Thanks, will check it out. I’ve statically-quantized a model and stored the state dict locally, but loading it back gives me this error :
RuntimeError: Could not run 'quantized::conv_transpose1d_prepack' with arguments from the 'CPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'quantized::conv_transpose1d_prepack' is only available for these backends: [QuantizedCPU, BackendSelect, Named, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, Tracer, Autocast, Batched, VmapMode].
Any idea what this is about ? Thanks again