ONNX Converter and Optimization Tools
Project description
Introduction
The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size onnxconverter_common-1.4.2-py2.py3-none-any.whl (39.2 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
Close
Hashes for onnxconverter_common-1.4.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e922cd3de28e485835385d12412893e06aed38d9886340f3fddff51e977690fe |
|
MD5 | b5200352f490e01d129553bf7d275de6 |
|
BLAKE2-256 | f5f6594f371b65e93aaa204bfbdd45fb4074f8188fb6ec348fdaf098adc8e3f3 |