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Hello. I am currently porting the codebase of one of my projects to TensorFlow 2.0. In the past, I have had experience in deploying fine-tuned Keras models on NCS using OpenVINO (with TensorFlow 1.14). Is there any recommended way to do that when it comes to TensorFlow 2.0 since the way we export TensorFlow-formatted models (typically protobuffers) is changed in v2. So, directions regarding this would be great.
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Dear Sayak
Currently Model Optimizer does not support Tensorflow 2.0. But if you use Tensorflow 1.14 freeze_graph.py to freeze a TF 2.0 model, this frozen pb should be accepted by Model Optimizer.
Hope it helps,
Thanks,
Shubha
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Dear Sayak
Currently Model Optimizer does not support Tensorflow 2.0. But if you use Tensorflow 1.14 freeze_graph.py to freeze a TF 2.0 model, this frozen pb should be accepted by Model Optimizer.
Hope it helps,
Thanks,
Shubha
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Hello, Subha.
Do you have any news about convert TensorFlow 2.0 to OpenVINO / NCS2?
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Hello, Subha:
Is there any time table from Intel that openVino will support tensorflow 2.x?
Best Regards
Edwin Z
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Hi Edwin/Ricardo,
Unfortunately, I am unable to comment on this as Intel does not disclose roadmaps. I encourage you to check the Release Notes when there is a new software release.
Regards,
Jesus

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