Tensorflow Serving Client

A prebuilt tensorflow serving client from the tensorflow serving proto files

License	Apache-2.0
Categories	TensorFlow Business Logic Libraries Machine Learning CLI User Interface
GroupId	io.opil
ArtifactId	tensorflow-serving-client
Last Version	2.3.0
Release Date	Aug 16, 2020
Type	pom.sha512
Description	Tensorflow Serving Client A prebuilt tensorflow serving client from the tensorflow serving proto files
Project URL	https://github.com/figroc/tensorflow-serving-client
Source Code Management	https://github.com/figroc/tensorflow-serving-client

Download tensorflow-serving-client

Filename	Size
tensorflow-serving-client-2.3.0.pom
tensorflow-serving-client-2.3.0-sources.jar	817 KB
tensorflow-serving-client-2.3.0-javadoc.jar	3 MB

Dependencies

runtime (3)

Group / Artifact	Type	Version
com.google.protobuf : protobuf-java	jar	3.12.0
io.grpc : grpc-protobuf	jar	1.30.0
io.grpc : grpc-stub	jar	1.30.0

Project Modules

There are no modules declared in this project.

tensorflow-serving-client

A prebuilt tensorflow serving client from the tensorflow serving proto files.

Currently supported build: C++, Java, Python, Node, Go, Mono, Rust.

Check tensorflow serving project for details: https://tensorflow.github.io/serving/

update protos

Set desired version in the VERSION file and invoke ./update.sh.

build libraries

Grpc tools are needed for building variant packages.

• Install protobuf-compiler-grpc and libprotobuf-dev on Ubuntu
• Install grpc and protobuf on macOS

See .travis.yml for details.

NOTE: [email protected] and [email protected] are required

Target	Command	Outputs	Artifacts
native	gradle cmake	build/cmake
java	gradle java	build/libs
python	gradle wheel	build/dist
node	gradle node	build/node
go	gradle golang	build/go
mono	gradle mono	build/mono
rust	gradle rust	build/cargo

using docker

Invoke ./build.sh instead of gradle to build artifacts using the docker.

The building container runs as user gradle whose UID:GID is 1000:1000. It goes well given that the UID:GID pair of the user matches the one in the host OS.

Otherwise you have to configure it manually. There are two approaches you can take either:

1. Create a new user in the host OS to match the UID:GID pair of gradle.
2. Make the dirs .gradle, build and obj in the project root to be world-writable.

known issues

• protobuf 3.12.3 is buggy (protocolbuffers/protobuf#7683)

Versions

Version
2.3.0 Aug 16, 2020
2.2.0 Jul 4, 2020
2.1.0 Feb 6, 2020
2.0 Oct 27, 2019
1.15 Oct 27, 2019
1.14 Oct 27, 2019
1.13 Oct 27, 2019
1.12 Oct 26, 2019