//
  // WARNING: The destructor of this class is marked as protected to disallow
  // clients from directly destroying this object since it may manage its own
  // lifetime through ref counting. Thus clients MUST call Release() in order to
  // destroy an instance of this class.
  virtual void Release() = 0;

  // Creates an operation builder and ties it to this context.

  //
  // WARNING: The destructor of this class is marked as protected to disallow
  // clients from directly destroying this object since it may manage it's own
  // lifetime through ref counting. Thus this must be allocated on the heap and
  // clients MUST call Release() in order to destroy an instance of this class.
  virtual void Release() = 0;

  virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0;

  // Add `devices` into context's device manager. Context's device manager
  // will take ownership and maintain devices' lifetime.
  virtual absl::Status AddDevices(
      std::vector<std::unique_ptr<Device>> devices) = 0;

  // Block until all pending nodes are finished.
  virtual absl::Status AsyncWait() = 0;

#include "tensorflow/core/framework/tensor_reference.h"
#include "tensorflow/core/platform/logging.h"

namespace tensorflow {

namespace {

// Managing context for the DLManagedTensor, will manage the lifetime of
// DLManagedTensor. When calling DLManagedTensor::deleter, it will notify the
// original framework of destruction, and this context will be deleted also.
struct TfDlManagedTensorCtx {
  TensorReference reference;

				Value: float64(globalScannerMetrics.lifetime(scannerMetricScanFolder)),
			},
			{
				Description: MetricDescription{
					Namespace: nodeMetricNamespace,
					Subsystem: scannerSubsystem,
					Name:      "bucket_scans_started",
					Help:      "Total number of bucket scans started since server uptime",
					Type:      counterMetric,
				},

    to fix this.
-   Once the internal tests pass, we go ahead and merge the code internally as
    well as externally on GitHub.

In a graphical form, the entire lifetime of a PR looks like

![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3)

### Contributor License Agreements

			}
		}
	}
	return dst, nil
}

func setDefaultProfilerRates() {
	runtime.MemProfileRate = 128 << 10 // 512KB -> 128K - Must be constant throughout application lifetime.
	runtime.SetMutexProfileFraction(0) // Disable until needed
	runtime.SetBlockProfileRate(0)     // Disable until needed
}

// Starts a profiler returns nil if profiler is not enabled, caller needs to handle this.

                                      description: Path to set for the cookie.
                                      type: string
                                    ttl:
                                      description: Lifetime of the cookie.
                                      type: string
                                  required:
                                  - name
                                  type: object

   * {@link #build}. Weights are measured and recorded when entries are inserted into the cache, and
   * are thus effectively static during the lifetime of a cache entry.
   *
   * <p>When the weight of an entry is zero it will not be considered for size-based eviction
   * (though it still may be evicted by other means).
   *

   * {@link #build}. Weights are measured and recorded when entries are inserted into the cache, and
   * are thus effectively static during the lifetime of a cache entry.
   *
   * <p>When the weight of an entry is zero it will not be considered for size-based eviction
   * (though it still may be evicted by other means).
   *