I have a module like this -
self.conv = nn.Sequence(nn.ConstantPad2d((1,2,1,2)), nn.Conv2d(...))
Model converts successfully into quantized form but when I try to evaluate it, I get this error -
RuntimeError: Could not run ‘aten::empty.memory_format’ with arguments from the ‘QuantizedCPU’ backend. ‘aten::empty.memory_format’ is only available
for these backends: [CPU, CUDA, MkldnnCPU, SparseCPU, SparseCUDA, BackendSelect, Autograd, Profiler, Tracer].
I think this is because quantization of
nn.ConstantPad2d is not supported. So, any solution around it?
I cannot merge ConstantPad2d and Conv2d because Conv2d don’t support odd paddings (equivalent of nn.ConstantPad2d((1,2,1,2))) .