Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Test_ONNX_conformance.Layer_Test/test_gemm_default_matrix_bias_NGRAPH_CPU crashes #25472

Closed
4 tasks done
asmorkalov opened this issue Apr 22, 2024 · 0 comments · Fixed by #25518
Closed
4 tasks done

Test_ONNX_conformance.Layer_Test/test_gemm_default_matrix_bias_NGRAPH_CPU crashes #25472

asmorkalov opened this issue Apr 22, 2024 · 0 comments · Fixed by #25518
Assignees
@alexlyulkov
Labels
bug category: dnn (onnx) ONNX suport issues in DNN module
Milestone
4.10.0

Comments

@asmorkalov
Copy link
Contributor

System Information

OS: Ubuntu 18.04
OpenVINO: 2024.0

Detailed description

Related PR: #25465

Steps to reproduce

./bin/opencv_test_dnn --gtest_filter=Test_ONNX_conformance.Layer_Test/test_gemm_default_matrix_bias_NGRAPH_CPU
CTEST_FULL_OUTPUT
OpenCV version: 5.0.0-pre
OpenCV VCS version: 4.9.0-686-g07404e6da4-dirty
Build type: Release
Compiler: /usr/bin/c++  (ver 7.5.0)
Parallel framework: pthreads (nthreads=4)
CPU features: SSE SSE2 SSE3 *SSE4.1 *SSE4.2 *FP16? *AVX *AVX2? *AVX512-SKX?
Intel(R) IPP version: ippIP SSE4.2 (y8) 2021.11.0 (-) Feb  1 2024
Intel(R) IPP features code: 0x80
OpenCL Platforms: 
    NVIDIA CUDA
        dGPU: NVIDIA GeForce GTX 1080 (OpenCL 3.0 CUDA)
Current OpenCL device: 
    Type = dGPU
    Name = NVIDIA GeForce GTX 1080
    Version = OpenCL 3.0 CUDA
    Driver version = 530.30.02
    Address bits = 64
    Compute units = 20
    Max work group size = 1024
    Local memory size = 48 KB
    Max memory allocation size = 1 GB 1004 MB 16 KB
    Double support = Yes
    Half support = No
    Host unified memory = No
    Device extensions:
        cl_khr_global_int32_base_atomics
        cl_khr_global_int32_extended_atomics
        cl_khr_local_int32_base_atomics
        cl_khr_local_int32_extended_atomics
        cl_khr_fp64
        cl_khr_3d_image_writes
        cl_khr_byte_addressable_store
        cl_khr_icd
        cl_khr_gl_sharing
        cl_nv_compiler_options
        cl_nv_device_attribute_query
        cl_nv_pragma_unroll
        cl_nv_copy_opts
        cl_nv_create_buffer
        cl_khr_int64_base_atomics
        cl_khr_int64_extended_atomics
        cl_khr_device_uuid
        cl_khr_pci_bus_info
        cl_khr_external_semaphore
        cl_khr_external_memory
        cl_khr_external_semaphore_opaque_fd
        cl_khr_external_memory_opaque_fd
    Has AMD Blas = No
    Has AMD Fft = No
    Preferred vector width char = 1
    Preferred vector width short = 1
    Preferred vector width int = 1
    Preferred vector width long = 1
    Preferred vector width float = 1
    Preferred vector width double = 1
    Preferred vector width half = 0
TEST: Skip tests with tags: 'mem_6gb', 'verylong', 'dnn_skip_opencv_backend', 'dnn_skip_cpu', 'dnn_skip_cpu_fp16', 'dnn_skip_ocl', 'dnn_skip_ocl_fp16', 'dnn_skip_ie', 'dnn_skip_ie_ngraph', 'dnn_skip_ie_cpu', 'dnn_skip_ie_ocl', 'dnn_skip_ie_ocl_fp16', 'dnn_skip_onnx_conformance', 'dnn_skip_parser'
Note: Google Test filter = Test_ONNX_conformance.Layer_Test/test_gemm_default_matrix_bias_NGRAPH_CPU
[==========] Running 1 test from 1 test case.
[----------] Global test environment set-up.
[----------] 1 test from Test_ONNX_conformance
[ RUN      ] Test_ONNX_conformance.Layer_Test/test_gemm_default_matrix_bias_NGRAPH_CPU, where GetParam() = (test_gemm_default_matrix_bias, NGRAPH/CPU)
Ошибка сегментирования (стек памяти сброшен на диск)

Issue submission checklist

  • I report the issue, it's not a question
  • I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
  • I updated to the latest OpenCV version and the issue is still there
  • There is reproducer code and related data files (videos, images, onnx, etc)
@asmorkalov asmorkalov added the bug label Apr 22, 2024
@asmorkalov asmorkalov added this to the 5.0 milestone Apr 22, 2024
@asmorkalov asmorkalov added the category: dnn (onnx) ONNX suport issues in DNN module label Apr 23, 2024
@alexlyulkov alexlyulkov mentioned this issue May 1, 2024
Merged
6 tasks
@asmorkalov asmorkalov modified the milestones: 5.0, 4.10.0 May 6, 2024
asmorkalov pushed a commit that referenced this issue May 14, 2024
@alexlyulkov
Merge pull request #25518 from alexlyulkov:al/fixed-gemm-openvino
03507e0 
Fixed OpenVINO gemm layer #25518

Fixed OpenVINO gemm layer
The problem was that our layer didn't properly handle all the possible gemm options in OpenVINO mode
Fixes #25472

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
klatism pushed a commit to klatism/opencv that referenced this issue May 17, 2024
@alexlyulkov @klatism
Merge pull request opencv#25518 from alexlyulkov:al/fixed-gemm-openvino
1746e55 
Fixed OpenVINO gemm layer opencv#25518

Fixed OpenVINO gemm layer
The problem was that our layer didn't properly handle all the possible gemm options in OpenVINO mode
Fixes opencv#25472

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@alexlyulkov alexlyulkov

Labels
bug category: dnn (onnx) ONNX suport issues in DNN module
Projects
None yet
Milestone
4.10.0
Development

Successfully merging a pull request may close this issue.

Fixed OpenVINO gemm layer alexlyulkov/opencv
2 participants
@asmorkalov @alexlyulkov