Metadata-Version: 2.1
Name: hipe4ml_converter
Version: 0.0.2
Summary: Minimal heavy ion physics environment for Machine Learning
Home-page: https://github.com/hipe4ml/hipe4ml_converter
Author: hipe4ml-developers
Author-email: hipe4ml@googlegroups.com
License: GPL
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

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# hipe4ml_converter

Package for conversion of machine learning models trained with hipe4ml into ONNX and tensor formats



# Introduction



hipe4ml-converter enables you to convert models trained with [hipe4ml](https://github.com/hipe4ml/hipe4ml) into [ONNX](https://onnx.ai/) format and tensor formats ([PyTorch](https://pytorch.org/), [TorchScript](https://pytorch.org/docs/stable/jit.html), [TVM](https://tvm.apache.org/) or [ONNX](https://onnx.ai/)) via the [hummingbird](https://github.com/microsoft/hummingbird) library.



# Requirements



- [hipe4ml](https://github.com/hipe4ml/hipe4ml)

- [onnx](https://github.com/onnx/onnx)

- [onnxruntime](https://github.com/microsoft/onnxruntime)

- [onnxmltools](https://github.com/onnx/onnxmltools)

- [hummingbird](https://github.com/microsoft/hummingbird)


