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Minimum Cuda capability is 3.5? But, 3.0 stated on site #17445
I'm able to run the hello world examples, but the following warning (or error) is printed. So, I can't make use of my gpu? While this maybe a simple correction on the web page, is there anyway I can get a version that allows me to run with a Cuda 3.0 card?
OS: Ubuntu 16.04
On the linux installation page, the minimum capability is written as 3.0. But, when I try to run hello world on a cuda 3.0 card, the following is printed:
name: Quadro K2000M major: 3 minor: 0 memoryClockRate(GHz): 0.745
referenced this issue
Mar 5, 2018
No. I believe basel configured it for me without having to touch the source.…
On Thu, May 10, 2018, 7:13 PM JoshuaC3 ***@***.***> wrote: @mackiem <https://github.com/mackiem> did you have to make the changes suggested by @rohan100jain <https://github.com/rohan100jain> before building from source? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#17445 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABsR4TTovkhJvWb2wHx-bYL8xrKj5KVIks5txMmngaJpZM4Sc1Yr> .
Hello i have a CUDA Compute Capability of 2.1 is there a chance i am able to change the source code to support my GPU lower capability? Or the tensorflow's algo need a specific capability ?
Cause CPU take way too long: been training the model for more than 48h so far on CPU