}

	x := base.Ctxt.Lookup(s.curfn.LSym.Name + ".opendefer")
	x.Set(obj.AttrContentAddressable, true)
	s.curfn.LSym.Func().OpenCodedDeferInfo = x

	off := 0
	off = objw.Uvarint(x, off, uint64(-s.deferBitsTemp.FrameOffset()))
	off = objw.Uvarint(x, off, uint64(-firstOffset))
}

// buildssa builds an SSA function for fn.
// worker indicates which of the backend workers is doing the processing.

      f = @identity} : (tensor<!tf_type.variant<tensor<f32>>>) -> tensor<!tf_type.variant<tensor<f32>>>
  %2 = "tf.OptionalGetValue"(%1) : (tensor<!tf_type.variant<tensor<f32>>>) -> tensor<f32>
  %3 = "tf.OptionalNone"() : () -> tensor<!tf_type.variant<tensor<f32>>>
  return %2, %3 : tensor<f32>, tensor<!tf_type.variant<tensor<f32>>>
}

func.func private @identity(%arg0: tensor<!tf_type.variant<tensor<f32>>>) -> tensor<!tf_type.variant<tensor<f32>>> {

            writeVariant(it)
        }
    }

    private
    suspend fun WriteContext.writeVariant(variant: VariantResolveMetadata) {
        writeString(variant.name)
        write(variant.identifier)
        write(variant.attributes)
        writeCollection(variant.artifacts)
    }

    override fun read(decoder: Decoder): LocalComponentGraphResolveState {

      // Results in a bad mismatch of shapes.
      %updated_list = "tf.TensorListSetItem"(%list, %index, %element) : (tensor<!tf_type.variant<tensor<64x1xbf16>>>, tensor<i32>, tensor<64x1xbf16>) -> tensor<!tf_type.variant<tensor<64x1xbf16>>>

      return %updated_list : tensor<!tf_type.variant<tensor<64x1xbf16>>>
    }
  })";

  auto compilation_result = CompileMlirModule(
      kTensorListSetItemDimensionTooLarge,

    auto extended_part = rewriter->create<TF::TensorListReserveOp>(
        loc, resize_op.getOutputHandle().getType(), elem_shape, size_diff);
    // `ConcatOp` expects non-variant-typed input. Insert a
    // `TensorListStackOp` here to convert type from variant to non-variant.
    // Note that we are using the same `result_type` for both the
    // `TensorListStackOp` and `ConcatOp`, since the first dimension of the

	RoutingPreference []LoadBalancing_Scope `protobuf:"varint,1,rep,packed,name=routing_preference,json=routingPreference,proto3,enum=istio.workload.LoadBalancing_Scope" json:"routing_preference,omitempty"`
	// mode defines how we should handle the routing preferences.
	Mode LoadBalancing_Mode `protobuf:"varint,2,opt,name=mode,proto3,enum=istio.workload.LoadBalancing_Mode" json:"mode,omitempty"`
}

        'deprecation:configurations-acting-as-both-root-and-variant' : 'Configurations should not act as both a resolution root and a variant simultaneously.',
        'deprecation:repository-jcenter' : 'The RepositoryHandler.jcenter() method has been deprecated.',
        'task-selection:no-matches' : 'cannot locate task',

                                PatternRewriter& rewriter) const override {
    Type elementType = getElementTypeOrSelf(op->getResult(0));
    Type newType = nullptr;
    if (auto variant = dyn_cast<TF::VariantType>(elementType)) {
      ArrayRef<TensorType> sub = variant.getSubtypes();
      if (sub.size() == 1) {
        auto inner = sub[0];
        if (!isa<TF::VariantType>(inner)) {
          newType = inner;
        }
      }
    }

      - name: istio-proxy
{{- if contains "/" .Values.image }}
        image: "{{ .Values.image }}"
{{- else }}
        image: "{{ .Values.hub }}/{{ .Values.image | default "ztunnel" }}:{{ .Values.tag }}{{with (.Values.variant )}}-{{.}}{{end}}"
{{- end }}
        ports:
        - containerPort: 15020
          name: ztunnel-stats
          protocol: TCP
        resources:
{{- if .Values.resources }}

==============================================================================*/

#include "tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph.h"

#include <cstdint>
#include <memory>
#include <string>
#include <variant>
#include <vector>

#include "absl/container/flat_hash_set.h"
#include "absl/log/log.h"
#include "absl/strings/str_cat.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/StringRef.h"