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wenbingl avatar wenbingl commented on June 28, 2024

Before we are taking a looking at this issue, can you share what the ONNXRuntime version is?

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sj120698 avatar sj120698 commented on June 28, 2024

@wenbingl I am using onnxruntime v1.7.0 and onnx v1.10.1

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TomWildenhain-Microsoft avatar TomWildenhain-Microsoft commented on June 28, 2024

I'm having the same issue with onnxruntime-extensions==0.4.0 but not onnxruntime-extensions==0.3.1 in tf2onnx unit tests.

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wenbingl avatar wenbingl commented on June 28, 2024

interesting, I check the file history, we didn't do any substantive change on this operator.
I will try to repro this bug with the real model converted from TF, if any of you have one, can you share with me?

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sj120698 avatar sj120698 commented on June 28, 2024

@wenbingl, the original TF model can be downloaded from https://tfhub.dev/tensorflow/bert_en_uncased_preprocess/3 and can be converted into ONNX model using tf2onnx command -

python -m tf2onnx.convert --saved-model bert_en_uncased_preprocess_3 --output model.onnx --opset 13 --extra_opset ai.onnx.contrib:1 --custom-ops CaseFoldUTF8:ai.onnx.contrib,NormalizeUTF8:ai.onnx.contrib

You can also refer this issue's description for more clarity or also let me know in case of any other doubts.

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wenbingl avatar wenbingl commented on June 28, 2024

@sj120698 I made patch release 0.4.2 for fix the issue, please upgrade your pip package and have a try.

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sj120698 avatar sj120698 commented on June 28, 2024

@wenbingl I have checked the model with v0.4.2, it is working fine now. Thanks a lot!

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