I followed this link here to download tensorflow with gpu support on my Ubuntu 20.04 OS. Here is a snapshot of my .bashrc that I suspect may be the problem but I cannot verify this.
# >>> conda initialize >>>
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$('/home/weiss/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
if [ $? -eq 0 ]; then eval "$__conda_setup"
else if [ -f "/home/weiss/anaconda3/etc/profile.d/conda.sh" ]; then . "/home/weiss/anaconda3/etc/profile.d/conda.sh" else export PATH="/home/weiss/anaconda3/bin:$PATH" fi
fi
unset __conda_setup
# <<< conda initialize <<<
export LD_LIBRARY_PATH=/usr/lib/cuda/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/lib/cuda/include:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export PATH=/usr/local/cuda-11.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/cuda-11.0/include:$LD_LIBRARY_PATH
echo 'export LD_LIBRARY_PATH=/usr/lib/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc echo 'export LD_LIBRARY_PATH=/usr/lib/cuda/include:$LD_LIBRARY_PATH' >> ~/.bashrc
export LD_LIBRARY_PATH=/usr/lib/cuda/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/lib/cuda/include:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/lib/cuda/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/lib/cuda/include:$LD_LIBRARY_PATHWhen I run this command
tf.config.list_physical_devices('GPU')I get the following
2021-09-15 18:11:46.561864: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-15 18:11:46.564618: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib/cuda/include:/usr/lib/cuda/lib64:/usr/local/cuda-11.0/include:/usr/local/cuda-11.0/lib64:/usr/local/cuda/lib64:/usr/local/cuda-11.0/lib64:/usr/lib/cuda/include:/usr/lib/cuda/lib64:
2021-09-15 18:11:46.565065: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1835] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
[]I have tried a number of other potential setups but nothing works. Any help or suggestions is appreciated.
Here is also a snapshot of nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.91.03 Driver Version: 460.91.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 Off | 00000000:01:00.0 On | N/A |
| 0% 53C P0 34W / 200W | 1175MiB / 8085MiB | 2% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 934 G /usr/lib/xorg/Xorg 198MiB |
| 0 N/A N/A 1542 G /usr/lib/xorg/Xorg 515MiB |
| 0 N/A N/A 1674 G /usr/bin/gnome-shell 227MiB |
| 0 N/A N/A 2843 G /usr/lib/firefox/firefox 219MiB |
+-----------------------------------------------------------------------------+
