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Hello,
When optimizing tensorflow model, I had 4 nodes Fatten_1
flatten_1/stack/0 flatten_1/stack/0/Output_0/Data_190
flatten_1/stack flatten_1/stack/Output_0/Data_248
2nd half causes optimization fail as value/shape propagation stops.
Is VINO not compatible with all model variations in AI?
Also posted here -
https://stackoverflow.com/questions/55420326/cannot-infer-shapes-or-values-for-node-flatten-1-stack
Please illuminate @Subha.
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Dear Mike, it's difficult to say what happened based on that Stack Overflow link and your post as well. Can you kindly re-run Model Optimizer with --log_level DEBUG and copy the ERROR part here ?
Thanks,
Shubha

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