From 6e78098b97bef8e7fd4f4f247aa1446c49cc1466 Mon Sep 17 00:00:00 2001 From: Maciej Smyk Date: Tue, 14 Jun 2022 11:42:06 +0200 Subject: [PATCH] Update docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md Co-authored-by: Helena Kloosterman --- docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md b/docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md index 244e4cf0e2d..456a6743c91 100644 --- a/docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md +++ b/docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md @@ -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?