Skip to main content

Asyncio Tensorflow Serving Communication.

Project description


Asyncio-based Tensorflow Serving Prediction


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


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.


$ pip install aiotf



Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiotf-0.1.0.tar.gz (3.5 kB view hashes)

Uploaded source

Built Distribution

aiotf-0.1.0-py2.py3-none-any.whl (4.6 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page