i meet a Segmentation fault (core dumped) when i load several models #114

jlygit · 2019-04-02T12:08:40Z

hello,
i meet a Segmentation fault (core dumped) when i load four models one times.

it crashs in this code:
executable_network = plugin.LoadNetwork(network, {{PluginConfigParams::KEY_CPU_BIND_THREAD, PluginConfigParams::YES},{PluginConfigParams::KEY_EXCLUSIVE_ASYNC_REQUESTS, PluginConfigParams::YES}});

and i gdb it shows:

it like a MKLDNNMemory::Create fail. and it crashs --Segmentation fault (core dumped)

why it do not return a fail and i can catch it.

shubha-ramani · 2019-04-02T16:47:04Z

Dear @jlygit,
core dumps are never good ! Can you attach your model and Inference Engine code as a zip to this ticket ? Also please let me know the mo command you used to generate IR.

As always, thanks for using OpenVino. Once I can reproduce this core dump, I will file a bug on your behalf.

Sincerely,

Shubha

ilyachur · 2019-04-03T03:44:46Z

Hi @jlygit,

The issue with memory allocation for the CPU plugin which looks like your problem, was fixed in the 2019 R1 release.
Could you download the latest OpenVino 2019 R1 which was just released today and try to reproduce your issue on the 2019 R1 release?

ilyachur · 2020-05-27T10:05:48Z

@jlygit Did the new version of OpeVINO solve your problem?

@dmitry-gorokhov FYI

AnastasiaKazantaeva · 2020-07-20T12:56:39Z

It seems that the issues is not actual anymore as no response. Closing it. Feel free to reopen it or create a new one.

VijayaKumarKamma · 2020-10-23T16:30:31Z

i am getting the same issue if i am using the latest engine with 2021.1 and model comes with 2019.r1 that is face-person detection. Please healp.

