let summary = "Moves a broadcast from host into XLA, encoded as XlaAllReduce";

  let description = [{
    This pass moves brodcasts from host TF ops into XLA. This enables use of
    the inter-device network, which is faster than the inter-host network.
    Broadcasts in XLA are encoded as XlaAllReduce. An all_reduce with all 0
    inputs except for one real input produces the same result as a broadcast.

    For example, the following:

	etyp := typ.Elem()
	testType(t, 4, etyp, "struct { c chan *int32; d float32 }")
}

func TestInterfaceValue(t *testing.T) {
	var inter struct {
		E any
	}
	inter.E = 123.456
	v1 := ValueOf(&inter)
	v2 := Field(v1.Elem(), 0)
	// assert(t, TypeString(v2.Type()), "interface {}")
	v3 := v2.Elem()
	assert(t, TypeString(v3.Type()), "float64")

	i3 := ToInterface(v2)

// Copyright 2018 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// js and wasip1 do not support inter-process file locking.
//
//go:build !js && !wasip1

package lockedfile_test

import (
	"fmt"
	"internal/testenv"
	"os"
	"path/filepath"
	"testing"
	"time"

	"cmd/go/internal/lockedfile"
)

												Key:      "GPU",
												Operator: v1.NodeSelectorOpExists,
											}, {
												Key:      "GPU",
												Operator: v1.NodeSelectorOpNotIn,
												Values:   []string{"AMD", "INTER"},
											},
										},
									},
								},
							},
						},
					},
				},
			},
			labels: map[string]string{
				"GPU": "NVIDIA-GRID-K1",
			},
			runPreFilter: true,

    : intra_op_(std::make_unique<IntraOpThreadPool>(num_threads)) {
  // Create a HostContext for running TFRT functions. Concurrent work queue acts
  // similar to the Tensorflow `inter-op` thread pool, so we'll match the size.
  host_context_ = num_threads ? CreateMultiThreadedHostContext(num_threads)
                              : CreateSingleThreadedHostContext();

		&metrics.HistogramOpts{
			Namespace:      namespace,
			Subsystem:      subsystem,
			Name:           "dek_cache_inter_arrival_time_seconds",
			Help:           "Time (in seconds) of inter arrival of transformation requests.",
			StabilityLevel: metrics.ALPHA,
			Buckets:        metrics.ExponentialBuckets(60, 2, 10),
		},
		[]string{"transformation_type"},
	)

import org.apache.maven.project.collector.RequestPomCollectionStrategy;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import static java.util.Comparator.comparing;

/**
 * Builds the {@link ProjectDependencyGraph inter-dependencies graph} between projects in the reactor.
 */
@Named(GraphBuilder.HINT)
@Singleton
public class DefaultGraphBuilder implements GraphBuilder {

	"reflect"
	"runtime"
	"testing"
	"time"

	"github.com/minio/minio/internal/grid"
	xnet "github.com/minio/pkg/v3/net"
)

// Storage REST server, storageRESTReceiver and StorageRESTClient are
// inter-dependent, below test functions are sufficient to test all of them.
func testStorageAPIDiskInfo(t *testing.T, storage StorageAPI) {
	testCases := []struct {
		expectErr bool
	}{
		{true},
	}

		interfaces, _ := net.Interfaces() //TODO create interfaces
		for _, inter := range interfaces {
			addresses, _ := inter.Addrs()
			for _, addr := range addresses {
				addrIP, _, _ := netutils.ParseCIDRSloppy(addr.String())
				if addrIP.String() == nodeIP.String() {
					klog.V(2).InfoS("Record Host MAC address", "addr", inter.HardwareAddr)
					hostMac = inter.HardwareAddr.String()
				}
			}
		}
		if len(hostMac) == 0 {

    // arguments must correspond to different resources and we can assign unique
    // IDs.
    assign_unique_id_to_all(func_op.getArguments());
  }

  // Since this analysis is neither inter-procedural nor inter-regional,
  // each region attached to Op's within a function is analyzed independently.
  // Seed this analysis for each such region by mapping all resource arguments