"//tensorflow/lite/tools/optimize:testdata/weight_shared_between_convs.bin",
    ],
    tags = [
        # TODO(b/327796566): re-enable after the bug is fixed
        "manual",
        "noasan",
        "noguitar",
        "notap",
        "tflite_not_portable_android",
        "tflite_not_portable_ios",
    ],
    deps = [
        ":quantize_weights",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",

/**
 * A marker interface for a provider that can be composed, i.e. multiple instances of the same provider can be composed into a single
 * provider.
 *
 * Composable providers share certain traits: There is a notion of a sequentially composed [KotlinCompositeProvider] of that kind, and there
 * is usually a merge function which allows to create a single provider from a list of providers. Mergers of composable providers may

func addc(x, y int, c chan int) {
	c <- x+y
}

func fnc() func(int, int, chan int) {
	return fc
}

func three(x int) {
	if x != 3 {
		println("wrong val", x)
		panic("fail")
	}
}

var notmain func()

func emptyresults() {}
func noresults()    {}

var nothing func()

func main() {
	three(call(add, 1, 2))
	three(call1(add, 1, 2))
	f = add
	three(call(f, 1, 2))
	three(call1(f, 1, 2))

		span = c.allocLarge(size, noscan)
		span.freeindex = 1
		span.allocCount = 1
		size = span.elemsize
		x = unsafe.Pointer(span.base())
		if needzero && span.needzero != 0 {
			delayedZeroing = true
		}
		if !noscan {
			// Tell the GC not to look at this yet.
			span.largeType = nil
			header = &span.largeType
		}
	}
	if !noscan && !delayedZeroing {

 * of the execution plan instead, which seems much nicer.
 * </p>
 * <p>
 * Additionally this class contains a clone of the MavenSession, which is *only* needed
 * because it has as notion of a "current" project.
 * </p>
 * <strong>NOTE:</strong> This class is not part of any public api and can be changed or deleted without prior notice.
 *
 * @since 3.0
 */
public final class ProjectSegment {

	// void __tsan_write_range(ThreadState *thr, void *addr, uintptr size, void *pc);
	MOVD	$__tsan_write_range(SB), R8
	BR	racecalladdr<>(SB)

// Call a __tsan function from Go code.
// R8 = tsan function address
// R3 = *ThreadState a.k.a. g_racectx from g
// R4 = addr passed to __tsan function
//
// Otherwise, setup goroutine context and invoke racecall. Other arguments already set.
TEXT	racecalladdr<>(SB), NOSPLIT, $0-0

        // Visit the edges after sorting the components in consumer-first order
        while (!queue.isEmpty()) {
            ComponentState component = queue.peekFirst();
            if (component.getVisitState() == VisitState.NotSeen) {
                component.setVisitState(VisitState.Visiting);
                int pos = 0;
                for (NodeState node : component.getNodes()) {
                    if (!node.isSelected()) {

     * the model builder operate in project mode. This mode is meant for effective models that are employed during the
     * build process of a local project. Hence the effective model will support the notion of a project directory. To
     * build the model for a POM from the repository, use {@link #setModelSource(ModelSource)} in combination with a
     * {@link FileModelSource} instead.
     *

#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.h.inc"

// GpuOpFusionPass is a pass performing fusion specific to GPU targets.
// This is an ad-hoc pass for now, but should be integrated with some notion
// of "target" in the MLIR pipeline in the future.
class GpuOpFusionPass : public impl::TensorflowGPUFusionBase<GpuOpFusionPass> {
 public:
  void runOnOperation() final;
};

	resources := runtimeapi.WindowsContainerResources{}

	memLimit := memoryLimit.Value()

	if !cpuLimit.IsZero() {
		// Since Kubernetes doesn't have any notion of weight in the Pod/Container API, only limits/reserves, then applying CpuMaximum only
		// will better follow the intent of the user. At one point CpuWeights were set, but this prevented limits from having any effect.