Working on static quantizing a few models and hitting this error on a basic Resnet18 - any insight into what is missing to complete the quantization?
Did not ‘fuse’ the BN but unclear if that is the core issue?
Any assistance would be appreciated - very hard to find much documentation.
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py in batch_norm(input, running_mean, running_var, weight, bias, training, momentum, eps) 1921 return torch.batch_norm( 1922 input, weight, bias, running_mean, running_var, -> 1923 training, momentum, eps, torch.backends.cudnn.enabled 1924 ) 1925 RuntimeError: Could not run 'aten::native_batch_norm' with arguments from the 'QuantizedCPUTensorId' backend. 'aten::native_batch_norm' is only available for these backends: [CPUTensorId, CUDATensorId, MkldnnCPUTensorId, VariableTensorId].