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I am working on notebook files on Ubuntu. When running the following command, I got the following error message:
!python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_tf.py --input_model tf_model/top_layers.iv3.pb --input_shape=[1,299,299,3]
[ ERROR ] List of operations that cannot be converted to Inference Engine IR:
[ ERROR ] FusedBatchNormV3 (94)
[ ERROR ] batch_normalization_1_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_2_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_3_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_4_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_5_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_6_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_7_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_8_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_9_1/FusedBatchNormV3_1
[ ERROR ] batch_normalization_10_1/FusedBatchNormV3_1
I got top_layers.iv3.bin file, but failed to create top_layers.iv3.xml file.
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Hi Jung Soon,
- Which version of OpenVINO are you using?
- What type of model are you using? Is it a public model or custom-trained model?
- Can you share the model and other necessary files with us, to replicate the issue? If required, I can send a PM to share the files privately.
Regards,
Jaivin
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The version is openvino-toolkit-p-2019.3.376. I've downloaded the notebook files from DC to Edge Course.
I was not able to upload files on this forum. So, I put the project folder on google drive and the following
is the link:
https://drive.google.com/open?id=1h16KXIxqk3Cypj4eM4U5dNIqfsznYwyo
I could not follow the installation instruction, as it needs to be done with conda (I did not install conda).
This might cause the error.
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Hi,
The support for FusedBatchNorm operation is added in the latest version of OpenVINO(2020.1). I have generated the IR files from the attached model (Notebooks/tf_model/top_layers.iv3.pb), using OpenVINO(2020.1).
Hope this helps.
Regards,
Jaivin
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Thanks for your reply.
I've tested the notebook file after upgrading to the latest version, and it worked fine without error.
Attached is the screen capture of the output video.

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