I want to use Tensorflow with GPU. I installed the latest nvidia drivers (384), CUDA 9.0 and cuDNN 7.1 and Tensorflow (with GPU).
When I use python and import tensorflow, i have this error:
ImportError: libcusolver.so.8.0: cannot open shared object file: No such file or directory
I tried a new installation and the same has happened.
I think the problem is that tensorflow is trying to get the libcusolver.so.8.0 file, but since I installed CUDA 9.0, only libcusolver.so.9.0 is avaliable.
My question is very simple, how can I download CUDA 8.0? I think everything would work out alright.
Just one thing, I have one desktop with a very nice i7 CPU (altough a few years old), and it takes about 25 milliseconds to forward an image (using Alexnet).
With my new laptop, which has 1050Ti, it takes 13 milliseconds. Is it normal to take that amount of time? I thought my new laptop would be able to forward an image 20x faster with the GPU. I’m thinking maybe I did something wrong and the laptop is actually using the CPU. How can I be sure?
For doing the forward pass on the GPU, data has to be given to the GPU first, which could take a lot of time compared to the forward passing. But in case you do also backprop, and you give a mini-batch to your GPU instead of just one input data, you could get pretty nice accerlerations. So the GPU shines when it has to do the learning phase.
Problem with CUDA Toolkit 9.0 download (Since 13Feb 2018)
I am trying to download it and I have tried almost 10 to 12 times using several explorers(firefox, googlechrome, E explorer) and even from my friend’s home using different ip address and even from different internet connection.
Each times it expires before my download is completed.
today my download stops at 96% when it explorer showed 0B/s for several minutes and when i pause it and resume it, error pop ups that link is either expires or restores etc.
Yes, I do have space 250GB SSD and I have tried downloading cuda toolkit 9.1 and it was successfully downloaded. But unfortunately 9.1 is not supported by tensorflow so I need 9.0 instead.
I download Cuda toolkit 9.0 for ubuntu 16.04 and even that is successfully downloaded. I dont know what is so special about cuda toolkit 9.0 for Windows 10.???
Hi. I installed CUDA 9.0 SDK, which installed a device driver that causes instability on my system. I used DDU to uninstall the driver and install a known-to-be-good NVIDIA driver, but I can not uninstall CUDA 9.0 using Add/Remove Programs (Windows 10 Pro). When I click on the “Remove” button and confirm, I’m asked to approve changes to my computer and nothing happens.
Any ideas on how to clean my system from CUDA 9.0 SDK without reinstalling Windows and reconfiguring everything from the beginning? I’ve got lots of software on the machine, shared printers, shared storage, etc, and I’d very much prefer not reinstalling everything.