} else {
        new_output_types.push_back(result.getType());
      }
    }

    // Remove this rescale op.
    rewriter.replaceOp(op, {pre_quantized});

    // Replace the output scale of the preceding op.
    rewriter.setInsertionPointAfter(def);
    OperationState new_state(def->getLoc(), def->getName().getStringRef(),
                             def->getOperands(), new_output_types,

)

// ValidateScale validates a Scale and returns an ErrorList with any errors.
func ValidateScale(scale *autoscaling.Scale) field.ErrorList {
	allErrs := field.ErrorList{}
	allErrs = append(allErrs, apivalidation.ValidateObjectMeta(&scale.ObjectMeta, true, apimachineryvalidation.NameIsDNSSubdomain, field.NewPath("metadata"))...)

	if scale.Spec.Replicas < 0 {

			ObjectMeta: metav1.ObjectMeta{
				Name: "config",
			},
			Spec: admissionregistration.ValidatingAdmissionPolicyBindingSpec{
				PolicyName: "xyzlimit-scale.example.com",
				ParamRef: &admissionregistration.ParamRef{
					Name:                    "xyzlimit-scale-setting.example.com",
					ParameterNotFoundAction: ptr(admissionregistration.DenyAction),
				},
				MatchResources: &admissionregistration.MatchResources{

  constexpr absl::string_view kModuleCode = R"mlir(
    module {
      func.func @test_fold_constant() -> (tensor<1024x24x24x3xf32>) {
        %zp = "tf.Const"() {value = dense<2> : tensor<i32>} : () -> tensor<i32>
        %scale = "tf.Const"() {value = dense<2.0> : tensor<f32>} : () -> tensor<f32>
        %weight = "tf.Const"() {value = dense<1> : tensor<1024x24x24x3xi8>} : () -> tensor<1024x24x24x3xi8>

    }
    return success(changed);
  }

 private:
  // Checks whether the operation is connected with a composite function.
  // If not, the same-scale op will not be quantized. This decision is based
  // on the current assumption that the performance gain of the same-scale
  // op itself could not beat the overhead of the quantize and dequantize
  // routines need to be added around that op. When the assumption changes,

            "reason": "reasonValue",
            "fieldPath": "fieldPathValue",
            "optionalOldSelf": true
          }
        ]
      }
    },
    "subresources": {
      "status": {},
      "scale": {
        "specReplicasPath": "specReplicasPathValue",
        "statusReplicasPath": "statusReplicasPathValue",
        "labelSelectorPath": "labelSelectorPathValue"
      }
    },
    "versions": [
      {

# CHECK:       quantization: {
# CHECK:         scale: [ 0.093635 ],
# CHECK:         zero_point: [ 22 ]
# CHECK:       }
# CHECK:     }, {
# CHECK:       shape: [ 1, 6, 31 ],
# CHECK:       type: INT8,
# CHECK:       buffer: 6,
# CHECK:       name: "output",
# CHECK:       quantization: {
# CHECK:         scale: [ 0.093635 ],
# CHECK:         zero_point: [ 22 ]
# CHECK:       }

              "subresources": [
                {
                  "responseKind": {
                    "group": "autoscaling",
                    "kind": "Scale",
                    "version": "v1"
                  },
                  "subresource": "scale",
                  "verbs": [
                    "get",
                    "patch",
                    "update"
                  ]
                },

		if subresources.Scale.LabelSelectorPath != nil && len(*subresources.Scale.LabelSelectorPath) > 0 {
			if errs := validateSimpleJSONPath(*subresources.Scale.LabelSelectorPath, fldPath.Child("scale.labelSelectorPath")); len(errs) > 0 {
				allErrs = append(allErrs, errs...)
			} else if !strings.HasPrefix(*subresources.Scale.LabelSelectorPath, ".spec.") && !strings.HasPrefix(*subresources.Scale.LabelSelectorPath, ".status.") {

}

// Scale represents a scaling request for a resource.
message Scale {
  // Standard object metadata; More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata.
  // +optional
  optional .k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;