Hi all,some layers are missing in the pretrained Resnet50 model.I don’t see Quantstub() and DeQuantStub() .Also,(Skip_add):FloatFunctional (adctivation_post_process):Identity()) is missing after every layer.I guess this is causing inference issues on quantized model and keeps giving this error:
RuntimeError: Could not run ‘quantized::conv2d’ with arguments from the ‘CPUTensorId’ backend. ‘quantized::conv2d’ is only available for these backends: [QuantizedCPUTensorId].
Any suggestions about this anyone please?