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new 31c5fbc Fix install instructions for MXNET-R (#11976)
31c5fbc is described below
commit 31c5fbcac00ad00543d93754ae67e29c27eb1033
Author: Ankit Khedia <[email protected]>
AuthorDate: Wed Aug 1 16:34:27 2018 -0700
Fix install instructions for MXNET-R (#11976)
* fix install instructions for MXNET-R
* fix install instructions for MXNET-R
* fix default cuda version for MXNet-R
---
docs/install/index.md | 13 +++++++------
docs/install/windows_setup.md | 4 ++--
2 files changed, 9 insertions(+), 8 deletions(-)
diff --git a/docs/install/index.md b/docs/install/index.md
index d4704df..57c50eb 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -1784,7 +1784,7 @@ Next, we install the ```graphviz``` library that we use
for visualizing network
<div class="cpu">
Install the latest version (3.5.1+) of R from
[CRAN](https://cran.r-project.org/bin/windows/).
-You can [build MXNet-R from
source](windows_setup.html#install-the-mxnet-package-for-r), or you can use a
pre-built binary:
+You can [build MXNet-R from
source](windows_setup.html#install-mxnet-package-for-r), or you can use a
pre-built binary:
```r
cran <- getOption("repos")
@@ -1797,14 +1797,15 @@ install.packages("mxnet")
<div class="gpu">
-You can [build MXNet-R from
source](windows_setup.html#install-the-mxnet-package-for-r), or you can use a
pre-built binary:
+You can [build MXNet-R from
source](windows_setup.html#install-mxnet-package-for-r), or you can use a
pre-built binary:
```r
-cran <- getOption("repos")
-cran["dmlc"] <-
"https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU";
-options(repos = cran)
-install.packages("mxnet")
+ cran <- getOption("repos")
+ cran["dmlc"] <-
"https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cu92";
+ 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.
</div> <!-- END of GPU -->
</div> <!-- END - Windows R -->
diff --git a/docs/install/windows_setup.md b/docs/install/windows_setup.md
index 9d03474..40ddeb8 100755
--- a/docs/install/windows_setup.md
+++ b/docs/install/windows_setup.md
@@ -218,11 +218,11 @@ For GPU package:
```r
cran <- getOption("repos")
- cran["dmlc"] <-
"https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cuX";
+ cran["dmlc"] <-
"https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cu92";
options(repos = cran)
install.packages("mxnet")
```
-Change X to 80,90,91 or 92 based on your CUDA toolkit version. Currently,
MXNet supports these versions of CUDA.
+Change cu92 to cu80, cu90 or cu91 based on your CUDA toolkit version.
Currently, MXNet supports these versions of CUDA.
#### Building MXNet from Source Code(GPU)
After you have installed above software, continue with the following steps to
build MXNet-R:
1. Clone the MXNet github repo.
