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CMU-Perceptual-Computing-Lab / openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
https://cmu-perceptual-computing-lab.github.io/openpose
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CUDNN_STATUS_INTERNAL_ERROR error #2266

Open comgs2 opened 6 months ago

comgs2 commented 6 months ago

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Issue Summary

CUDNN_STATUS_INTERNAL_ERROR has occurred.

Executed Command (if any)

Note: add --logging_level 0 --disable_multi_thread to get higher debug information.

./build/examples/openpose/openpose.bin --video examples/media/video.avi --face --hand

OpenPose Output (if any)

$ ./build/examples/openpose/openpose.bin --video examples/media/video.avi --face --hand Starting OpenPose demo... Configuring OpenPose... Starting thread(s)... Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0. F1218 14:40:00.012526 763422 cudnn_relu_layer.cpp:13] Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0) CUDNN_STATUS_INTERNAL_ERROR Check failure stack trace: @ 0x7f54e6fadb03 google::LogMessage::Fail() @ 0x7f54e6fb59d1 google::LogMessage::SendToLog() @ 0x7f54e6fad7c2 google::LogMessage::Flush() @ 0x7f54e6faf78f google::LogMessageFatal::~LogMessageFatal() @ 0x7f54e5da8850 caffe::CuDNNReLULayer<>::LayerSetUp() @ 0x7f54e5e7f65c caffe::Net<>::Init() @ 0x7f54e5e81550 caffe::Net<>::Net() @ 0x7f54e6c1f49c op::NetCaffe::initializationOnThread() @ 0x7f54e6c03bdd op::HandExtractorCaffe::netInitializationOnThread() @ 0x7f54e6c051f6 op::HandExtractorNet::initializationOnThread() @ 0x7f54e6c66cb5 op::Worker<>::initializationOnThreadNoException() @ 0x7f54e6c66e28 op::SubThread<>::initializationOnThread() @ 0x7f54e6c68838 op::Thread<>::initializationOnThread() @ 0x7f54e6c6adbc op::Thread<>::threadFunction() @ 0x7f54e66dc253 (unknown) @ 0x7f54e6294ac3 (unknown) @ 0x7f54e6326660 (unknown) @ (nil) (unknown) 中止 (コアダンプ)

Errors (if any)

CUDNN_STATUS_INTERNAL_ERROR

Type of Issue

Select the topic(s) on your post, delete the rest:

Your System Configuration

  1. Whole console output (if errors appeared), paste the error to PasteBin and then paste the link here: LINK

$ ./build/examples/openpose/openpose.bin --video examples/media/video.avi --face --hand Starting OpenPose demo... Configuring OpenPose... Starting thread(s)... Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0. F1218 14:40:00.012526 763422 cudnn_relu_layer.cpp:13] Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0) CUDNN_STATUS_INTERNAL_ERROR Check failure stack trace: @ 0x7f54e6fadb03 google::LogMessage::Fail() @ 0x7f54e6fb59d1 google::LogMessage::SendToLog() @ 0x7f54e6fad7c2 google::LogMessage::Flush() @ 0x7f54e6faf78f google::LogMessageFatal::~LogMessageFatal() @ 0x7f54e5da8850 caffe::CuDNNReLULayer<>::LayerSetUp() @ 0x7f54e5e7f65c caffe::Net<>::Init() @ 0x7f54e5e81550 caffe::Net<>::Net() @ 0x7f54e6c1f49c op::NetCaffe::initializationOnThread() @ 0x7f54e6c03bdd op::HandExtractorCaffe::netInitializationOnThread() @ 0x7f54e6c051f6 op::HandExtractorNet::initializationOnThread() @ 0x7f54e6c66cb5 op::Worker<>::initializationOnThreadNoException() @ 0x7f54e6c66e28 op::SubThread<>::initializationOnThread() @ 0x7f54e6c68838 op::Thread<>::initializationOnThread() @ 0x7f54e6c6adbc op::Thread<>::threadFunction() @ 0x7f54e66dc253 (unknown) @ 0x7f54e6294ac3 (unknown) @ 0x7f54e6326660 (unknown) @ (nil) (unknown) 中止 (コアダンプ)

  1. OpenPose version: Latest GitHub code? Or specific commit (e.g., d52878f)? Or specific version from Release section (e.g., 1.2.0)?

master

  1. General configuration:

    • Installation mode: default

    • Operating system (lsb_release -a in Ubuntu): No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 22.04.3 LTS Release: 22.04 Codename: jammy

    • Operating system version (e.g., Ubuntu 16, Windows 10, ...): ubnutu 22.04

    • Release or Debug mode? (by default: release): release

    • Compiler : gcc version 11.4.0

  2. Non-default settings:

    • 3-D Reconstruction module added? (by default: no):
    • Any other custom CMake configuration with respect to the default version? (by default: no):

  3. 3rd-party software:

    • Caffe version: Default from OpenPose, custom version, ...?
    • CMake version (cmake --version in Ubuntu):
    • OpenCV version: pre-compiled apt-get install libopencv-dev (only Ubuntu); OpenPose default (only Windows); compiled from source? If so, 2.4.9, 2.4.12, 3.1, 3.2?; ...?

  4. If GPU mode issue:

    • CUDA version (cat /usr/local/cuda/version.txt in most cases): cuda 12.1
    • cuDNN version: libcudnn8-dev 8.9.3.28-1+cuda12.1
    • GPU model (nvidia-smi in Ubuntu):RTX 3090

  5. If CPU-only mode issue:

    • CPU brand & model:
    • Total RAM memory available:

  6. If Python API:

    • Python version: 2.7, 3.7, ...?:3.10
    • Numpy version (python -c "import numpy; print numpy.version.version" in Ubuntu):1.26.2

  7. If Windows system:

    • Portable demo or compiled library?

  8. If speed performance issue: