xwd-szu

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the same problems, Did you find a solution?

run with only one Gpu , a problem of diffrent input image size run with two Gpus , one GPUS input image size = (1,3,335,500) while another GPUS input image...

ok!thank to your answer!however,how i train with my own datasets,and what mean under dataloaders TXT file ,is there any py_file to generate these txt_file?

I re-pulled your code, all settings have not changed. I am running on two A100 GPUs, but the result is still not ideal.

Thanks for your reply! I checked the problem you mentioned and ran it a few more times, now it meets the metrics of the paper on the Sintel dataset, but...

i means feat_q and feat_k dim ,is B * C * W * H?or other?and each dim means?

thanks for your answer. ![image](https://user-images.githubusercontent.com/46392987/168208329-54dd411c-79ef-4309-9567-7808510473c7.png) this feat_id is means? ![image](https://user-images.githubusercontent.com/46392987/168208410-df01ed44-2035-4286-9b91-561db979cdf5.png) the output dim of this netG?and each dim means? Look forward to your answer!!

Can you provides the code of T-SNE of features visualization? thank you very much!!!

Have you found this good implementation?

> problem i still can't sovel it