protocol = fmt.Sprintf("/%s", port.Protocol)
			}
			ports = append(ports, fmt.Sprintf("%d%s (%s)", port.ContainerPort, protocol, container.Name))
		}
		// Ref: https://istio.io/latest/docs/ops/deployment/requirements/#pod-requirements
		if container.Name != "istio-proxy" && container.Name != "istio-operator" {
			if container.SecurityContext != nil && container.SecurityContext.RunAsUser != nil {

// function. Otherwise return nullptr in result and error Status from the
// function.
//
// If `library_filename` has already been loaded, we return a cached handle.
// Device and Kernels/Ops are registered as globals when a library is loaded
// for the first time.
TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {

    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of
    # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes,
    # but this also hurts the performance. Let users decide what they want.
    write_to_bazelrc('build --define=override_eigen_strong_inline=true')

  ExpectScalarEq<float>(result_components[0].get(), 3.);
  ExpectScalarEq<float>(result_components[1].get(), 3.);
}

TEST(PARALLEL_DEVICE, TestCollectiveSync) { TestCollective(/*async=*/false); }

// Note that ops on the parallel device currently don't execute
// asynchronously. The test is just that we don't get deadlocks.
TEST(PARALLEL_DEVICE, TestCollectiveAsync) { TestCollective(/*async=*/true); }

                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "ops"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 6,
        "x": 0,
        "y": 4
      },
      "id": 12,
      "links": [],

)

var (
	globalReplicationPool  *ReplicationPool
	globalReplicationStats *ReplicationStats
)

// ReplicationPool describes replication pool
type ReplicationPool struct {
	// atomic ops:
	activeWorkers    int32
	activeMRFWorkers int32

	objLayer   ObjectLayer
	ctx        context.Context
	priority   string
	maxWorkers int
	mu         sync.RWMutex
	mrfMU      sync.Mutex

                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "ops"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 8,
        "x": 0,
        "y": 4
      },
      "id": 12,
      "links": [],

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  if (forward_input) {
    TFE_DeleteTensorHandle(n);
  }

  int num_retvals = 1;
  if (async) {
    // Enqueue dummy ops so we backlog async execution & actually test async.
    // This is usually unnecessary, but we've experienced the occasional test
    // failure when testing async mode with no explicit forwarding.

	VREV32	V5.B16, V5.B16                  // a508206e
	VREV64	V2.S2, V3.S2                    // 4308a00e
	VREV64	V2.S4, V3.S4                    // 4308a04e

// logical ops
//
// make sure constants get encoded into an instruction when it could
	AND	R1@>33, R2
	AND	$(1<<63), R1                        // AND	$-9223372036854775808, R1       // 21004192

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