deprecated and will be removed in a future release.
    *   Metrics update and collection logic in default `Model.train_step()` is
        now customizable via overriding `Model.compute_metrics()`.
    *   Losses computation logic in default `Model.train_step()` is now
        customizable via overriding `Model.compute_loss()`.

  let description = [{
A one-shot iterator bundles the logic for defining the dataset and
the state of the iterator in a single op, which allows simple input
pipelines to be defined without an additional initialization
("MakeIterator") step.

One-shot iterators have the following limitations:

* They do not support parameterization: all logic for creating the underlying

			}
		}
	}
}

// This test is a little too top-to-bottom.  Ideally we would test each volume
// type on its own, but we want to also make sure that the logic works through
// the one-of wrapper, so we just do it all in one place.
func TestValidateVolumes(t *testing.T) {
	validInitiatorName := "iqn.2015-02.example.com:init"
	invalidInitiatorName := "2015-02.example.com:init"

              }
            ],
            "description": "secretRef references to the secret for ScaleIO user and other sensitive information. If this is not provided, Login operation will fail."
          },
          "sslEnabled": {
            "description": "sslEnabled Flag enable/disable SSL communication with Gateway, default false",
            "type": "boolean"
          },