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Update docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md

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Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
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Maciej Smyk 2022-06-14 11:42:06 +02:00 committed by GitHub
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docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md
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@ -627,7 +627,7 @@ If a `*.caffemodel` file exists and is correct, the error occurred possibly beca
The issue "SyntaxError: `yield` inside list comprehension" might occur during converting MXNet models (`mobilefacedet-v1-mxnet`, `brain-tumor-segmentation-0001`) on Windows platform with Python 3.8 environment. This issue is caused by the API changes for `yield expression` in Python 3.8.
The following workarounds are suggested to resolve this issue:
1. Use Python 3.6/3.7 to convert MXNet models on Windows
2. Update Apache MXNet by using `pip install mxnet=1.7.0.post2`
2. Update Apache MXNet by using `pip install mxnet==1.7.0.post2`
Note that it might have conflicts with previously installed PyPI dependencies.
#### 101. What does the message "The IR preparation was executed by the legacy MO path. ..." mean? <a name="question-101"></a>