Model inference results on Inf1 inconsistent with expected results

[hasanp87]

I was able to compile , deploy and run inference on Inf1 for a model created with mxnet 1.6.0 . I am using a pre-trained gluon cv i3d rennet model https://gluon-cv.mxnet.io/api/model_zoo.html#gluoncv.model_zoo.i3d_resnet50_v1_kinetics400.
The inference results does find the right predicted class , however the probability value is only 20.1 %. If i run this model standalone from here https://gluon-cv.mxnet.io/build/examples_action_recognition/demo_i3d_kinetics400.html , it gives the same predicted class but with a probability of 99.9 %.
So, clearly neo compile is not getting it right here ? how can we explain this, thanks

[saranyailla]

I have a similar issue with resnet50_v1 on x86_64 machines(ubuntu and deeplens). It seems to predict correctly on raspberry pi.

[kkwan-sme]

@hasanp87 @saranyailla I know your posts are now ancient history and there's no excuse for not tracking the posts and responding in a timely manner. Still, I wanted to see if you managed to resolve your issues. If you experience any issues with the current Neo compiler, you can send us a description of the issue and the compilation ARN to amazon-neo-feedback@amazon.com and we can follow-up with the team.