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Hello there, I'm trying to train the model on ADE20K dataset, but after a few epoches of training, the losses turned into NaN and D_real turned into 0.000(generated blank images). Would you please tell me what could be the problem? Thanks a lot!
Here's how I trained: python train.py --name ADE --load_size 256 --crop_size 256 --dataset_mode custom --label_dir /home/ADEChallengeData2016/annotations/training --image_dir /home/ADEChallengeData2016/images/training --label_nc 151 --no_instance --batchSize 2 --gpu_ids 7
The text was updated successfully, but these errors were encountered:
I am not sure how you implemented the model on ADE20K dataset. You may need to use torch.nn.ModuleList to manage your per-region Conv. For simplicity, you can try to relax the constraint of per-region Conv and replace it with general 3*3 Convs.
Hello there, I'm trying to train the model on ADE20K dataset, but after a few epoches of training, the losses turned into NaN and D_real turned into 0.000(generated blank images). Would you please tell me what could be the problem? Thanks a lot!
Here's how I trained:
python train.py --name ADE --load_size 256 --crop_size 256 --dataset_mode custom --label_dir /home/ADEChallengeData2016/annotations/training --image_dir /home/ADEChallengeData2016/images/training --label_nc 151 --no_instance --batchSize 2 --gpu_ids 7
The text was updated successfully, but these errors were encountered: