运行示例代码报错：FatalError: Segmentation fault is detected by the operating system.
#12647
Comments
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使用 paddlepaddle 2.5 |
大佬是指去下载 https://pypi.org/project/paddlepaddle-gpu/2.5.0/#files 吗？ |
|
感谢大佬。bug已解决～ |
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问题描述 / Problem Description
运行页面https://gitee.com/paddlepaddle/PaddleOCR/blob/main/doc/doc_ch/quickstart.md#22 中的python脚本报错FatalError:
Segmentation faultis detected by the operating system.[TimeInfo: *** Aborted at 1717498950 (unix time) try "date -d @1717498950" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x0) received by PID 4128 (TID 0x7fd9242d3740) from PID 0 ***]
Segmentation fault (core dumped)
运行环境 / Runtime Environment
复现代码 / Reproduction Code
from paddleocr import PaddleOCR, draw_ocr
ocr = PaddleOCR(use_angle_cls=True, lang='ch', use_gpu=True)
img_path = './ppocr_img/imgs/11.jpg'
result = ocr.ocr(img_path, cls=True)
for idx in range(len(result)):
res = result[idx]
for line in res:
print(line)
完整报错 / Complete Error Message
[2024/06/04 11:02:29] ppocr DEBUG: Namespace(alpha=1.0, alphacolor=(255, 255, 255), benchmark=False, beta=1.0, binarize=False, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='/root/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer', cls_thresh=0.9, cpu_threads=10, crop_res_save_dir='./output', det=True, det_algorithm='DB', det_box_type='quad', det_db_box_thresh=0.6, det_db_score_mode='fast', det_db_thresh=0.3, det_db_unclip_ratio=1.5, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_east_score_thresh=0.8, det_limit_side_len=960, det_limit_type='max', det_model_dir='/root/.paddleocr/whl/det_server/ch/ch_PP-OCRv4_det_server_infer', det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, det_pse_thresh=0, det_sast_nms_thresh=0.2, det_sast_score_thresh=0.5, draw_img_save_dir='./inference_results', drop_score=0.5, e2e_algorithm='PGNet', e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_limit_side_len=768, e2e_limit_type='max', e2e_model_dir=None, e2e_pgnet_mode='fast', e2e_pgnet_score_thresh=0.5, e2e_pgnet_valid_set='totaltext', enable_mkldnn=False, fourier_degree=5, gpu_id=0, gpu_mem=500, help='==SUPPRESS==', image_dir=None, image_orientation=False, invert=False, ir_optim=True, kie_algorithm='LayoutXLM', label_list=['0', '180'], lang='ch', layout=True, layout_dict_path=None, layout_model_dir=None, layout_nms_threshold=0.5, layout_score_threshold=0.5, max_batch_size=10, max_text_length=25, merge_no_span_structure=True, min_subgraph_size=15, mode='structure', ocr=True, ocr_order_method=None, ocr_version='PP-OCRv4', output='./output', page_num=0, precision='fp32', process_id=0, re_model_dir=None, rec=True, rec_algorithm='SVTR_LCNet', rec_batch_num=6, rec_char_dict_path='/opt/PaddleOCR-main/ppocr/utils/ppocr_keys_v1.txt', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_model_dir='/root/.paddleocr/whl/rec_server/ch/ch_PP-OCRv4_rec_server_infer', recovery=False, return_word_box=False, save_crop_res=False, save_log_path='./log_output/', savefile=False, scales=[8, 16, 32], ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ser_model_dir=None, show_log=True, sr_batch_num=1, sr_image_shape='3, 32, 128', sr_model_dir=None, structure_version='PP-StructureV2', table=True, table_algorithm='TableAttn', table_char_dict_path=None, table_max_len=488, table_model_dir=None, total_process_num=1, type='ocr', use_angle_cls=True, use_dilation=False, use_gpu=True, use_mlu=False, use_mp=False, use_npu=False, use_onnx=False, use_pdf2docx_api=False, use_pdserving=False, use_space_char=True, use_tensorrt=False, use_visual_backbone=True, use_xpu=False, vis_font_path='./doc/fonts/simfang.ttf', warmup=False)
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
