adding a replication rule.

Similar to object version replication, DeleteMarker replication also cycles through `PENDING` to `COMPLETED` or `FAILED` states for the `X-Amz-Replication-Status` on the source when a delete marker is set (i.e. performing `mc rm` on an object without specifying a version).After replication syncs the delete marker on the target, the DeleteMarker on the target shows `X-Amz-Replication-Status` of `REPLICA`. The status of DeleteMarker replication is returned by `X-M...

  AbstractContext* ctx_;
};

// Returns the number of elements in the gradient tensor.
int64_t TapeVSpace::NumElements(AbstractTensorHandle* tensor) const {
  // TODO(srbs): It seems like this is used only for performance optimization
  // and not for correctness. The only downside of keeping this 1 seems to be
  // that the gradient accumulation is unbounded and we will never
  // aggressively aggregate accumulated gradients to recover memory.

#### Figure 2 - KMS key hierarchy

```
                                                          CMK (master key)

from './inner';\n\n/**\n * Modifier function, each modifier can have a function of this type assigned\n * to its `fn` property.<br />\n * These functions will be called on each update, this means that you must\n * make sure they are performant enough to avoid performance bottlenecks.\n *\n * @function ModifierFn\n * @argument {dataObject} data - The data object generated by `update` method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {dataObject} The data object,...

 * as the traditional heap data structure used in {@link PriorityQueue}.
 *
 * <p>This class is not thread-safe, and does not accept null elements.
 *
 * <p><i>Performance notes:</i>
 *
 * <ul>
 *   <li>If you only access one end of the queue, and do use a maximum size, this class will perform
 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum

#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/eager/c_api.h"

#ifdef __cplusplus
extern "C" {
#endif

// Resets `op_to_reset` with `op_or_function_name` and `raw_device_name`. This
// is for performance optimization by reusing an exiting unused op rather than
// creating a new op every time. If `raw_device_name` is `NULL` or empty, it
// does not set the device name. If it's not `NULL`, then it attempts to parse

is unable to start in iptables mode because system requirements are not met
(kernel or iptables versions are insufficient), the kube-proxy will fall-back
to userspace mode. Kube-proxy is much more performant and less
resource-intensive in ‘iptables’ mode.

 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/Caffeine.html">{@code
 * Caffeine}</a> class. Caffeine offers better performance, more features (including asynchronous
 * loading), and fewer <a
 * href="https://github.com/google/guava/issues?q=is%3Aopen+is%3Aissue+label%3Apackage%3Dcache+label%3Atype%3Ddefect">bugs</a>.
 *

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction...

		}
	}
	config.Lock()
	delete(config.Tiers, tier)
	delete(config.drivercache, tier)
	config.Unlock()
	return nil
}

// Verify verifies if tier's config is valid by performing all supported
// operations on the corresponding warmbackend.
func (config *TierConfigMgr) Verify(ctx context.Context, tier string) error {
	d, err := config.getDriver(ctx, tier)
	if err != nil {
		return err
	}