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Hello,
I am experiencing an issue when trying to load the attached model into open vino using the CPU plugin. I get this exception:
Node Splice14 contains empty parent edge for index 1 ..\src\mkldnn_plugin\mkldnn_node.cpp:345
I strongly suspect this is caused by a Concat node that takes the same input on the to input ports. Here is a code snippet to reproduce:
auto plugin = PluginDispatcher({ L"" }).getPluginByDevice("CPU"); CNNNetReader networkReader; networkReader.ReadNetwork("saved.xml"); networkReader.ReadWeights("saved.bin"); auto cnnNetwork = networkReader.getNetwork(); cnnNetwork.setBatchSize(1); auto executableNetwork = plugin.LoadNetwork(cnnNetwork, {});
Best Regards,
Thomas
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Hi Thomas,
Attached IR seems to load fine on Linux InferenceEngine API version 1.4 Build 19154 SDK computer_vision_sdk_2018.5.445 . Could it be an environment issue - can you see all libraries and plug-ins? What OS and SDK version?
nikos
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Hi Nikos,
Thanks for testing this out on your machine.
I am on Windows 10 with computer vision sdk version 2018.5.456. I have also just tried with 2018.5.445, and get the same issue.
I have only installed the CPU and GPU plugin (although my computer doesn't have an intel integrated GPU).
What do you mean by "can you see all libraries and plug-ins"?
I am able to run inference with other models.
Thomas
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Hi Thomas. I'm with Nikos. I tried this on Windows, and I could not reproduce this issue. Let me tell you what I did...I used the classification sample and passed in your model (from the zip file). Rather than hard-coding stuff as you did in your sample, I pass them in via command-line arguments as the classification sample does. Works perfectly fine.
Did you make sure to execute bin\setupvars.bat ?
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Hi,
I just tried using the classification sample, and I still get the same exception. Note that the vanilla classification sample exits prior to loading the model into the plugin (throws "Incorrect output dimensions for classification model"). So I had to remove that check before I could expose the behaviour using the classification sample.
I also made sure to executed setupvars.bat before running the program, but it made no difference.
- Thomas
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I was able to reproduce this. I will file a bug Thomas. Thank you !

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