[tvirosi]

I've tried inference on the python version of onnx and it usually varies between hitting a OOM limit (while with TF it works fine) to being an order of magnitude slower. Even if the codebase is still being changed I don't see much reason for people to use it other than as a convenient distribution format.

[akhundelar]

Interesting, I did not encounter such discrepancies in my work with these tools.

There could be multiple reasons for the degraded performance:

- Are we comparing apples to apples here (heh), e.g. ResNet-50 vs ResNet-50?

- Was the ONNX model ported from TF? There are known issues with that path (https://onnxruntime.ai/docs/how-to/tune-performance.html#my-...)

- Have you tried tuning an execution provider for your specific target platform?(https://onnxruntime.ai/docs/reference/execution-providers/#s...)