serving-utils 0.5.2

Some utilities for tensorflow serving

serving-utils

Some python utilities when using tensorflow-serving.

Installation

From PYPI: 1. Manually install tensorflow CPU or GPU version. 2. pip install serving-utils

From Github repository: 1. git clone [e-mail]:Yoctol/serving-utils.git 2. make install

Usage

1. Saver ```python import tensorflow as tf

from serving_utils import Saver

saver = Saver( session=tf.Session(graph=your_graph), output_dir=’/path/to/serving’, signature_def_map={ ‘predict’: tf.saved_model.signature_def_utils.predict_signature_def( inputs={‘input’: tf.Tensor…}, outputs={‘output’: tf.Tensor…}, ) }, ) saver.save(…) ```

2. Saver ```python from serving_utils import Client, PredictInput

client = Client(addr=”localhost:8500”) client.predict( [PredictInput(name=’input’, value=np.ones(1, 10))], output_names=[‘output’], model_signature_name=’predict’, )

or async

await client.async_predict(…)

## Test

Run the following commands:

make lint make test

## Dev

make install ```