should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired...

            "type": "boolean"
          },
          "server": {
            "default": "",
            "description": "server is the hostname or IP address of the NFS server. More info: https://kubernetes.io/docs/concepts/storage/volumes#nfs",
            "type": "string"
          }
        },
        "required": [
          "server",
          "path"
        ],
        "type": "object"

                                  Valid Options: CLIENT_AND_SERVER, CLIENT, SERVER
                                enum:
                                - CLIENT_AND_SERVER
                                - CLIENT
                                - SERVER
                                type: string

                                  Valid Options: CLIENT_AND_SERVER, CLIENT, SERVER
                                enum:
                                - CLIENT_AND_SERVER
                                - CLIENT
                                - SERVER
                                type: string

Class <org.gradle.launcher.daemon.server.api.DaemonCommandAction> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DaemonCommandAction.java:0)
Class <org.gradle.launcher.daemon.server.api.DaemonCommandExecution> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DaemonCommandExecution.java:0)

        based server to register tf.function methods and a GRPC client to invoke
        remote registered methods. RPC APIs are intended for multi-client setups
        i.e. server and clients are started in separate binaries independently.

    *   Example usage to create server: ```python server =
        tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")

		errtype   field.ErrorType
		errfield  string
		errdetail string
	}{{
		name:     "missing server",
		nfs:      &core.NFSVolumeSource{Server: "", Path: "/tmp"},
		errtype:  field.ErrorTypeRequired,
		errfield: "server",
	}, {
		name:     "missing path",
		nfs:      &core.NFSVolumeSource{Server: "my-server", Path: ""},
		errtype:  field.ErrorTypeRequired,
		errfield: "path",
	}, {

def TF_MakeUniqueOp : TF_Op<"MakeUnique", [Pure]> {
  let summary = [{
Make all elements in the non-Batch dimension unique, but \"close\" to
  }];

  let description = [{
their initial value. Never returns a sub-normal number. Never returns
zero. The sign of each input element is always identical to the sign
of the corresponding output element. Behavior for infinite elements is
undefined. Behavior for subnormal elements is undefined.