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1. Execute these commands in order from the MXNet home folder. This will generate a file called "mxnet_<version>.tgz" in your local folder
   
   

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   mkdir -p R-package/inst/libs cp src/io/image_recordio.h R-package/src cp -rf lib/libmxnet.so R-package/inst/libs mkdir -p R-package/inst/include cp -rf include/* R-package/inst/include cp -rf 3rdparty/dmlc-core/include/* R-package/inst/include/ cp -rf 3rdparty/tvm/nnvm/include/* R-package/inst/include Rscript -e "library(devtools); library(methods); options(repos=c(CRAN='https://cloud.r-project.org/'));install_deps(pkg='R-package', dependencies = TRUE)" echo "import(Rcpp)" >> R-package/NAMESPACE R CMD INSTALL R-package Rscript -e "devtools::install_version('roxygen2',version='5.0.1', repos='https://cloud.r-project.org/',quiet=TRUE)" Rscript -e "require(mxnet); mxnet:::mxnet.export('R-package'); warnings()" Rscript -e "require(roxygen2); roxygen2::roxygenise('R-package'); warnings()" R CMD INSTALL --build R-package

   
   

2. You can view the contents of the generated tgz file by: tar -tf mxnet_<version>.tgztgz 

3. Verify the contents of the package and upload it in the corresponding S3 bucket. Once uploaded on the S3 bucket, we can install and verify using the following commands from an R console.

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   cran <- getOption("repos") cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/" options(repos = cran) install.packages("mxnet”) library(mxnet) a <- mx.nd.ones(c(2,3), ctx = mx.cpu()) b <- a * 2 + 1 b packageVersion('mxnet') # Should print the version number. eg : ‘1.4.0’

   
   

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Take the package and upload it in the specific S3 bucket.
Where X is 100, 90, 91 or 92 depended on the CUDA version.

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