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This image can be used as tensorflow serving server and client in python 3.5
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_serving_cpu[:3.5] |
Dockerfile | https://github.com/EverDockers/tensorflow_serving_cpu/blob/python3/Dockerfile |
Tensorflow Serving - Server
nvidia-docker run -it -v <local working dir>:/projects -p 9000:9000 --name <ts_server> baikangwang/tensorflow_serving_cpu[:3.5] /bin/bash
Tensorflow Serving - Client
# console, desktop program
nvidia-docker run -it -v <local working dir>:/projects --net=host --name <ts_client> baikangwang/tensorflow_serving_cpu[:3.5] /bin/bash
# web app
nvidia-docker run -it -v <local working dir>:/projects --net=host -p 8080:8080 --name <ts_client> baikangwang/tensorflow_serving_cpu[:3.5] /bin/bash
<local working dir>
: it's a placeholder presenting the client code directory
<ts_server>
: it's a placeholder presenting the container name being played as SERVER role
<ts_client>
: it's a placeholder presenting the container name being played as CLIENT role
9000:9000
: the serving service port, the server part is configurable with the evn variable$SERVING_PORT
8080:8080
: the client app port which is optional for console, desktop programs, the server part is configurable with the evn variable$CLIENT_PORT
- grpc 1.6.0
- Python 3.5
- Tensorflow 1.3.0
- Tensorflow Serving 1.3.0
This image can be used as tensorflow serving server and client in python 2.7
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_serving_cpu:2.7] |
Dockerfile | https://github.com/EverDockers/tensorflow_serving_cpu/blob/python2/Dockerfile |
Tensorflow Serving - Server
nvidia-docker run -it -v <local working dir>:/projects -p 9000:9000 --name <ts_server> baikangwang/tensorflow_serving_cpu:2.7 /bin/bash
Tensorflow Serving - Client
# console, desktop program
nvidia-docker run -it -v <local working dir>:/projects --net=host --name <ts_client> baikangwang/tensorflow_serving_cpu:2.7 /bin/bash
# web app
nvidia-docker run -it -v <local working dir>:/projects --net=host -p 8080:8080 --name <ts_client> baikangwang/tensorflow_serving_cpu:2.7 /bin/bash
Parameters see
3.5
,latest
- grpc 1.6.0
- Python 2.7
- Tensorflow 1.3.0
- Tensorflow Serving 1.3.0