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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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CUDA check failed error:cudnn is not being used by caffe when it should have been #1756

Closed templarares closed 3 years ago

templarares commented 3 years ago

Issue Summary

Got the "out of memory" error. Found that this is usually related to "cuDNN not being used". Double-checked that VS project was built with "enable cuDNN" in CMake. Reinstalled cuDNN, nothing changed. Used "Dependencies"/"DependencyWalker" on "caffe.dll" in the bin folder. Found that it was depending on cudnn64_7.dll in my older installation of openpose. But in this newest openpose 1.7.0.1 installation, caffe.dll is not depending on any "cudnn*.dll"--although there is indeed a "cudnn64_8.dll" in openpose's bin folder.

Executed Command (if any)

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

OpenPose Output (if any)

Errors (if any)

Check failed: error == cudaSuccess (2 vs. 0) out of memory

Type of Issue

Your System Configuration

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

  2. OpenPose version: Latest GitHub code? Or specific commit (e.g., d52878f)? Or specific version from Release section (e.g., 1.2.0)? 1.7.0.1

  3. General configuration:

    • Installation mode: CMake, sh script, manual Makefile installation, ... (Ubuntu); CMake, ... (Windows); ...?
    • Operating system (lsb_release -a in Ubuntu):
    • Operating system version (e.g., Ubuntu 16, Windows 10, ...):
    • Release or Debug mode? (by default: release):
    • Compiler (gcc --version in Ubuntu or VS version in Windows): 5.4.0, ... (Ubuntu); VS2015 Enterprise Update 3, VS2017 community, ... (Windows); ...?

Windows10 + VS2019 comminuity+CMake

  1. 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):

  2. 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?; ...?

All default

  1. If GPU mode issue:
    • CUDA version (cat /usr/local/cuda/version.txt in most cases):
    • cuDNN version:
    • GPU model (nvidia-smi in Ubuntu):

CUDA 11.1, cuDNN 8.0.5, GPU RTX3080

  1. If CPU-only mode issue:

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

  2. If Python API:

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

  3. If Windows system:

    • Portable demo or compiled library?

  4. If speed performance issue:

    • Report OpenPose timing speed based on this link.
gineshidalgo99 commented 3 years ago

Please fill Your System Configuration