serving-utils 0.3.0

Some utilities for tensorflow serving

# serving-utils

[](https://travis-ci.org/Yoctol/serving-utils) [](https://badge.fury.io/py/serving-utils)

Some python utilities when using tensorflow-serving.

## Installation

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

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


## Usage

1. Client
```python
from serving_utils import Client

client = Client(addr="localhost:8500")
client.predict(...)

# or async
await client.async_predict(...)
```

2. 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={'tensor_name': tf.Tensor...},
outputs={'tensor_name': tf.Tensor...},
)
},
)
saver.save(...)
```


## Test

Run the following commands:
```
make lint
make test
```