Comments (1)
lmxyy
commented on June 2, 2024
Sorry for the confusion!
This is because our pre-trained final compressed model is not exported from this pre-trained supernet as the previous supernet was deprecated due to the outdated code. You could search for the subnet yourself by
python evolution_search.py --dataroot database/horse2zebra/trainA \
--dataset_mode single --phase train \
--restore_G_path pretrained/cycle_gan/horse2zebra_fast/supernet/latest_net_G.pth \
--output_dir logs/cycle_gan/horse2zebra_fast/supernet/evolution \
--ngf 64 --batch_size 32 \
--config_set channels-64-cycleGAN --mutate_prob 0.4 \
--real_stat_path real_stat/horse2zebra_B.npz --budget 3e9 \
--weighted_sample 2 --meta_path datasets/metas/horse2zebra/train2A.metaYou are supposed to find such a configuration
fid: 64.79, config_str: 16_16_32_16_32_64_16_16, macs: 2942042112
Then you could export the model with
bash scripts/cycle_gan/horse2zebra_fast/export.sh 16_16_32_16_32_64_16_16from gan-compression.
Related Issues (20)
- Gray-Scale Input Support HOT 1
- What do these two paths mean?（--metaA_path --metaB_path） HOT 3
- About Select the Best Model (evolution_search.py) HOT 2
- distilling on higer resolution HOT 2
- Distill Problem HOT 4
- "Once-for-all" Network Training Problem HOT 2
- TypeError: _output_padding() missing 1 required positional argument: 'num_spatial_dims' HOT 4
- Guidance to covert pth to ptl
- [Question] About SuperSeparableConv2d HOT 2
- Cannot access to https://hanlab.mit.edu/ HOT 1
- ERROR 403: Forbidden HOT 5
- Request for Access to Pretrained Model for Verification and Replication Purposes. HOT 1
- Looking forward to the results of P-KDGAN on image synthesis
- Does this way can apply to pix2pixHD model? HOT 2
- How to generate cityscape_A.npz HOT 1
- where is bash scripts/cycle_gan/horse2zebra/search.sh? HOT 1
- "download_real_stat.sh" doesn't work.
- Question about the budget setting HOT 2
- about SuperConv2d HOT 2
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from gan-compression.