Add ov_tensor API

* WIP * update input validation * upsample_nearest2d and upsample_bilinear2d support * support leaky_relu add test for inplace relu * update tests, add handler for ListConstruct * Do not create extra outputs in main body * add positive case with non-default value * update testing * update test, handle non constant size and scale * remove ie_device * add aten::group_norm support * refactoring * Enable aten::reshape_as operator and add layer test * more tests * Fix typo in test * Resolve conflicts * fix code style * expand init version * expand_as and tests * add transposed convolutions support * add tests * initial support pad * add circular * update for differenced in rang * cleanup * refactor * more tests * apply review comments * Add split+listunpack transformation * Add split+getitem transformation * Add test cases * fix typo * Minor fixes * Apply suggestions from code review Co-authored-by: Maxim Vafin <[email protected]> * Apply suggestions from code review * Small fix * Support converting models without freezing * support BoolTensor and masked_fill * add support aten::rsqrt and test for sqrt * add cumsum and type_as * support clamp * support more matrix operations * add tests * Add aten::adaptive_avg_pool3d and layer test * Change to rank * fix code style in utils.hpp * Update src/frontends/pytorch/src/op_table.cpp Co-authored-by: Sergey Lyalin <[email protected]> * fix code style * add tests * add xfail * remove unnecessary broadcast * Changes required by style formater * aten::_convolution_mode * Changes requested by a reviewer * remove code duplication * add aten::unbind transformation * full, zeros and ones * Support getattr list and unrolling nested ifs * Remove line change * Enable back freezing in layer tests * Add aten::norm operator and layer test * Small fix in layer test * add aten::roll * add empty line * Typo fix * fix style * fix style v2 * add pytorch frontend to wheel * Support all types of numeric norms * add check for dynamic shapes * remove random change * merge statements * add min and max ops support * aten::max and aten::min * move axes range creation to utils * add transformation for tuple results, update tests * fix copyright * aten::var * add test and translation for numel * ignore aten::clone * Add layer test for aten::add operator * Fix typo * Remove redundant import * Add parameter name in forward method * fix code style * apply review comments * Add size+slice+listunpack transform * Add append listunpack transformation * Register transformation * aten::where * update realization * Fix issue with getitem * Fix getitem * Add layer test for aten::view operator * Add tests for listunpack * add test for aten::div * fix style * update aten::adaptive_max_pool2d * fix style * add aten::floor_divide * aten::addmm support alpha and beta with different dtype * nonzero * Change test name * update test cases to include other dtypes * aten::arange * prim::max transformation for ListConstruct * rename op * generalize conv2d implementation for conv1d and conv3d * aten::unsqueeze_ and tests for aten::unsqueeze (#70) * add aten::le, aten::ge and tests for other tensor comparision ops (#74) * add support trigonometry ops (#73) * support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72) Co-authored-by: Maxim Vafin <[email protected]> * extend and add tests for avg_pool and max_pool * extend tests and constant filling ops * fix as_tensor and full ops * aten::repeat * fix code style * aten::im2col (#61) * aten::im2col * remove debug prints, add number of elements check * fix failed tests * move helper function * use split * Update src/frontends/pytorch/src/op/im2col.cpp Co-authored-by: Maxim Vafin <[email protected]> * fix code style Co-authored-by: Maxim Vafin <[email protected]> * Update src/frontends/pytorch/src/utils.cpp Co-authored-by: Maxim Vafin <[email protected]> * fix code style * revert removeinf floordiv, add floor_divide file * Fix merge issue * reduce code duplication * refactor * Add len operator with layer test * update clamp to support mixed precision and add support torch.long for constants * aten::selu * add trunc mode to div * add else statement * Add test case to layer test * Fix submodules (#88) * update test file * fix namings * execute in fp64 and convert back to initial precision * Revert set_output_size to master. Small fix in If validate * Fix build and code style * fix failed tests * Add torchvision::nms operator and layer test * Change requested by a reviewer * Remove div test * convert constants to input type * Mark some cases in div tests as xfail (#93) * Small refactoring (#94) * Small refactoring * Fix type * Fix python codestyle * Incremental fix code style (#95) * Fix style (#96) * Fix copyright * Fix code style * Branch clean up (#97) * Optimize includes and force opset10 (#98) * Optimize includes * Force opset10 in pt fe * Fix codestyle (#99) * Fix style * Fix clang codestyle * Fix cerr with debug log * Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp * Add pytorch dependency only if pytorch frontend is enabled * Update src/bindings/python/src/pyopenvino/CMakeLists.txt * Add layer tests to precommit (#100) * Add layer tests to precommit * Remove accidentally added files * Apply code style on layer tests * batch norm tests and fixes * move default weight and bias to else block * reduce code duplication * Changes requested by a reviewer * Changes requested by a reviewer * Remove dependency from pytorch in pyopenvino (#102) * Remove dependency from pytorch when fe is disabled * Change docstring * Remove pytorch FE dependency from pyopenvino * Apply codestyle (#107) * Apply codestyle * Remove commented line * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Fix mock FE test (#108) * Fix mock PE test (#111) * Revert changes in StridedSlice (#114) * Small refactoring (#116) * Small refactoring * Fix codestyle * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Apply suggestions from code review * Update src/frontends/pytorch/src/op/group_norm.cpp * Fix cmake copyright define (#117) * Update src/frontends/pytorch/src/op/arange.cpp * Apply suggestions from code review * Update build configs (#120) * FIx build configs * Update type cast in full.cpp * Apply review feedback (#121) * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Fix issue after master merge (#122) * Fix issue after master merge * Fix build Co-authored-by: eaidova <[email protected]> Co-authored-by: bszmelcz <[email protected]> Co-authored-by: Sergey Lyalin <[email protected]> Co-authored-by: sikorsl1 <[email protected]> Co-authored-by: Leonard Sikorski <[email protected]> Co-authored-by: Mateusz <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]>

ilyachur added bug Something isn't working category: CPU OpenVINO CPU plugin labels May 27, 2020

AnastasiaKazantaeva closed this as completed Jul 20, 2020

eshoguli pushed a commit to eshoguli/openvino that referenced this issue Jun 1, 2021

Short reference switch (openvinotoolkit#114)

7ce55b6

riverlijunjie pushed a commit to riverlijunjie/openvino-1 that referenced this issue May 17, 2022

Merge pull request openvinotoolkit#114 from RICKIE777/ruiqi/tensor_C_API

64399e3

Add ov_tensor API

eaidova pushed a commit to eaidova/openvino that referenced this issue Jan 16, 2023

Revert changes in StridedSlice (openvinotoolkit#114)

8a371e1

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i meet a Segmentation fault (core dumped) when i load several models #114

i meet a Segmentation fault (core dumped) when i load several models #114

jlygit commented Apr 2, 2019

shubha-ramani commented Apr 2, 2019 •

edited

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ilyachur commented Apr 3, 2019

ilyachur commented May 27, 2020

AnastasiaKazantaeva commented Jul 20, 2020

VijayaKumarKamma commented Oct 23, 2020

i meet a Segmentation fault (core dumped) when i load several models #114

i meet a Segmentation fault (core dumped) when i load several models #114

Comments

jlygit commented Apr 2, 2019

shubha-ramani commented Apr 2, 2019 • edited Loading

ilyachur commented Apr 3, 2019

ilyachur commented May 27, 2020

AnastasiaKazantaeva commented Jul 20, 2020

VijayaKumarKamma commented Oct 23, 2020

shubha-ramani commented Apr 2, 2019 •

edited

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