mxnet-model-server

Project Description

Apache MXNet Model Server (MMS) is a flexible and easy to use tool for serving deep learning models exported from MXNet <http://mxnet.io/>__ or the Open Neural Network Exchange (ONNX <http://onnx.ai/>__).

Use the MMS Server CLI, or the pre-configured Docker images, to start a service that sets up HTTP endpoints to handle model inference requests.

Detailed documentation and examples are provided in the docs folder <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>__.

Prerequisites

• java 8: Required. MMS use java to serve HTTP requests. You must install java 8 (or later) and make sure java is on available in $PATH environment variable before installing MMS. If you have multiple java installed, you can use $JAVA_HOME environment vairable to control which java to use.
• mxnet: mxnet will not be installed by default with MMS 1.0 any more. You have to install it manually if you use MxNet.

For ubuntu: ::

sudo apt-get install openjdk-8-jre-headless

For centos ::

sudo yum install java-1.8.0-openjdk

For Mac: ::

brew tap caskroom/versions
brew update
brew cask install java8

Install MxNet: ::

pip install mxnet

MXNet offers MKL pip packages that will be much faster when running on Intel hardware. To install mkl package for CPU: ::

pip install mxnet-mkl

or for GPU instance:

::

pip install mxnet-cu92mkl

Installation

::

pip install mxnet-model-server

Development

We welcome new contributors of all experience levels. For information on how to install MMS for development, refer to the MMS docs <https://github.com/awslabs/mxnet-model-server/blob/master/docs/install.md>__.

Important links

• Official source code repo <https://github.com/awslabs/mxnet-model-server>__
• Download releases <https://pypi.org/project/mxnet-model-server/#files>__
• Issue tracker <https://github.com/awslabs/mxnet-model-server/issues>__

Source code

You can check the latest source code as follows:

::

git clone https://github.com/awslabs/mxnet-model-server.git

Testing

After installation, try out the MMS Quickstart for

• Serving a Model <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#serve-a-model>__
• Create a Model Archive <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#model-archive>__.

Help and Support

• Documentation <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>__
• Forum <https://discuss.mxnet.io/latest>__

Citation

If you use MMS in a publication or project, please cite MMS: https://github.com/awslabs/mxnet-model-server