CODEWITHSUNDEEP
tensorflowgrpcprotocol-bufferstensorflow-serving
Nir
Nir

Reputation: 25369

tensorflow serving impossible proto files structure for grpc interface

I'm trying to compile pb files for GRPC calls to Tensorflow Serving (in php, but the question is not PHP related)

The file serving/tensorflow_serving/apis/predict.proto has:

import "tensorflow/core/framework/tensor.proto";
import "tensorflow_serving/apis/model.proto";

However in a normal setup tensorflow and tensorflow serving are not located in a hierarchy that has a common folder from which the two import can work together.

Assuming that compiling the proto files to pb files for grpc keeps the hirarchy , it cannot work without locating tensorflow serving under /tensorflow/. What am I missing here?

What is the best practice in order to compile pb files for grpc client?

Another issue: if the pb files are created - they include the imports with same hirarchy so it will force the same folder structure on the client ??? this is against the meaning of GRPC which is isolation and seperation between the entities.

Upvotes: 0

Views: 1054

Answers (1)

Pavel Zdenek
Pavel Zdenek

Reputation: 7293

I don't know anything about tensorflow, but i'm approaching the problem from a just-another-protobuf-creation point of view. Here https://github.com/tensorflow/serving i'm seeing both tensorflow_serving and a submodule tensorflow which is a root of your desired dependency (i.e. it has another tensorflow subfolder in it). So i guess that you either missed some configuration step, which would have copied the folder into right relative location, or you are running an incomplete/incorrect protoc command line, i.e. you are missing some -I <path>

Upvotes: 1

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