I have trouble installing cuda10.0 on my work station. I followed this guide: https://www.tensorflow.org/install/gpu

Here is the following commands i did.

pip install tensorflow-gpu # stable

-#Add NVIDIA package repositories

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb sudo apt-key adv --fetch-keys


sudo apt-get update

wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb

sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb

sudo apt-get update

-# Install NVIDIA driver

sudo apt-get install --no-install-recommends nvidia-driver-410

-#Reboot. Check that GPUs are visible using the command: nvidia-smi

After i rebooted it looked good, nvidia-smi told me that i had gpu-drive: 410 and cuda 10.0 installed.

// Install development and runtime libraries (~4GB) sudo apt-get install --no-install-recommends \ cuda-10-0 \ libcudnn7= \ libcudnn7-dev=

After this command i somehow got nividia driver 418.67 installed and cuda version 10.1

-# Install TensorRT. Requires that libcudnn7 is installed above. sudo apt-get update && \ sudo apt-get install nvinfer-runtime-trt-repo-ubuntu1804-5.0.2-ga-cuda10.0 \ && sudo apt-get update \ && sudo apt-get install -y --no-install-recommends libnvinfer-dev=5.0.2-1+cuda10.0

I have set up a system snapshot just before i did any of this as i had trouble before and didn't want to format the computer yet again. So i can easily start from scratch with no cuda versions or nvidia drivers installed.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.