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Updated docs for R-package installation #14269

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Apr 16, 2019
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Updated docs for R-package installation #14269

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Updated docs for R-package installation
piyushghai Feb 27, 2019
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Addressed PR feedback
piyushghai Feb 27, 2019
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Removed spaces in cuda100 path
piyushghai Feb 27, 2019
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Removed cu80 mention
piyushghai Mar 5, 2019
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3 changes: 2 additions & 1 deletion docs/install/index.md
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Expand Up @@ -1125,7 +1125,8 @@ You can [build MXNet-R from source](windows_setup.html#install-mxnet-package-for
options(repos = cran)
install.packages("mxnet")
```
Change cu92 to cu80, cu90 or cu91 based on your CUDA toolkit version. Currently, MXNet supports these versions of CUDA.
Change cu92 to cu90, cu91 or cuda100 based on your CUDA toolkit version. Currently, MXNet supports these versions of CUDA.
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Note : You also need to have cuDNN installed on Windows. Check out this [guide](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installwindows) on the steps for installation.

</div> <!-- END of GPU -->
</div> <!-- END - Windows R -->
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