scripts/eval/slurm-6234589.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696 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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Evaluating images:  95%|█████████▍| 661/696 [25:25<01:18,  2.25s/it]
Evaluating images:  95%|█████████▌| 662/696 [25:27<01:16,  2.25s/it]
Evaluating images:  95%|█████████▌| 663/696 [25:29<01:13,  2.24s/it]
Evaluating images:  95%|█████████▌| 664/696 [25:32<01:10,  2.22s/it]
Evaluating images:  96%|█████████▌| 665/696 [25:34<01:13,  2.36s/it]
Evaluating images:  96%|█████████▌| 666/696 [25:37<01:09,  2.32s/it]
Evaluating images:  96%|█████████▌| 667/696 [25:39<01:06,  2.30s/it]
Evaluating images:  96%|█████████▌| 668/696 [25:41<01:03,  2.28s/it]
Evaluating images:  96%|█████████▌| 669/696 [25:43<01:01,  2.28s/it]
Evaluating images:  96%|█████████▋| 670/696 [25:46<00:58,  2.27s/it]
Evaluating images:  96%|█████████▋| 671/696 [25:48<00:56,  2.24s/it]
Evaluating images:  97%|█████████▋| 672/696 [25:50<00:53,  2.23s/it]
Evaluating images:  97%|█████████▋| 673/696 [25:52<00:50,  2.22s/it]
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Evaluating images:  97%|█████████▋| 675/696 [25:57<00:46,  2.22s/it]
Evaluating images:  97%|█████████▋| 676/696 [25:59<00:44,  2.22s/it]
Evaluating images:  97%|█████████▋| 677/696 [26:01<00:42,  2.23s/it]
Evaluating images:  97%|█████████▋| 678/696 [26:03<00:40,  2.23s/it]
Evaluating images:  98%|█████████▊| 679/696 [26:05<00:37,  2.20s/it]
Evaluating images:  98%|█████████▊| 680/696 [26:08<00:35,  2.23s/it]
Evaluating images:  98%|█████████▊| 681/696 [26:10<00:33,  2.23s/it]
Evaluating images:  98%|█████████▊| 682/696 [26:12<00:31,  2.24s/it]
Evaluating images:  98%|█████████▊| 683/696 [26:14<00:28,  2.23s/it]
Evaluating images:  98%|█████████▊| 684/696 [26:17<00:26,  2.23s/it]
Evaluating images:  98%|█████████▊| 685/696 [26:19<00:24,  2.23s/it]
Evaluating images:  99%|█████████▊| 686/696 [26:21<00:22,  2.23s/it]
Evaluating images:  99%|█████████▊| 687/696 [26:23<00:20,  2.24s/it]
Evaluating images:  99%|█████████▉| 688/696 [26:26<00:17,  2.23s/it]
Evaluating images:  99%|█████████▉| 689/696 [26:28<00:16,  2.36s/it]
Evaluating images:  99%|█████████▉| 690/696 [26:30<00:13,  2.32s/it]
Evaluating images:  99%|█████████▉| 691/696 [26:33<00:11,  2.31s/it]
Evaluating images:  99%|█████████▉| 692/696 [26:35<00:09,  2.29s/it]
Evaluating images: 100%|█████████▉| 693/696 [26:37<00:06,  2.29s/it]
Evaluating images: 100%|█████████▉| 694/696 [26:40<00:04,  2.28s/it]
Evaluating images: 100%|█████████▉| 695/696 [26:42<00:02,  2.27s/it]
Evaluating images: 100%|█████████▉| 695/696 [26:42<00:02,  2.31s/it]
Traceback (most recent call last):
  File "/mnt/petrelfs/leihaodong/ICLR25/eval/evaluation_metrics.py", line 436, in <module>
    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