scripts/eval/slurm-6234587.out

/mnt/petrelfs/leihaodong/anaconda3/envs/eval_xx/lib/python3.10/site-packages/torchmetrics/utilities/prints.py:43: UserWarning: Metric `InceptionScore` will save all extracted features in buffer. For large datasets this may lead to large memory footprint.
  warnings.warn(*args, **kwargs)
/mnt/petrelfs/leihaodong/anaconda3/envs/eval_xx/lib/python3.10/site-packages/open_clip/factory.py:450: UserWarning: QuickGELU mismatch between final model config (quick_gelu=False) and pretrained tag 'openai' (quick_gelu=True).
  warnings.warn(
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
Loading PartiPrompts from /mnt/petrelfs/leihaodong/ICLR25/sjdtree/data/prompts/PartiPrompts.tsv for GPU 0, Node 0
Number of unique prompts: 1632 | Max prompt length: 389
一共932 张

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  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
/mnt/petrelfs/leihaodong/ICLR25/eval/HPSv2/hpsv2/img_score.py:107: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast():

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INFO:absl:IS: (tensor(17.2924, device='cuda:0'), tensor(1.6669, device='cuda:0'))
INFO:absl:CLIP_T: 0.19844276723032217
INFO:absl:HPSv2: 0.28268498105552575
INFO:absl:Aesthetic: 6.514075135212599
Scores:
IS: (tensor(17.2924, device='cuda:0'), tensor(1.6669, device='cuda:0'))
CLIP_T: 0.19844276723032217
HPSv2: 0.28268498105552575
Aesthetic: 6.514075135212599