paddleocr structure v3识别pdf时报错如下，怎么解决，求助大神！

[qx5000]

鲲鹏9204+昇腾910b48（单颗npu32G显存，使用其中4、5号npu）+512G内存
报错如下：

C++ Traceback (most recent call last):

0 paddle::AnalysisPredictor::ZeroCopyRun(bool)
1 paddle::framework::NaiveExecutor::RunInterpreterCore(std::vector<std::string, std::allocator<std::string > > const&, bool, bool)
2 paddle::framework::InterpreterCore::Run(std::vector<std::string, std::allocator<std::string > > const&, bool, bool, bool, bool)
3 paddle::framework::PirInterpreter::Run(std::vector<std::string, std::allocator<std::string > > const&, bool, bool, bool, bool)
4 paddle::framework::PirInterpreter::TraceRunImpl()
5 paddle::framework::PirInterpreter::TraceRunInstructionList(std::vector<std::unique_ptr<paddle::framework::InstructionBase, std::default_deletepaddle::framework::InstructionBase >, std::allocator<std::unique_ptr<paddle::framework::InstructionBase, std::default_deletepaddle::framework::InstructionBase > > > const&)
6 paddle::framework::PirInterpreter::RunInstructionBase(paddle::framework::InstructionBase*)
7 paddle::framework::PhiKernelInstruction::Run()
8 phi::KernelImpl<void ()(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, phi::DenseTensor), &(void phi::ConvKernel<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, phi::DenseTensor*))>::Compute(phi::KernelContext*)
9 void phi::ConvKernelImpl<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, int, std::vector<int, std::allocator > const&, std::string const&, phi::DenseTensor*)
10 phi::funcs::Im2ColFunctor<(phi::funcs::ColFormat)0, phi::CPUContext, float>::operator()(phi::CPUContext const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, phi::DenseTensor*, common::DataLayout)

---

Error Message Summary:

FatalError: Segmentation fault is detected by the operating system.
[TimeInfo: *** Aborted at 1758613257 (unix time) try "date -d @1758613257" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0xbf23) received by PID 48931 (TID 0xffff93285e90) from PID 48931 ***]

Segmentation fault (core dumped)

代码如下：
from pathlib import Path
from paddleocr import PPStructureV3

input_file = "./1.pdf"
output_path = Path("./output")

pipeline = PPStructureV3()
output = pipeline.predict(input=input_file)

markdown_list = []
markdown_images = []

for res in output:
md_info = res.markdown
markdown_list.append(md_info)
markdown_images.append(md_info.get("markdown_images", {}))
res.print() ## 打印预测的结构化输出
res.save_to_json(save_path="output") ## 保存当前图像的结构化json结果
res.save_to_markdown(save_path="output") ## 保存当前图像的markdown格式的结果
res.save_to_img(save_path="output") ## 保存带标注的可视化图片

markdown_texts = pipeline.concatenate_markdown_pages(markdown_list)

mkd_file_path = output_path / f"{Path(input_file).stem}.md"
mkd_file_path.parent.mkdir(parents=True, exist_ok=True)

with open(mkd_file_path, "w", encoding="utf-8") as f:
f.write(markdown_texts)

for item in markdown_images:
if item:
for path, image in item.items():
file_path = output_path / path
file_path.parent.mkdir(parents=True, exist_ok=True)
image.save(file_path)

[Bobholamovic]

请尝试pipeline = PPStructureV3(device="npu")