jerryzh168:

print(torch.backends.quantized.engine)


I am currently running this model in x64 Windows 10 environment. My final goal is to trace this model using TorchScript and save it to .pt file, so that I can import this model in my .cpp application, which will run in Android device (Galaxy S10). According to my plan, if I set the quantization configuration as qnnpack, will this model give better result when it is deployed to the target device?
It is just a rough plan, please share some of your experienced thought. I really appreciate that, since I am kinda newbie to this deployment plan
On Windows 10 machine(x64)

print(torch.backends.quantized.engine)
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fbgemm