C++ Traceback (most recent call last):
0 paddle_infer::Predictor::Predictor(paddle::AnalysisConfig const&)
1 std::unique_ptr<paddle::PaddlePredictor, std::default_deletepaddle::PaddlePredictor > paddle::CreatePaddlePredictor<paddle::AnalysisConfig, (paddle::PaddleEngineKind)2>(paddle::AnalysisConfig const&)
2 paddle::AnalysisPredictor::Init(std::shared_ptrpaddle::framework::Scope const&, std::shared_ptrpaddle::framework::ProgramDesc const&)
3 paddle::AnalysisPredictor::PrepareProgram(std::shared_ptrpaddle::framework::ProgramDesc const&)
4 paddle::AnalysisPredictor::OptimizeInferenceProgram()
5 paddle::inference::analysis::Analyzer::RunAnalysis(paddle::inference::analysis::Argument*)
6 paddle::inference::analysis::IrAnalysisPass::RunImpl(paddle::inference::analysis::Argument*)
7 paddle::inference::analysis::IRPassManager::Apply(std::unique_ptr<paddle::framework::ir::Graph, std::default_deletepaddle::framework::ir::Graph >)
8 paddle::framework::ir::Pass::Apply(paddle::framework::ir::Graph*) const
9 paddle::framework::ir::ConvEltwiseAddBNFusePass::ApplyImpl(paddle::framework::ir::Graph*) const
10 paddle::framework::ir::GraphPatternDetector::operator()(paddle::framework::ir::Graph*, std::function<void (std::map<paddle::framework::ir::PDNode*, paddle::framework::ir::Node*, std::lesspaddle::framework::ir::PDNode*, std::allocator<std::pair<paddle::framework::ir::PDNode* const, paddle::framework::ir::Node*> > > const&, paddle::framework::ir::Graph*)>)
11 paddle::framework::LoDTensor* paddle::framework::Variable::GetMutablepaddle::framework::LoDTensor()
12 paddle::framework::SignalHandle(char const*, int)
13 paddle::platform::GetCurrentTraceBackStringabi:cxx11
Error Message Summary:
FatalError:
Segmentation faultis detected by the operating system.[TimeInfo: *** Aborted at 1717498950 (unix time) try "date -d @1717498950" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x0) received by PID 4128 (TID 0x7fd9242d3740) from PID 0 ***]
Segmentation fault (core dumped)
可能解决方案 / Possible solutions
刚开始安装了cuda11.3，后来发现cuda版本和paddlepaddle-gpu 版本不匹配后又安装了cuda11.2(做成了cuda多版本切换)，仍然报错段错误。
另外，我的服务器因为特殊原因不连接互联网，以上所有都是离线安装。
附件 / Appendix
pip list显示docker内环境：
Package Version
aspy.yaml 1.3.0
astor 0.8.1
astroid 2.6.5
attrs 21.2.0
backports.entry-points-selectable 1.1.0
cached-property 1.5.2
certifi 2021.5.30
cfgv 3.3.0
charset-normalizer 2.0.4
cycler 0.11.0
decorator 5.0.9
distlib 0.3.2
filelock 3.0.12
gast 0.4.0
identify 2.2.11
idna 3.2
imageio 2.5.0
imgaug 0.4.0
importlib-metadata 4.6.3
iniconfig 1.1.1
ipykernel 4.6.0
ipython 5.3.0
ipython-genutils 0.2.0
isort 5.9.3
jupyter-client 6.1.12
jupyter-core 4.7.1
kiwisolver 1.1.0
lazy-object-proxy 1.6.0
lmdb 1.1.0
matplotlib 3.1.2
mccabe 0.6.1
networkx 2.6.2
nodeenv 1.6.0
numpy 1.17.0
opencv-python 3.4.10.35
packaging 21.0
paddlepaddle-gpu 2.1.3.post112
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.3.1
pip 20.0.1
platformdirs 2.2.0
pluggy 0.13.1
pre-commit 1.10.4
prompt-toolkit 1.0.18
protobuf 3.17.3
ptyprocess 0.7.0
py 1.10.0
pyclipper 1.3.0.post5
Pygments 2.9.0
pygobject 3.26.1
pylint 2.9.6
pyparsing 2.4.7
pytest 6.2.4
python-apt 1.6.5+ubuntu0.5
python-dateutil 2.8.2
PyWavelets 1.1.1
PyYAML 5.4.1
pyzmq 22.1.0
requests 2.26.0
scikit-image 0.19.3
scipy 1.4.1
setuptools 50.3.2
shapely 2.0.4
simplegeneric 0.8.1
six 1.16.0
tifffile 2019.7.26
toml 0.10.2
tornado 6.1
tqdm 4.62.0
traitlets 5.0.5
typed-ast 1.4.3
typing-extensions 3.10.0.0
unattended-upgrades 0.1
urllib3 1.26.6
virtualenv 20.7.0
wcwidth 0.2.5
wheel 0.36.2
wrapt 1.12.1
zipp 3.5.0
显卡情况：
两张3090
cuda版本：
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Jan_28_19:32:09_PST_2021
Cuda compilation tools, release 11.2, V11.2.142
Build cuda_11.2.r11.2/compiler.29558016_0
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