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Asyncio Tensorflow Serving Communication.

Project description

aiotf

Asyncio-based Tensorflow Serving Prediction

Features

  • asyncio: better use of your cpu idle time
  • pep8 compliant: following best code standards
  • high-performance prediction: we use aio-grpc

Example

import aiotf

async def make_prediction(model_name: str, data):
  async with aiotf.AsyncTensorflowServing('localhost:9000') as client:
    predictions = await client.predict(model_name, data)

You can find more examples in the examples/ subdirectory.

Installation

$ pip install aiotf

License

MIT

Project details


Release history Release notifications

This version
History Node

0.1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
aiotf-0.1.0-py2.py3-none-any.whl (4.6 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Jun 21, 2018
aiotf-0.1.0.tar.gz (3.5 kB) Copy SHA256 hash SHA256 Source None Jun 21, 2018

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