This is an automated email from the ASF dual-hosted git repository.

the pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new 51d3291  Updated docs for R-package installation (#14269)
51d3291 is described below

commit 51d3291aec4fc5c057e1f56df17c4fed09745951
Author: Piyush Ghai <gha...@osu.edu>
AuthorDate: Tue Apr 16 12:19:01 2019 -0700

    Updated docs for R-package installation (#14269)
    
    * Updated docs for R-package installation
    
    * Addressed PR feedback
    
    * Removed spaces in cuda100 path
    
    * Removed cu80 mention
---
 docs/install/index.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/docs/install/index.md b/docs/install/index.md
index f1e959e..5708a5b 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -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.
+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 -->

Reply via email to