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
1 maintainer
Release files for aiotf 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aiotf-0.1.0.tar.gz | 3.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiotf-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size:8.0 kB
Release files / aiotf-0.1.0.tar.gz
| Download URL | aiotf-0.1.0.tar.gz |
|---|---|
| Size | 3.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / aiotf-0.1.0-py2.py3-none-any.whl
| Download URL | aiotf-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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