nodeName     string
}

func hash(val string, max int) int {
	hasher := fnv.New32a()
	io.WriteString(hasher, val)
	return int(hasher.Sum32() % uint32(max))
}

// GetPodsByNodeNameFunc returns the list of pods assigned to the specified node.
type GetPodsByNodeNameFunc func(nodeName string) ([]*v1.Pod, error)

// Controller listens to Taint/Toleration changes and is responsible for removing Pods
// from Nodes tainted with NoExecute Taints.

    //  it is explicitly spelled.

    private final DisplayName displayName;
    // Null when the value has been calculated and assigned to the result field. When not null the result has not been calculated
    // or is currently being calculated or has just been calculated. It is possible for both this field and the result field to be

  //
  // We want everything starting from Const{0/1} to Identity to either wholly
  // live on the host or wholly live on device so we need to pick a data type
  // that is either consistently assigned to the device (e.g. float) or
  // consistently assigned to the host (e.g. int32).  We should *not* pick a
  // data type that partly placed on the host and partly on the device
  // (e.g. bool constants are placed on the device but bool Identity is placed

#include "tensorflow/core/common_runtime/dma_helper.h"
#include "tensorflow/core/framework/tensor_reference.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {

// The allocator used for Tensors assigned to the XLA device.
XlaDeviceAllocator::XlaDeviceAllocator(
    stream_executor::StreamExecutor* stream_executor)
    : stream_executor_(stream_executor) {}

XlaDeviceAllocator::~XlaDeviceAllocator() = default;

	// it depends on are the remaining objects on that path. Color encoding
	// is such that the color value of a grey object indicates the index of
	// that object in the object path.

	// During type-checking, white objects may be assigned a type without
	// traversing through objDecl; e.g., when initializing constants and
	// variables. Update the colors of those objects here (rather than
	// everywhere where we set the type) to satisfy the color invariants.

	// it depends on are the remaining objects on that path. Color encoding
	// is such that the color value of a grey object indicates the index of
	// that object in the object path.

	// During type-checking, white objects may be assigned a type without
	// traversing through objDecl; e.g., when initializing constants and
	// variables. Update the colors of those objects here (rather than
	// everywhere where we set the type) to satisfy the color invariants.

	//  var _ T2 = x
	InvalidChanAssign

	// IncompatibleAssign occurs when the type of the right-hand side expression
	// in an assignment cannot be assigned to the type of the variable being
	// assigned.
	//
	// Example:
	//  var x []int
	//  var _ int = x
	IncompatibleAssign

	// UnaddressableFieldAssign occurs when trying to assign to a struct field
	// in a map value.

	BinaryPathFilename = "/usr/local/bin/envoy"

	// ServiceClusterName service cluster name used in xDS calls
	ServiceClusterName = "istio-proxy"

	// IstioIngressGatewayName is the internal gateway name assigned to ingress
	IstioIngressGatewayName = "istio-autogenerated-k8s-ingress"

	KubernetesGatewayName = "istio-autogenerated-k8s-gateway"

					switch {
					case errors.IsNotFound(err):
						// if the referenced Node object does not exist, we still embed just the pod name into the
						// claims so that clients still have some indication of what node a pod is assigned to when
						// inspecting a token (even if the UID is not present).
						klog.V(4).ErrorS(err, "failed fetching node for pod", "pod", klog.KObj(pod), "podUID", pod.UID, "nodeName", nodeName)

  }
};

// Checks if the input producer op is supported in this transform. Right now, we
// only check if it is a tf.IteratorGetNext where resource input is coming from
// a VarHandle on CPU or a function argument assigned to CPU.
bool IsSupportedInputOp(
    Operation* op,
    const TF::ResourceAliasAnalysis::Info& resource_alias_analysis) {
  TF::IteratorGetNextOp iterator_op = llvm::dyn_cast<TF::IteratorGetNextOp>(op);