Inference problem with CPU and MYRIAD.

[jaimes__benjamin]

Hi, i translate a pytorch.onnx model to MO .xml and bin files, i use classification_sample_async to do the inference and i get different results. Is this a bug? Should i creat the inference app from scratch? The inference problem is that classify in a diferent category if i change the device in CPU is a bad image and in MYRIAD is a good one. 

Thanks.

[jaimes__benjamin]

Another issue on MYRIAD its that does not allow me to inference from a batch in CPU i dont have that problem

[Roy_A_Intel]

Hi Benjamin,

No need to create the inference app from scratch, could you PM me the model and I'll take a look at this.

[jaimes__benjamin]

I cant or i dont know how to send you a PM. My code is the classificaction_sample_async.exe, on the line of command, i didnt change anything, i have problems with the inference, i have differents results on MYRIAD and CPU.