Instalando o Tensorflow com suporte a GPU no Windows com WSL2
Bruna Guedes
Posted on April 17, 2024
Depois de passar horas tentando resolver, lendo vários posts, vou resumir aqui o que certo pra mim.
Dado que: já tenho WSL2 instalado e tenho rtx 4070
1: Instalar os drivers no windows
baixar o driver: search e download - https://www.nvidia.com/drivers
baixar cuda toolkit https://developer.nvidia.com/cuda-downloads?target_os=Windows
baixar e instalar cudnn driver https://developer.nvidia.com/cudnn
obs: não instale nada pelo terminal do wsl, pode dar problema
2. Variáveis de ambiente!!! Muito importante
export PATH=/usr/local/cuda/bin:$PATH
CUDNN_PATH=$(dirname $(python -c "import nvidia.cudnn;print(nvidia.cudnn.file)"))
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/:$CUDNN_PATH/lib
3. instalar tensorflow
pip install tensorflow[and-cuda]
se estiver usando zsh
pip install "tensorflow[and-cuda]"
4. testar no terminal do ubuntu os comandos
nvidia-smi.exe
nvcc -V
python3 -c "import tensorflow as tf; print(len(tf.config.list_physical_devices('GPU')))"
5. Para tirar um warning
export TF_CPP_MIN_LOG_LEVEL=2
sudo apt-get install numactl
numactl --show
https://discuss.tensorflow.org/t/tensorflow-installation-error/15889/3
https://medium.com/@jessicaisri/instalando-o-tensorflow-com-suporte-a-gpu-no-windows-com-wsl2-2858f4df08e5
Posted on April 17, 2024
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