Again, all of the above information is available on the download page for cuDNN. All versions of cuDNN from 1. Wikipedia’s CUDA article has a good list of the various compute capability levels and corresponding GPUs a similar list is available on Nvidia’s compute capability webpage. Email Required, but never shown. And yes, cuDNN versions depend on specific cuda versions. Previous versions can be downloaded from the link at the bottom of the download page.
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This configuration will run the worker on GPU 0. You will have to be a registered developer to access that page.
cuda – How to know which cuDNN version one should use? – Stack Overflow
This kind of hybrid training is not well supported for now. All versions of cuDNN from 1. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.
How to know which cuDNN version one should use? Again, all of the above information is available on the download page for cuDNN. I’m resigning as a moderator from all Stack Exchange sites, effective today.
Consequently, users can implement layers without awareness of the underlying running device. Improving the question-asking experience. Sign up or log in Sign up using Google.
Email Required, but never shown. The cifar10 example and Alexnet example have complete configurations for ConvNet. GPU is typically used for linear algebra computation in layer functions, because GPU is good at such computation.
NVIDIA cuDNN | NVIDIA Developer
Previous versions can be downloaded from the link at the bottom of the download page. Sign up using Facebook.
Considering GPU is much faster than CPU for linear algebra operations, it is essential to support the training of deep learning models which involves a lot of linear algebra operations on GPU cards.
Franck Dernoncourt Franck Dernoncourt How do we handle problem users? Sign up using Email and Password. I plan to use cuDNN on Linux: The simplest configuration is. Post as a guest Name. Unicorn Meta Zoo 9: For layers that cannot run on GPU, e. You should use whichever is the latest version of cuDNN supported by your application and platform, since that will have the most bug fixes and enhancements. Robert Crovella Robert Crovella k 6 6 gold badges silver badges bronze badges.
If you want to launch multiple workers, each on a separate GPU, you can configure it as job.