I'm trying to analyze my tensorflow application. The training runs well, but I get Failed to load libcupti (is it installed and accessible?)
if I open the Profile-Tab in Tensorboard.
My configuration is:
- Windows 10
- Python 3.9.7
- Tensorflow 2.6.0
- CUDA Toolkit 11.2
- cuDNN 8.1.1 (installed as here by copying files as described)
- Visual Studio Professional 2019
CUDA_PATH
is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
My Path-Variable contains:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\libnvvp
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\CUPTI\lib64
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include
C:\Program Files\NVIDIA Corporation\Nsight Systems 2020.4.3\target-windows-x64
conda list
(only relevant packages):
cudatoolkit 11.3.1 h59b6b97_2
cudnn 8.2.1 cuda11.3_0
tensorboard 2.6.0 py_1
tensorboard-data-server 0.6.0 py39haa95532_0
tensorboard-plugin-profile 2.5.0 pypi_0 pypi
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.6.0 gpu_py39he88c5ba_0
tensorflow-base 2.6.0 gpu_py39hb3da07e_0
tensorflow-datasets 4.5.2 pypi_0 pypi
tensorflow-estimator 2.6.0 pyh7b7c402_0
tensorflow-gpu 2.6.0 h17022bd_0
tensorflow-metadata 1.6.0 pypi_0 pypi
I am surprised that Anaconda has installed CUDA Toolkit version 11.3 and cuDNN version 8.2.1. According to GPU-configurations this should be version 11.2 and 8.1. Can this be the problem?
Or has someone an idea how to solve this problem?