昨天运行正常，今天报错

[userandpass]

Description of the bug | 错误描述

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C++ Traceback (most recent call last):

0 at::_ops::conv2d::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt)
1 at::native::conv2d_symint(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt)
2 at::_ops::convolution::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
3 at::_ops::convolution::redispatch(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
4 at::native::convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, bool, c10::ArrayRef, long)
5 at::_ops::_convolution::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool)
6 at::native::_convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, bool, c10::ArrayRef, long, bool, bool, bool, bool)
7 at::_ops::cudnn_convolution::call(at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool)
8 at::native::cudnn_convolution(at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, bool)

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Error Message Summary:

FatalError: Segmentation fault is detected by the operating system.
[TimeInfo: *** Aborted at 1729068556 (unix time) try "date -d @1729068556" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x20000002eea) received by PID 717693 (TID 0x7f00bb34a740) from PID 12010 ***]

Segmentation fault (core dumped)

How to reproduce the bug | 如何复现

magic-pdf -p test_2.pdf -o ./

Operating system | 操作系统

Linux

Python version | Python 版本

3.10

Software version | 软件版本 (magic-pdf --version)

0.8.x

Device mode | 设备模式

cuda

[myhloli]

昨天到今天有对运行环境做过改动吗，比如新装或者更新pip包

[userandpass]

昨天到今天有对运行环境做过改动吗，比如新装或者更新pip包

我好像是昨天执行的时候，提示我paddle没有用gpu，我就按照教程又装了paddlepaddle-gpu的包，后面没再测试，今天再用就不行了，但是我刚才尝试只保留paddlepaddle或者paddlepaddle-gpu，都不行，会报ModuleNotFoundError: No module named 'paddle'

[myhloli]

应该是系统环境和paddlegpu不兼容，可以先把paddle和paddlegpu都卸了再装paddlepaddle就可以了

[userandpass]

应该是系统环境和paddlegpu不兼容，可以先把paddle和paddlegpu都卸了再装paddlepaddle就可以了

刚才试了，还是报这个错，我只保留paddle和只保留paddlegpu都试了

[myhloli]

那可能是cuda环境被破坏了，可以试着创建一个新的conda环境，重新按教程装一遍

[userandpass]

那可能是cuda环境被破坏了，可以试着创建一个新的conda环境，重新按教程装一遍

我按照教程重装一遍的话，是不是不能再装paddlegpu了

[myhloli]

如果是环境不兼容的话，不推荐安装paddlegpu

[userandpass]

如果是环境不兼容的话，不推荐安装paddlegpu

好的，谢谢