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Hello , when I executed the package installation, and then used the command python multi_thread_process_to_doc.py <pdf-path> --process-num 8, I encountered this issue.
I thought it might be an issue with my CUDA version, so I switched from the default CUDA-12.4 to 11.3. However, it still didn't work. CUDA-11.3 includes libcudart.so.11.0, but it is linked to libcudart.so.11.3.58.
Details are shown as follows.
Next, I changed the cuda version.
The problem still exists.
I use python3.8.
I hope someone can help me solve this problem. I would be extremely grateful.
The text was updated successfully, but these errors were encountered:
Suggest that you create a new conda environment and use cuda-version 11.8 by following command, I have successfully run through with this version. conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia pip install torchvision==0.18.0+cu118 -f https://download.pytorch.org/whl/torch_stable.html
But unfortunately I think it is necessary to tell you is that the effect of parsing pdf code is very mediocre.
Hello , when I executed the package installation, and then used the command
python multi_thread_process_to_doc.py <pdf-path> --process-num 8
, I encountered this issue.I thought it might be an issue with my CUDA version, so I switched from the default CUDA-12.4 to 11.3. However, it still didn't work. CUDA-11.3 includes libcudart.so.11.0, but it is linked to libcudart.so.11.3.58.
Details are shown as follows.
Next, I changed the cuda version.
The problem still exists.
I use python3.8.
I hope someone can help me solve this problem. I would be extremely grateful.
The text was updated successfully, but these errors were encountered: