prediction_service_pb2.py

# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# To regenerate run
# python -m grpc.tools.protoc --python_out=. --grpc_python_out=. -I. tensorflow_serving/apis/prediction_service.proto

### @@AUTOGENERATED SECTION STARTS HERE@@

# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: tensorflow_serving/apis/prediction_service.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 descriptor_pb2
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()


from tensorflow_serving.apis import (
  classification_pb2 as tensorflow__serving_dot_apis_dot_classification__pb2,
)
from tensorflow_serving.apis import (
  get_model_metadata_pb2 as tensorflow__serving_dot_apis_dot_get__model__metadata__pb2,
)
from tensorflow_serving.apis import (
  inference_pb2 as tensorflow__serving_dot_apis_dot_inference__pb2,
)
from tensorflow_serving.apis import (
  predict_pb2 as tensorflow__serving_dot_apis_dot_predict__pb2,
)
from tensorflow_serving.apis import (
  regression_pb2 as tensorflow__serving_dot_apis_dot_regression__pb2,
)

DESCRIPTOR = _descriptor.FileDescriptor(
  name='tensorflow_serving/apis/prediction_service.proto',
  package='tensorflow.serving',
  syntax='proto3',
  serialized_pb=_b('\n0tensorflow_serving/apis/prediction_service.proto\x12\x12tensorflow.serving\x1a,tensorflow_serving/apis/classification.proto\x1a\x30tensorflow_serving/apis/get_model_metadata.proto\x1a\'tensorflow_serving/apis/inference.proto\x1a%tensorflow_serving/apis/predict.proto\x1a(tensorflow_serving/apis/regression.proto2\xfc\x03\n\x11PredictionService\x12\x61\n\x08\x43lassify\x12).tensorflow.serving.ClassificationRequest\x1a*.tensorflow.serving.ClassificationResponse\x12X\n\x07Regress\x12%.tensorflow.serving.RegressionRequest\x1a&.tensorflow.serving.RegressionResponse\x12R\n\x07Predict\x12\".tensorflow.serving.PredictRequest\x1a#.tensorflow.serving.PredictResponse\x12g\n\x0eMultiInference\x12).tensorflow.serving.MultiInferenceRequest\x1a*.tensorflow.serving.MultiInferenceResponse\x12m\n\x10GetModelMetadata\x12+.tensorflow.serving.GetModelMetadataRequest\x1a,.tensorflow.serving.GetModelMetadataResponseB\x03\xf8\x01\x01\x62\x06proto3')
  ,
  dependencies=[tensorflow__serving_dot_apis_dot_classification__pb2.DESCRIPTOR,tensorflow__serving_dot_apis_dot_get__model__metadata__pb2.DESCRIPTOR,tensorflow__serving_dot_apis_dot_inference__pb2.DESCRIPTOR,tensorflow__serving_dot_apis_dot_predict__pb2.DESCRIPTOR,tensorflow__serving_dot_apis_dot_regression__pb2.DESCRIPTOR,])



_sym_db.RegisterFileDescriptor(DESCRIPTOR)


DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\370\001\001'))

_PREDICTIONSERVICE = _descriptor.ServiceDescriptor(
  name='PredictionService',
  full_name='tensorflow.serving.PredictionService',
  file=DESCRIPTOR,
  index=0,
  options=None,
  serialized_start=291,
  serialized_end=799,
  methods=[
  _descriptor.MethodDescriptor(
    name='Classify',
    full_name='tensorflow.serving.PredictionService.Classify',
    index=0,
    containing_service=None,
    input_type=tensorflow__serving_dot_apis_dot_classification__pb2._CLASSIFICATIONREQUEST,
    output_type=tensorflow__serving_dot_apis_dot_classification__pb2._CLASSIFICATIONRESPONSE,
    options=None,
  ),
  _descriptor.MethodDescriptor(
    name='Regress',
    full_name='tensorflow.serving.PredictionService.Regress',
    index=1,
    containing_service=None,
    input_type=tensorflow__serving_dot_apis_dot_regression__pb2._REGRESSIONREQUEST,
    output_type=tensorflow__serving_dot_apis_dot_regression__pb2._REGRESSIONRESPONSE,
    options=None,
  ),
  _descriptor.MethodDescriptor(
    name='Predict',
    full_name='tensorflow.serving.PredictionService.Predict',
    index=2,
    containing_service=None,
    input_type=tensorflow__serving_dot_apis_dot_predict__pb2._PREDICTREQUEST,
    output_type=tensorflow__serving_dot_apis_dot_predict__pb2._PREDICTRESPONSE,
    options=None,
  ),
  _descriptor.MethodDescriptor(
    name='MultiInference',
    full_name='tensorflow.serving.PredictionService.MultiInference',
    index=3,
    containing_service=None,
    input_type=tensorflow__serving_dot_apis_dot_inference__pb2._MULTIINFERENCEREQUEST,
    output_type=tensorflow__serving_dot_apis_dot_inference__pb2._MULTIINFERENCERESPONSE,
    options=None,
  ),
  _descriptor.MethodDescriptor(
    name='GetModelMetadata',
    full_name='tensorflow.serving.PredictionService.GetModelMetadata',
    index=4,
    containing_service=None,
    input_type=tensorflow__serving_dot_apis_dot_get__model__metadata__pb2._GETMODELMETADATAREQUEST,
    output_type=tensorflow__serving_dot_apis_dot_get__model__metadata__pb2._GETMODELMETADATARESPONSE,
    options=None,
  ),
])
_sym_db.RegisterServiceDescriptor(_PREDICTIONSERVICE)

DESCRIPTOR.services_by_name['PredictionService'] = _PREDICTIONSERVICE

# @@protoc_insertion_point(module_scope)

### @@AUTOGENERATED SECTION ENDS HERE@@