Update to GradientCI 2

[dte]

No description provided.

[bbatha]

Here's a complete example with the model and checks preserved:

version: 2
workflows:
  ci-test:
    steps:
      -
        name: "my experiment"
        command: experiment.run_multi_node
        params:
          ports: "5000"
          modelPath: "/artifacts"
          modelType: "Tensorflow"
          workerCommand: "pip install -r requirements.txt && python mnist.py"
          workerContainer: "tensorflow/tensorflow:1.13.1-gpu-py3"
          workerMachineType: "K80"
          workerCount: 2
          parameterServerCount: 1
          parameterServerCommand: "pip install -r requirements.txt && python mnist.py"
          parameterServerContainer: "tensorflow/tensorflow:1.13.1-py3"
          parameterServerMachineType: "G1"
        checks:
          tensorflow:loss:
            target: 0.0..1.0
            aggregate: max
          tensorflow:accuracy:
            target: 0.988..1.000
            aggregate: median
          defaults:
            precision: 3
    triggers:
      tags:
        only: 'v.*'
      branches:
        only: '.*'