tensorflow-serving-python

Minimal Python client to communicate with TensorFlow Serving.

About

Python client to communicate with the TensorFlow RPC API. Similar to the examples in the documentation of TensorFlow Serving, we use gRPC as the RPC client.

TODOs

• Link TensorFlow Serving as a sub-module here. To compile protobufs properly during build.
• When distributing, get rid of tf.contrib functions to remove TensorFlow as a dependency.

Installation

Check out the source e.g. via git clone https://github.com/sebastian-schlecht/tensorflow-serving-python.git and run python setup.py install.

This package depends on the following pip modules, so you might want to install those first:

• Cython
• grpcio
• grpcio-tools
• tensorflow

Alternatively, we offer an unofficial python wheel to be installed with: pip install http://www.mealomi.com/storage/tensorflow_serving_python/tensorflow_serving_python-0.1-py2-none-any.whl

Note When running on Linux, make sure pip is upgraded via pip install --upgrade pip such that TensorFlow is installed correctly.

Examples

Examples can be found in the examples folder.