following: - `resourceVersionMatch` = NotOlderThan\n  is interpreted as \"data at least as new as the provided `resourceVersion`\"\n  and the bookmark event is send when the state is synced\n  to a `resourceVersion` at least as fresh as the one provided by the ListOptions.\n  If `resourceVersion` is unset, this is interpreted as \"consistent read\" and the\n  bookmark event is send when the state is synced at least to the moment\n  when request started being processed.\n- `resourceVersionMatch` set...

following: - `resourceVersionMatch` = NotOlderThan\n  is interpreted as \"data at least as new as the provided `resourceVersion`\"\n  and the bookmark event is send when the state is synced\n  to a `resourceVersion` at least as fresh as the one provided by the ListOptions.\n  If `resourceVersion` is unset, this is interpreted as \"consistent read\" and the\n  bookmark event is send when the state is synced at least to the moment\n  when request started being processed.\n- `resourceVersionMatch` set...

                  Listeners. No picking one of the conflicting listeners as the winner.
                  This also means that the Gateway must have at least one non-conflicting
                  Listener in this case, otherwise it violates the requirement that at
                  least one Listener must be present.


                  The implementation MUST set a "ListenersNotValid" condition on the

        please use `optimizer._learning_rate`.
    *   **You implemented a custom optimizer based on the old optimizer.**
        Please set your optimizer to subclass
        `tf.keras.optimizer.legacy.XXX`. If you want to migrate to the new
        optimizer and find it does not support your optimizer, please file
        an issue in the Keras GitHub repo.

                            minHealthPercent:
                              description: Outlier detection will be enabled as long
                                as the associated load balancing pool has at least
                                min_health_percent hosts in healthy mode.
                              format: int32
                              type: integer
                            splitExternalLocalOriginErrors:

                            minHealthPercent:
                              description: Outlier detection will be enabled as long
                                as the associated load balancing pool has at least
                                min_health_percent hosts in healthy mode.
                              format: int32
                              type: integer
                            splitExternalLocalOriginErrors:

limitations under the License.
==============================================================================*/

// This is the auto-generated operation definition file for TensorFlow.
//
// PLEASE DO NOT MANUALLY EDIT THIS FILE!
// ONLY EXCEPTION: FIELDS THAT CANNOT BE GENERATED
//
// If you absolutely need to modify the generated fields of an op, move the op

				"If the field has been removed, please remove it from the osNeutralFields set "+
				"or remove it from the osSpecificFields set, as appropriate:\n%s",
				strings.Join(missing.List(), "\n"))
		}
		if len(unexpected) > 0 {
			t.Errorf("the following fields were in the result, but unexpected. "+
				"If the field is new, please add it to the osNeutralFields set "+