Setup: compatibility with python 3.13#235
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jmitrevs merged 3 commits intofastmachinelearning:mainfrom Feb 11, 2026
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Note that #220 mentions why an upper limit was used in the past. Are there still such issues? Personally I have always been worried about upper limits. |
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Related issue: Xilinx/brevitas#1450 |
Giuseppe5
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jmitrevs
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Feb 11, 2026
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Attempt to fix #234
The most recent versions of ONNX are needed for compatibility with torch 1.13, so this PR removes the maximum version requirementCurrent status is as follow:
Combining all these requirements, it means that we need two different versions of ONNX, whether we are using python 3.11 or not.
Above python 3.11, we can install latest version of everything.
Below python 3.11, we need a slightly older version of ONNX (1.17) to maintain compatibility with a slightly older version of onnxruntime (1.23.2)
We do not need a conditional requirement for onnxruntime when using python<3.11 because it will automatically install the latest available version (1.23.2) and ignore the most recent ones that are not compatible.