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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:

Code Block
languagegroovy
themeRDark
linenumberstrue
def compile_unix_mkldnn_gpu() {
  return ['GPU: MKLDNN': {
    node(NODE_LINUX_CPU) {
      ws('workspace/build-mkldnn-gpu') {
        timeout(time: max_time, unit: 'MINUTES') {
          utils.init_git()
          utils.docker_run('ubuntu_build_cuda', 'build_ubuntu_gpu_mkldnn', false)
          utils.pack_lib('mkldnn_gpu', mx_mkldnn_lib, true)
        }
      }
    }
  }]
}

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