https://community.intel.com/t5/Items-with-no-label/Performace-drop-on-Pytorch-model/m-p/727084#M17508 <P>I am trying to use an audio classification model trained in Pytorch with the Neural Compute Stick 2. The model is a ResNet18. While comparing the accuracy of the network after the model optimizer step (classifying on the stick) with the original model, I noticed a very large performance drop (in the order of 30% accuracy loss). Preprocessing is exactly the same for the two models. Is this expected? Is there any way to mitigate this phenomenon? </P><P>&nbsp;</P><P>Thank you</P> Mon, 20 Jan 2020 23:36:05 GMT FCola2 2020-01-20T23:36:05Z https://community.intel.com/t5/Items-with-no-label/Performace-drop-on-Pytorch-model/m-p/727084#M17508 <P>I am trying to use an audio classification model trained in Pytorch with the Neural Compute Stick 2. The model is a ResNet18. While comparing the accuracy of the network after the model optimizer step (classifying on the stick) with the original model, I noticed a very large performance drop (in the order of 30% accuracy loss). Preprocessing is exactly the same for the two models. Is this expected? Is there any way to mitigate this phenomenon? </P><P>&nbsp;</P><P>Thank you</P> Mon, 20 Jan 2020 23:36:05 GMT https://community.intel.com/t5/Items-with-no-label/Performace-drop-on-Pytorch-model/m-p/727084#M17508 FCola2 2020-01-20T23:36:05Z