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.
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.