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But when I was training this model, the training log showed Nan in loss, and this happened even in your uploaded exp folder. I guess maybe it is caused by the smooth loss calculation (pred_distance).
I also encountered the same problem, args.N_rgb = 4096, and len(pred_distance) = 4096, hence pred_distance_smooth = [], and ultimately caused NAN loss.
Hi, many thanks for the great work.
But when I was training this model, the training log showed Nan in loss, and this happened even in your uploaded exp folder. I guess maybe it is caused by the smooth loss calculation (pred_distance).
pred_distance = pred_distance[:args.N_rgb], pred_distance_coarse = pred_distance_coarse[:args.N_rgb], pred_distance_smooth = pred_distance[args.N_rgb:]
Do you have any suggestion for this problem? Thank you!
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