ydc123 / cnncap Goto Github PK

Hello! We found that the input data grid division in your paper and the input data in the open source code do not match (maybe I did not understand it thoroughly), I would like to ask you to answer,thank you!

Hello! We changed the default of parser.add_argument('--goal', type=str, default='env', choices=['total', 'env', 'all']) to 'env', At this time, y_pred should predict the coupling capacitance value, and ys corresponds to the true value of the coupling capacitance, but our debug code finds that the value does not correspond,this problem is reflected in for i, (xs, ys, masks, ys_total) in enumerate(tqdm(train_loader)): The value of xs and ys taken out is different from the corresponding value in train_loader. How can I get the value of coupling capacitance?Thank you!!