# Onnx support for Julia ML frameworks

**URL:** <https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035>\
**Category:** Machine Learning\
**Tags:** question\
**Created:** [February 13, 2018, 2:09pm UTC](https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035 "2018-02-13T14:09:53Z")\
**Posts on this page:** 1\
**Showing post:** 8

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**Author:** ![DrChainsaw](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/drchainsaw/32/8497_2.png) [@DrChainsaw](https://discourse.julialang.org/u/DrChainsaw)\
**Post date:** [August 24, 2020, 6:34pm UTC](https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035/8 "2020-08-24T18:34:37Z")

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I posted some more info about ONNXmutable in the [announcement thread](https://discourse.julialang.org/t/ann-onnx-export-for-flux-models/33829).

Tl;dr is that ONNXmutable pretty much only uses the protos from ONNX.jl, so aside from some annoying warnings from the deprecated DataFlow package ONNXmutable is fully functional (barring stated limitations and yet undisovered bugs ofc) and a model which can’t be loaded in ONNX.jl might very well load with ONNXmutable.

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_[View the full topic](https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035)._