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Dear Authors,
Thank you for sharing the amazing and inspiring pruning work!
As mentioned in celebahq-ldm-vq-4.yaml line59, CelebaHQ is unconditional stage_config
While running the pruning, I am getting the following error:
Pruning ...
Traceback (most recent call last):
File "prune_ldm_celeba.py", line 75, in
uc = model.get_learned_conditioning(
File "/raid/akshay/satyabrat/DiffPruneLDM/Diff-Pruning/ldm_exp/ldm/models/diffusion/ddpm.py", line 561, in get_learned_conditioning
c = self.cond_stage_model(c)
TypeError: 'NoneType' object is not callable
Command used to run:
CUDA_VISIBLE_DEVICES=1 python prune_ldm.py --sparsity 0.3 --pruner random
Could you please share your code and config for CelebaHQ Dataset as reported in the paper.
The text was updated successfully, but these errors were encountered:
Dear Authors,
Thank you for sharing the amazing and inspiring pruning work!
As mentioned in celebahq-ldm-vq-4.yaml line59, CelebaHQ is unconditional stage_config
While running the pruning, I am getting the following error:
Pruning ...
Traceback (most recent call last):
File "prune_ldm_celeba.py", line 75, in
uc = model.get_learned_conditioning(
File "/raid/akshay/satyabrat/DiffPruneLDM/Diff-Pruning/ldm_exp/ldm/models/diffusion/ddpm.py", line 561, in get_learned_conditioning
c = self.cond_stage_model(c)
TypeError: 'NoneType' object is not callable
Command used to run:
CUDA_VISIBLE_DEVICES=1 python prune_ldm.py --sparsity 0.3 --pruner random
Could you please share your code and config for CelebaHQ Dataset as reported in the paper.
The text was updated successfully, but these errors were encountered: