GPU-CNN/rai_build.yml at master · MrCaiting/GPU-CNN · GitHub

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rai:
  version: 0.2
  image: cwpearson/ece408_mxnet_docker:amd64-gpu-2018sp-latest
resources:
  cpu:
    architecture: amd64
  gpu:
    architecture: pascal
    count: 1
  network: false
commands:
  build:
    - /bin/bash -c "cp -rv /ece408_src/* /mxnet/src/operator/custom" # copy golden files to mxnet source tree
    - /bin/bash -c "cp -rv /src/* /build" # copy the project folder to /build so everything appears in the upload
    - /bin/bash -c "for src in ece408_src/*; do cp -v $src /mxnet/src/operator/custom/.; done" # copy source files to mxnet tree
    - nice -n20 make -C /mxnet # build mxnet
    - pip2 install --user -e /mxnet/python   # install python bindings
    #- /usr/bin/time python m1.2.py # execute code
    ### For 2.1
    #- /usr/bin/time python m2.1.py 10
    ## For 3
    - python m3.1.py

    # Trying to get time report using based on the suggestion provided online
    #- nvprof -o timeline.nvvp --analysis-metrics --events all --metrics all --profile-from-start off python m3.1.py 100
    ## For 3, Getting timeline report
    #- nvprof -o timeline.nvprof python m3.1.py 100
    #- nvprof --analysis-metrics -o analysis.nvprof python m3.1.py 100