func (addrs addrList) first(strategy func(Addr) bool) Addr {
	for _, addr := range addrs {
		if strategy(addr) {
			return addr
		}
	}
	return addrs[0]
}

// partition divides an address list into two categories, using a
// strategy function to assign a boolean label to each address.
// The first address, and any with a matching label, are returned as

// Trace time and clock.

package runtime

import (
	"internal/goarch"
	_ "unsafe"
)

// Timestamps in trace are produced through either nanotime or cputicks
// and divided by traceTimeDiv. nanotime is used everywhere except on
// platforms where osHasLowResClock is true, because the system clock
// isn't granular enough to get useful information out of a trace in
// many cases.
//

			slices.SortFunc(s, func(a, b int) int {
				compares++
				return cmp.Compare(a, b)
			})
		}
		// This metric is per-operation, so divide by b.N and
		// report it as a "/op" unit.
		b.ReportMetric(float64(compares)/float64(b.N), "compares/op")
		// This metric is per-time, so divide by b.Elapsed and
		// report it as a "/ns" unit.
		b.ReportMetric(float64(compares)/float64(b.Elapsed().Nanoseconds()), "compares/ns")
	})
}

//    same type.
//  - GPU is preferred over CPU.
//  - If `allow_mixing_unknown_and_cpu` is true then unknown devices are
//    preferred over CPU.
//  - XLA devices count as "unrecognized devices".
//
// This set of rules above implicitly assume that XLA:GPU can compile all
// operations in the cluster that XLA:CPU can compile, and if

    auto device_factory = DeviceFactory::GetFactory(device_type);
    SessionOptions options;
    std::vector<std::unique_ptr<Device>> devices;
    Status s = device_factory->CreateDevices(
        options, "/job:worker/replica:0/task:0", &devices);
    device_ = std::move(devices[0]);

    AllocatorAttributes host_alloc_attr;
    host_alloc_attr.set_on_host(true);
    host_allocator_ = device_->GetAllocator(host_alloc_attr);

// RUN: tf-opt %s -split-input-file -tf-xla-broadcast | FileCheck %s

	rc.mountOrAttachVolumes()

	// Unmount volumes only when DSW and ASW are fully populated to prevent unmounting a volume
	// that is still needed, but it did not reach DSW yet.
	if readyToUnmount {
		// Ensure devices that should be detached/unmounted are detached/unmounted.
		rc.unmountDetachDevices()

		// Clean up any orphan volumes that failed reconstruction.
		rc.cleanOrphanVolumes()
	}

 */
public interface InstrumentingClassLoader {
    /**
     * This hook is called when the class is being defined in this classloader.
     * If the implementation decides to replace the bytecode, it returns a non-null byte array from this method.
     * Prefer returning {@code null} instead of the {@code classfileBuffer} to continue loading the original bytecode.
     * <p>

        int_attr.getSplatValue<APInt>() == raw_value)
      return true;
  }

  return false;
}

// Returns true if `op` is placed on GPU device, and false if it's on other
// devices or the device is not specified.
bool IsOnGpuDevice(mlir::Operation *op);

// Wrappers for CopyDeviceAndUnderscoredAttributes
void CopyDeviceAndUnderscoredAttributesAdaptor(mlir::OpResult src,

class CreateStringAttr<string values> : NativeCodeCall<
  "$_builder.getStringAttr("# values #")">;

// Get dense attr for a matrix that corrects the over counting of dividends when casting an average pool with ceil mode on in terms of average pool with it off.
def GetCorrectionMatrix: NativeCodeCall<"GetCorrectionMatrix($_builder, (*$0.begin()).getDefiningOp<mhlo::CompositeOp>())">;