quantized engine QNNPACK is not supported Have you run the model on another platform with the same PyTorch version and script successfully? If not, could you give it a try? More, do you use the package from the below topic? PyTorch for Jetson Jetson Nano Below are pre-bui...
🐛 Describe the bug model = MultiTaskUnet(n_input_channels=n_input_channels, output_tasks=list(fields_to_predict.keys()), autoencoder_task=False, init_features=32) model.train() torch.backends.quantized.engine = "qnnpack" model.qconfig = ...
Afaik, the performance is not that great for qnnpack on x86 cpus and there were some other stability issues.@supriyar- do you know if it's better to reenable it? As a temp workaround - try settingtorch.backends.quantized.engine = 'qnnpack'to see whether it works. It's not an officia...