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train_run.sh
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train_run.sh
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python run_training_vc.py \
--result-dir /mnt/hdd/repo_results/stylegan2vp/results_vc \
--data-dir /mnt/hdd/Datasets/CelebA_dataset \
--dataset celeba_tfr \
--num-gpus 2 \
--model_type vc_gan_with_vc_head \
--C_lambda 0.01 \
--random_eps True \
--latent_type uniform \
--delta_type onedim \
--module_list '[Conv-up-1, C_global-10, Conv-id-2, Noise-2, Conv-up-1, C_global-10, Conv-id-1, Noise-2, Conv-up-1, C_global-5, Conv-id-2, Noise-2, Conv-id-1, Noise-2, Conv-up-1, C_global-5, Conv-id-1, Noise-2, Conv-id-2, Conv-up-1, Conv-id-1]'
#python run_training_vc.py \
#--result-dir /mnt/hdd/repo_results/stylegan2vp/results_info \
#--data-dir /mnt/hdd/Datasets/CelebA_dataset \
#--dataset celeba_tfr \
#--num-gpus 2 \
#--model_type info_gan \
#--C_lambda 0.01 \
#--latent_type uniform \
#--module_list '[Conv-up-1, C_global-10, Conv-id-2, Noise-2, Conv-up-1, C_global-10, Conv-id-1, Noise-2, Conv-up-1, C_global-5, Conv-id-2, Noise-2, Conv-id-1, Noise-2, Conv-up-1, C_global-5, Conv-id-1, Noise-2, Conv-id-2, Conv-up-1, Conv-id-1]'