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EC2 instances with automated setup

Set up your instance with the setup documented in MXNet Developer setup on AWS EC2

Then clone the MXNet repository and either use dev_menu.py for common usecases or continue with the instructions.

Requirements

In order to run this toolchain, the following packages have to be installed. Please note that CPU tests can be run on Mac OS and Ubuntu, while GPU tests may only be executed under Ubuntu. Unfortunately, Windows builds and tests are being done without Docker and are thus not covered by this guide.

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In this case, the stash is labelled as mkldnn_gpu. The easiest way to map this to a build-step, is by opening the Jenkinsfile and searching for    pack_lib('mkldnn_gpu'  In this case, you will find a block like the following:

def compile_unix_mkldnn_gpu() {
  return ['GPU: MKLDNN': {
      node('mxnetlinux-cpu'node(NODE_LINUX_CPU) {
     ws      ws('workspace/build-mkldnn-gpu') {
       init        timeout(time: max_time, unit: 'MINUTES') {
          utils.init_git()
             sh "ci/build.py --platform  utils.docker_run('ubuntu_build_cuda /work/runtime_functions.sh ', 'build_ubuntu_gpu_mkldnn"
       pack', false)
          utils.pack_lib('mkldnn_gpu', mx_mkldnn_lib, true)
             }
      }
      }
  }]
},

This means that the build-step you are looking for is called "GPU: MKLDNN". Now, please execute the steps described in the Build-Paragraph above before continuing. 

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