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Hey there! First of all I just wanted to say that I'm having a great time with the Neural Compute Stick 2, it really is incredible!
I've just recently updated to the 2020.1.023 version of OpenVINO toolkit on Ubuntu 16.04, likewise I've updated the Raspbian version accordingly. However after freezing and optimizing my Keras model for inference I'm getting the dreaded ngraph issue I've seen pop in these forums:
File "ie_api.pyx", line 980, in openvino.inference_engine.ie_api.IENetwork.__cinit__ RuntimeError: Check 'axis < static_cast<size_t>(input_rank)' failed at /teamcity/work/scoring_engine_build/releases_2020_1/ngraph/src/ngraph/op/gather.cpp:140: While validating node 'Gather[Gather_189](patternLabel_185: float{10,20,30}, patternLabel_186: int64_t{5}, patternLabel_188: int64_t{1}) -> (??)': The axis must => 0 and <= input_rank (axis: 4294967295).
I took the advice I've seen you guys give and tried an IR optimised the last toolkit version and it runs just fine. I guess my question is what's the latest update as to this issue? I'd love to continue using Tensorflow 1.15. For reference I'm using the optimization tool as follows:
python3 /opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo_tf.py \ --input_model avoidance.pb \ --input_shape [1,224,224,3] --scale 255 \ --data_type FP16 --output activation_1/Sigmoid \ --output_dir {output_dir} \ --reverse_input_channels
Cheers for your help in advance!
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Hi Williams,
Thank you for reaching out.
You can check a similar issue in the following link: https://software.intel.com/en-us/forums/intel-distribution-of-openvino-toolkit/topic/848966
Hope this helps.
Regards,
Randall B.

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