)

// 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 {

// needed to construct the operands for the fused op. The caller provides the
// containing FuncOp as input with arguments specifying the input, weight,
// projection, bias and layer norm scale. The weight, projection, bias and
// layer norm scale all need to be RankedTensorType.
// This class overrides the layer norm coefficient setters from the base class.
class ConvertLayerNormalizedLSTMCellSimpleToFusedLSTM

  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>

	{"kern.cp_time2", []_C_int{1, 71}},
	{"kern.cpustats", []_C_int{1, 85}},
	{"kern.domainname", []_C_int{1, 22}},
	{"kern.file", []_C_int{1, 73}},
	{"kern.forkstat", []_C_int{1, 42}},
	{"kern.fscale", []_C_int{1, 46}},
	{"kern.fsync", []_C_int{1, 33}},
	{"kern.global_ptrace", []_C_int{1, 81}},
	{"kern.hostid", []_C_int{1, 11}},
	{"kern.hostname", []_C_int{1, 10}},
	{"kern.intrcnt.nintrcnt", []_C_int{1, 63, 1}},

    }
    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:       }

}

// 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;

		return err
	}
	if err := s.AddGeneratedConversionFunc((*v1beta2.Scale)(nil), (*autoscaling.Scale)(nil), func(a, b interface{}, scope conversion.Scope) error {
		return Convert_v1beta2_Scale_To_autoscaling_Scale(a.(*v1beta2.Scale), b.(*autoscaling.Scale), scope)
	}); err != nil {
		return err
	}
	if err := s.AddGeneratedConversionFunc((*autoscaling.Scale)(nil), (*v1beta2.Scale)(nil), func(a, b interface{}, scope conversion.Scope) error {

	{"kern.cp_time2", []_C_int{1, 71}},
	{"kern.cpustats", []_C_int{1, 85}},
	{"kern.domainname", []_C_int{1, 22}},
	{"kern.file", []_C_int{1, 73}},
	{"kern.forkstat", []_C_int{1, 42}},
	{"kern.fscale", []_C_int{1, 46}},
	{"kern.fsync", []_C_int{1, 33}},
	{"kern.global_ptrace", []_C_int{1, 81}},
	{"kern.hostid", []_C_int{1, 11}},
	{"kern.hostname", []_C_int{1, 10}},
	{"kern.intrcnt.nintrcnt", []_C_int{1, 63, 1}},