
OptimizerParam = _reflection.GeneratedProtocolMessageType('OptimizerParam', (_message.Message,), {
  'DESCRIPTOR' : _OPTIMIZERPARAM,
  '__module__' : 'hetero_nn_model_meta_pb2'
  # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.OptimizerParam)
  })
_sym_db.RegisterMessage(OptimizerParam)

PredictParam = _reflection.GeneratedProtocolMessageType('PredictParam', (_message.Message,), {
  'DESCRIPTOR' : _PREDICTPARAM,
  '__module__' : 'hetero_nn_model_meta_pb2'
  # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.PredictParam)
  })
_sym_db.RegisterMessage(PredictParam)

HeteroNNModelMeta = _reflection.GeneratedProtocolMessageType('HeteroNNModelMeta', (_message.Message,), {
  'DESCRIPTOR' : _HETERONNMODELMETA,
  '__module__' : 'hetero_nn_model_meta_pb2'
  # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.HeteroNNModelMeta)
  })
_sym_db.RegisterMessage(HeteroNNModelMeta)

HeteroNNMeta = _reflection.GeneratedProtocolMessageType('HeteroNNMeta', (_message.Message,), {
  'DESCRIPTOR' : _HETERONNMETA,
  '__module__' : 'hetero_nn_model_meta_pb2'
  # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.HeteroNNMeta)
  })
_sym_db.RegisterMessage(HeteroNNMeta)

if _descriptor._USE_C_DESCRIPTORS == False:

  DESCRIPTOR._options = None
  DESCRIPTOR._serialized_options = b'B\026HeteroNNModelMetaProto'
  _OPTIMIZERPARAM._serialized_start=70
  _OPTIMIZERPARAM._serialized_end=121
  _PREDICTPARAM._serialized_start=123
  _PREDICTPARAM._serialized_end=156
  _HETERONNMODELMETA._serialized_start=159
  _HETERONNMODELMETA._serialized_end=424
  _HETERONNMETA._serialized_start=427
  _HETERONNMETA._serialized_end=634
# @@protoc_insertion_point(module_scope)