# Copyright 2018 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.
# ==============================================================================
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorflow_serving/apis/model_service.proto
# To regenerate run
# python -m grpc.tools.protoc --python_out=. --grpc_python_out=. -I. tensorflow_serving/apis/model_service.proto
import grpc
from grpc.framework.common import cardinality
from grpc.framework.interfaces.face import utilities as face_utilities
import tensorflow_serving.apis.get_model_status_pb2 as tensorflow__serving_dot_apis_dot_get__model__status__pb2
class ModelServiceStub(object):
"""ModelService provides access to information about model versions
that have been handled by the model server.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.GetModelStatus = channel.unary_unary(
'/tensorflow.serving.ModelService/GetModelStatus',
request_serializer=tensorflow__serving_dot_apis_dot_get__model__status__pb2.GetModelStatusRequest.SerializeToString,
response_deserializer=tensorflow__serving_dot_apis_dot_get__model__status__pb2.GetModelStatusResponse.FromString,
)
class ModelServiceServicer(object):
"""ModelService provides access to information about model versions
that have been handled by the model server.
"""
def GetModelStatus(self, request, context):
"""Gets status of model. If the ModelSpec in the request does not specify
version, information about all versions of the model will be returned. If
the ModelSpec in the request does specify a version, the status of only
that version will be returned.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_ModelServiceServicer_to_server(servicer, server):
rpc_method_handlers = {
'GetModelStatus': grpc.unary_unary_rpc_method_handler(
servicer.GetModelStatus,
request_deserializer=tensorflow__serving_dot_apis_dot_get__model__status__pb2.GetModelStatusRequest.FromString,
response_serializer=tensorflow__serving_dot_apis_dot_get__model__status__pb2.GetModelStatusResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'tensorflow.serving.ModelService', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
