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marker /Literature_Lib/lit_data/ /Literature_Lib/output/ --workers 1 --max 2
Loaded detection model vikp/surya_det3 on device cpu with dtype torch.float32
Loaded detection model vikp/surya_layout3 on device cpu with dtype torch.float32
Loaded reading order model vikp/surya_order on device cpu with dtype torch.float32
Loaded recognition model vikp/surya_rec2 on device cpu with dtype torch.float32
Loaded texify model to cpu with torch.float32 dtype
Bus error (core dumped)
Convert a single file runs correctly, but converting multiple files produces the above error.
I am using the CPU mode and 128GB of RAM.
The text was updated successfully, but these errors were encountered:
try to add --shm-size to what ever size you want , based on flowing note:
--workers is the number of pdfs to convert at once. This is set to 1 by default, but you can increase it to increase throughput, at the cost of more CPU/GPU usage. Marker will use 5GB of VRAM per worker at the peak, and 3.5GB average.
marker /Literature_Lib/lit_data/ /Literature_Lib/output/ --workers 1 --max 2
Loaded detection model vikp/surya_det3 on device cpu with dtype torch.float32
Loaded detection model vikp/surya_layout3 on device cpu with dtype torch.float32
Loaded reading order model vikp/surya_order on device cpu with dtype torch.float32
Loaded recognition model vikp/surya_rec2 on device cpu with dtype torch.float32
Loaded texify model to cpu with torch.float32 dtype
Bus error (core dumped)
Convert a single file runs correctly, but converting multiple files produces the above error.
I am using the CPU mode and 128GB of RAM.
The text was updated successfully, but these errors were encountered: