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adaptation-slr/containers/slr_ocr_job.log

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setting up the environment by loading singularity at Tue Jun 24 08:29:57 CDT 2025
singularity loaded, running the job command at Tue Jun 24 08:30:01 CDT 2025
WARNING: While bind mounting '/home/nws8519/git/adaptation-slr:/home/nws8519/git/adaptation-slr/': destination is already in the mount point list
==========
== CUDA ==
==========
CUDA Version 12.8.1
Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
INFO:olmocr.check:pdftoppm is installed and working.
2025-06-24 08:30:17,234 - __main__ - INFO - Got --pdfs argument, going to add to the work queue
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/usr/local/lib/python3.12/dist-packages/olmocr/pipeline.py", line 1228, in <module>
asyncio.run(main())
File "/usr/lib/python3.12/asyncio/runners.py", line 195, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/dist-packages/olmocr/pipeline.py", line 1105, in main
raise ValueError("pdfs argument needs to be either a local path, an s3 path, or an s3 glob pattern...")
ValueError: pdfs argument needs to be either a local path, an s3 path, or an s3 glob pattern...
job pau at: Tue Jun 24 08:30:18 CDT 2025