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How can I train with multi-input like (A1 ,A2)->B? I used to try torch.cat to conbine (A1,A2,,A3,A4) but it would change the channel into 4 and get an error.
When I try to change the input_nc =1 and output_nc =4, the error told me assert(opt.input_nc == opt.output_nc).
So, how can I use more then 2 input into the train?
The text was updated successfully, but these errors were encountered:
How can I train with multi-input like (A1 ,A2)->B? I used to try torch.cat to conbine (A1,A2,,A3,A4) but it would change the channel into 4 and get an error.
When I try to change the input_nc =1 and output_nc =4, the error told me assert(opt.input_nc == opt.output_nc).
So, how can I use more then 2 input into the train?
The text was updated successfully, but these errors were encountered: