Closed xuquankun closed 2 months ago
No stack trace in paddle, may be caused by external reasons.
FatalError: Segmentation fault
is detected by the operating system.
[TimeInfo: Aborted at 1721780617 (unix time) try "date -d @1721780617" if you are using GNU date ]
[SignalInfo: SIGSEGV (@0x0) received by PID 878180 (TID 0x7f66f04cc280) from PID 0 ]
Segmentation fault (core dumped)
I have the same problem. My environment info:
sys.platform linux
Python 3.10.12 (main, Feb 13 2024, 08:27:59) [GCC 11.4.0]
numpy 1.26.4
detectron2 0.6 @/home/jorge/.pyenv/versions/PDF-Extract-Kit/lib/python3.10/site-packages/detectron2
Compiler GCC 9.4
CUDA compiler CUDA 12.1
detectron2 arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0
DETECTRON2_ENV_MODULE <not set>
PyTorch 2.3.1+cu121 @/home/jorge/.pyenv/versions/PDF-Extract-Kit/lib/python3.10/site-packages/torch
PyTorch debug build False
GPU available Yes
GPU 0,1 NVIDIA RTX A2000 12GB (arch=8.6)
Driver version 555.99
CUDA_HOME /usr/local/cuda-11.2
Pillow 8.4.0
torchvision 0.18.1+cu121 @/home/jorge/.pyenv/versions/PDF-Extract-Kit/lib/python3.10/site-packages/torchvision
torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0
fvcore 0.1.5.post20221221
iopath 0.1.9
cv2 4.6.0
@xuquankun @aceliuchanghong @jorgeolothar update paddlepaddle to 3.0.0b1 can solve this problem.
pip install paddlepaddle==3.0.0b1
@xuquankun @aceliuchanghong @jorgeolothar update paddlepaddle to 3.0.0b1 can solve this problem.
pip install paddlepaddle==3.0.0b1
thx
Error Message Summary:
FatalError:
Segmentation fault
is detected by the operating system. [TimeInfo: Aborted at 1720767407 (unix time) try "date -d @1720767407" if you are using GNU date ] [SignalInfo: SIGSEGV (@0x0) received by PID 13625 (TID 0x7fc896847180) from PID 0 ]段错误 (核心已转储)