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I've noticed a difference between the results of the GRN layer of OpenVINO on CPU versus Myriad. When I have a GRN layer on the CPU it normalizes the channels as I would expect, by dividing by the L2 norm of the channel vector, but using the Myriad plugin it appears to divide by the absolute value each channel value, turning the channel vector values into +1 or -1. Here are two Jupyter notebooks which illustrate the difference:
Has anybody else had this problem with the GRN layer? I've tried multiple devices with the same results, so I suspect the issue is with the plugin in OpenVINO.