ianvs/examples/robot/lifelong_learning_bench/semantic-segmentation/benchmarkingjob-sam.yaml at 6951d052400a51fded26a889566982d5834f4a9f · kubeedge/ianvs · GitHub

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benchmarkingjob:
  # job name of bechmarking; string type;
  name: "benchmarkingjob"
  # the url address of job workspace that will reserve the output of tests; string type;
  workspace: "/ianvs/sam_bench/robot-workspace"
  # the url address of test environment configuration file; string type;
  # the file format supports yaml/yml;
  testenv: "./examples/robot/lifelong_learning_bench/semantic-segmentation/testenv/testenv-robot-small.yaml"
  # the configuration of test object
  test_object:
    # test type; string type;
    # currently the option of value is "algorithms",the others will be added in succession.
    type: "algorithms"
    # test algorithm configuration files; list type;
    algorithms:
      # algorithm name; string type;
      - name: "sam_rfnet_lifelong_learning"
        # the url address of test algorithm configuration file; string type;
        # the file format supports yaml/yml
        url: "./examples/robot/lifelong_learning_bench/semantic-segmentation/testalgorithms/rfnet/sam_algorithm.yaml"
  # the configuration of ranking leaderboard
  rank:
    # rank leaderboard with metric of test case's evaluation and order ; list type;
    # the sorting priority is based on the sequence of metrics in the list from front to back;
    sort_by: [ { "accuracy": "descend" } ]

    # visualization configuration
    visualization:
      # mode of visualization in the leaderboard; string type;
      # There are quite a few possible dataitems in the leaderboard. Not all of them can be shown simultaneously on the screen.
      # In the leaderboard, we provide the "selected_only" mode for the user to configure what is shown or is not shown.
      mode: "selected_only"
      # method of visualization for selected dataitems; string type;
      # currently the options of value are as follows:
      #  1> "print_table": print selected dataitems;
      method: "print_table"

    # selected dataitem configuration
    # The user can add his/her interested dataitems in terms of "paradigms", "modules", "hyperparameters" and "metrics",
    # so that the selected columns will be shown.
    selected_dataitem:
      # currently the options of value are as follows:
      #   1> "all": select all paradigms in the leaderboard;
      #   2> paradigms in the leaderboard, e.g., "singletasklearning"
      paradigms: [ "all" ]
      # currently the options of value are as follows:
      #   1> "all": select all modules in the leaderboard;
      #   2> modules in the leaderboard, e.g., "basemodel"
      modules: [ "all" ]
      # currently the options of value are as follows:
      #   1> "all": select all hyperparameters in the leaderboard;
      #   2> hyperparameters in the leaderboard, e.g., "momentum"
      hyperparameters: [ "all" ]
      # currently the options of value are as follows:
      #   1> "all": select all metrics in the leaderboard;
      #   2> metrics in the leaderboard, e.g., "F1_SCORE"
      metrics: [ "accuracy", "task_avg_acc"]

    # model of save selected and all dataitems in workspace `./rank` ; string type;
    # currently the options of value are as follows:
    #  1> "selected_and_all": save selected and all dataitems;
    #  2> "selected_only": save selected dataitems;
    save_mode: "selected_and_all_and_picture"