{"UnixCredentials", Func, 0},
		{"UnixRights", Func, 0},
		{"Unlink", Func, 0},
		{"Unlinkat", Func, 0},
		{"UnmapViewOfFile", Func, 0},
		{"Unmount", Func, 0},
		{"Unsetenv", Func, 4},
		{"Unshare", Func, 0},
		{"UserInfo10", Type, 0},
		{"UserInfo10.Comment", Field, 0},
		{"UserInfo10.FullName", Field, 0},
		{"UserInfo10.Name", Field, 0},
		{"UserInfo10.UsrComment", Field, 0},

						SecretName: "key",
						ShareName:  "share",
						ReadOnly:   false,
					},
				},
			},
		}, {
			name: "AzureFile empty secret",
			vol: core.Volume{
				Name: "azure-file",
				VolumeSource: core.VolumeSource{
					AzureFile: &core.AzureFileVolumeSource{
						SecretName: "",
						ShareName:  "share",
						ReadOnly:   false,
					},
				},
			},

            "type": "string"
          },
          "shareName": {
            "default": "",
            "description": "shareName is the azure share Name",
            "type": "string"
          }
        },
        "required": [
          "secretName",
          "shareName"
        ],
        "type": "object"
      },

                  "Distinct" Listeners have the following property:


                  The implementation can match inbound requests to a single distinct
                  Listener. When multiple Listeners share values for fields (for
                  example, two Listeners with the same Port value), the implementation
                  can match requests to only one of the Listeners using other
                  Listener fields.

            "description": "Subresource is the name of the subresource used to update that object, or empty string if the object was updated through the main resource. The value of this field is used to distinguish between managers, even if they share the same name. For example, a status update will be distinct from a regular update using the same manager name. Note that the APIVersion field is not related to the Subresource field and it always corresponds to the version of the main resource.",...

    Arg<Variadic<TF_Float32Tensor>, [{A TensorList of float32 scalars, one for each dynamic learning
rate tag: see the comments in
//third_party/tensorflow/core/protobuf/tpu/optimization_parameters.proto.
Multiple tables can share the same dynamic learning rate tag as specified
in the configuration. If the learning rates for all tables are constant,
this list should be empty.}]>:$learning_rates,

    StrAttr:$config
  );