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| # 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. | ||
| # ============================================================================== | ||
| # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! | ||
| # source: tensorflow_serving/apis/prediction_service.proto | ||
| # To regenerate run | ||
| # python -m grpc.tools.protoc --python_out=. --grpc_python_out=. -I. tensorflow_serving/apis/prediction_service.proto | ||
| import grpc | ||
|
|
||
| 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 | ||
|
|
||
|
|
||
| class PredictionServiceStub(object): | ||
| """open source marker; do not remove | ||
| PredictionService provides access to machine-learned models loaded by | ||
| model_servers. | ||
| """ | ||
|
|
||
| def __init__(self, channel): | ||
| """Constructor. | ||
| Args: | ||
| channel: A grpc.Channel. | ||
| """ | ||
| self.Classify = channel.unary_unary( | ||
| '/tensorflow.serving.PredictionService/Classify', | ||
| request_serializer=tensorflow__serving_dot_apis_dot_classification__pb2.ClassificationRequest.SerializeToString, | ||
| response_deserializer=tensorflow__serving_dot_apis_dot_classification__pb2.ClassificationResponse.FromString, | ||
| ) | ||
| self.Regress = channel.unary_unary( | ||
| '/tensorflow.serving.PredictionService/Regress', | ||
| request_serializer=tensorflow__serving_dot_apis_dot_regression__pb2.RegressionRequest.SerializeToString, | ||
| response_deserializer=tensorflow__serving_dot_apis_dot_regression__pb2.RegressionResponse.FromString, | ||
| ) | ||
| self.Predict = channel.unary_unary( | ||
| '/tensorflow.serving.PredictionService/Predict', | ||
| request_serializer=tensorflow__serving_dot_apis_dot_predict__pb2.PredictRequest.SerializeToString, | ||
| response_deserializer=tensorflow__serving_dot_apis_dot_predict__pb2.PredictResponse.FromString, | ||
| ) | ||
| self.MultiInference = channel.unary_unary( | ||
| '/tensorflow.serving.PredictionService/MultiInference', | ||
| request_serializer=tensorflow__serving_dot_apis_dot_inference__pb2.MultiInferenceRequest.SerializeToString, | ||
| response_deserializer=tensorflow__serving_dot_apis_dot_inference__pb2.MultiInferenceResponse.FromString, | ||
| ) | ||
| self.GetModelMetadata = channel.unary_unary( | ||
| '/tensorflow.serving.PredictionService/GetModelMetadata', | ||
| request_serializer=tensorflow__serving_dot_apis_dot_get__model__metadata__pb2.GetModelMetadataRequest.SerializeToString, | ||
| response_deserializer=tensorflow__serving_dot_apis_dot_get__model__metadata__pb2.GetModelMetadataResponse.FromString, | ||
| ) | ||
|
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|
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| class PredictionServiceServicer(object): | ||
| """open source marker; do not remove | ||
| PredictionService provides access to machine-learned models loaded by | ||
| model_servers. | ||
| """ | ||
|
|
||
| def Classify(self, request, context): | ||
| """Classify. | ||
| """ | ||
| context.set_code(grpc.StatusCode.UNIMPLEMENTED) | ||
| context.set_details('Method not implemented!') | ||
| raise NotImplementedError('Method not implemented!') | ||
|
|
||
| def Regress(self, request, context): | ||
| """Regress. | ||
| """ | ||
| context.set_code(grpc.StatusCode.UNIMPLEMENTED) | ||
| context.set_details('Method not implemented!') | ||
| raise NotImplementedError('Method not implemented!') | ||
|
|
||
| def Predict(self, request, context): | ||
| """Predict -- provides access to loaded TensorFlow model. | ||
| """ | ||
| context.set_code(grpc.StatusCode.UNIMPLEMENTED) | ||
| context.set_details('Method not implemented!') | ||
| raise NotImplementedError('Method not implemented!') | ||
|
|
||
| def MultiInference(self, request, context): | ||
| """MultiInference API for multi-headed models. | ||
| """ | ||
| context.set_code(grpc.StatusCode.UNIMPLEMENTED) | ||
| context.set_details('Method not implemented!') | ||
| raise NotImplementedError('Method not implemented!') | ||
|
|
||
| def GetModelMetadata(self, request, context): | ||
| """GetModelMetadata - provides access to metadata for loaded models. | ||
| """ | ||
| context.set_code(grpc.StatusCode.UNIMPLEMENTED) | ||
| context.set_details('Method not implemented!') | ||
| raise NotImplementedError('Method not implemented!') | ||
|
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|
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| def add_PredictionServiceServicer_to_server(servicer, server): | ||
| rpc_method_handlers = { | ||
| 'Classify': grpc.unary_unary_rpc_method_handler( | ||
| servicer.Classify, | ||
| request_deserializer=tensorflow__serving_dot_apis_dot_classification__pb2.ClassificationRequest.FromString, | ||
| response_serializer=tensorflow__serving_dot_apis_dot_classification__pb2.ClassificationResponse.SerializeToString, | ||
| ), | ||
| 'Regress': grpc.unary_unary_rpc_method_handler( | ||
| servicer.Regress, | ||
| request_deserializer=tensorflow__serving_dot_apis_dot_regression__pb2.RegressionRequest.FromString, | ||
| response_serializer=tensorflow__serving_dot_apis_dot_regression__pb2.RegressionResponse.SerializeToString, | ||
| ), | ||
| 'Predict': grpc.unary_unary_rpc_method_handler( | ||
| servicer.Predict, | ||
| request_deserializer=tensorflow__serving_dot_apis_dot_predict__pb2.PredictRequest.FromString, | ||
| response_serializer=tensorflow__serving_dot_apis_dot_predict__pb2.PredictResponse.SerializeToString, | ||
| ), | ||
| 'MultiInference': grpc.unary_unary_rpc_method_handler( | ||
| servicer.MultiInference, | ||
| request_deserializer=tensorflow__serving_dot_apis_dot_inference__pb2.MultiInferenceRequest.FromString, | ||
| response_serializer=tensorflow__serving_dot_apis_dot_inference__pb2.MultiInferenceResponse.SerializeToString, | ||
| ), | ||
| 'GetModelMetadata': grpc.unary_unary_rpc_method_handler( | ||
| servicer.GetModelMetadata, | ||
| request_deserializer=tensorflow__serving_dot_apis_dot_get__model__metadata__pb2.GetModelMetadataRequest.FromString, | ||
| response_serializer=tensorflow__serving_dot_apis_dot_get__model__metadata__pb2.GetModelMetadataResponse.SerializeToString, | ||
| ), | ||
| } | ||
| generic_handler = grpc.method_handlers_generic_handler( | ||
| 'tensorflow.serving.PredictionService', rpc_method_handlers) | ||
| server.add_generic_rpc_handlers((generic_handler,)) |
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