/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696 张 Evaluating images: 0%| | 0/696 [00:00 results = evaluate_quantitative_scores_text2img( File "/mnt/petrelfs/leihaodong/ICLR25/eval/evaluation_metrics.py", line 309, in evaluate_quantitative_scores_text2img image = Image.open(image_file) File "/mnt/petrelfs/leihaodong/anaconda3/envs/eval_xx/lib/python3.10/site-packages/PIL/Image.py", line 3560, in open raise UnidentifiedImageError(msg) PIL.UnidentifiedImageError: cannot identify image file '/mnt/petrelfs/leihaodong/ICLR25/exp/Lumina-mGPT-7B-768_PartiPrompts/mscr_sjd_0.05/img/695.png' srun: error: SH-IDC1-10-140-37-43: task 0: Exited with exit code 1