type: integer
                          weight:
                            default: 1
                            description: "Weight specifies the proportion of requests
                              forwarded to the referenced backend. This is computed
                              as weight/(sum of all weights in this BackendRefs list).

      "description": "The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)",
      "properties": {
        "podAffinityTerm": {
          "$ref": "#/definitions/io.k8s.api.core.v1.PodAffinityTerm",
          "description": "Required. A pod affinity term, associated with the corresponding weight."
        },
        "weight": {

  Output weights_0 = ops::VarHandleOp(scope.WithOpName("weights_0"), DT_FLOAT,
                                      TensorShape({1000}));
  Output weights_1 = ops::VarHandleOp(scope.WithOpName("weights_1"), DT_FLOAT,
                                      TensorShape({1000}));

  // We update the weights by adding delta to them (to "simulate" a

additionalProperties: type: integer description: Set of ports associated with the endpoint. type: object serviceAccount: description: The service account associated with the workload if a sidecar is present in the workload. type: string weight: description: The load balancing weight associated with the endpoint. type: integer type: object type: array exportTo: description: A list of namespaces to which this service is exported. items: type: string type: array hosts: description: The hosts associated with the...

			Address: netutils.ParseIPSloppy(ip),
			Port:    uint16(portNum),
			Weight:  1,
		}

		if curEndpoints.Has(ep) {
			// if we are syncing for the first time, loop through all current destinations and
			// reset their weight.
			if proxier.initialSync {
				for _, dest := range curDests {
					if dest.Weight != newDest.Weight {
						err = proxier.ipvs.UpdateRealServer(appliedVirtualServer, newDest)

}

// WeightedPodAffinityTerm represents the weights of all of the matched WeightedPodAffinityTerm
// fields are added per-node to find the most preferred node(s)
type WeightedPodAffinityTerm struct {
	// weight associated with matching the corresponding podAffinityTerm,
	// in the range 1-100.
	Weight int32
	// Required. A pod affinity term, associated with the corresponding weight.
	PodAffinityTerm PodAffinityTerm
}

}

// The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)
message WeightedPodAffinityTerm {
  // weight associated with matching the corresponding podAffinityTerm,
  // in the range 1-100.
  optional int32 weight = 1;

  // Required. A pod affinity term, associated with the corresponding weight.
  optional PodAffinityTerm podAffinityTerm = 2;

var map_WeightedPodAffinityTerm = map[string]string{
	"":                "The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)",
	"weight":          "weight associated with matching the corresponding podAffinityTerm, in the range 1-100.",
	"podAffinityTerm": "Required. A pod affinity term, associated with the corresponding weight.",
}

        /*input=*/new_filter);
    rewriter.replaceAllUsesExcept(filter_op->getResult(0), dq.getOutput(), dq);
  }

 private:
  // Returns new quantized type for weights after transpose.
  Type GetNewWeightQuantizedType(MLIRContext* context, Location location,
                                 ArrayRef<int64_t> new_shape, Type filter_type,

        // This filter goes through quantize and dequantize ops. Then we just
        // need to update the weight to the quantize op.
        filter.replaceAllUsesWith(new_filter_op);
      } else {
        // This filter doesn't go through quantize and dequantize ops, Then
        // we update the weight of the affine op directly.
        fc_op.setOperand(1, new_filter_op);
      }
    } else {