in_y);
    auto out_w_f32 = rewriter.create<CastOp>(
        loc, tensorflow::GetTypeFromTFTensorShape({}, rewriter.getF32Type()),
        out_y);

    Value y_scale = rewriter.create<DivOp>(
        loc, tensorflow::GetTypeFromTFTensorShape({}, rewriter.getF32Type()),
        in_y_f32, out_w_f32);

    Value zero_f32 = rewriter.create<ConstOp>(

		t.Fatalf("error updating scale %v: %v", update, err)
	}
	obj, err := storage.Scale.Get(ctx, name, &metav1.GetOptions{})
	if err != nil {
		t.Fatalf("error fetching scale for %s: %v", name, err)
	}
	scale := obj.(*autoscaling.Scale)
	if scale.Spec.Replicas != replicas {
		t.Errorf("wrong replicas count expected: %d got: %d", replicas, rc.Spec.Replicas)
	}

	update.ResourceVersion = rc.ResourceVersion

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/autoscaling/v2";

// ContainerResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to

namespace mlir::quant::stablehlo {

// Checks whether an op is connected with a quantized 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, this policy might

tfr.func @tf__my_requantize(%input: !tfr.tensor) -> !tfr.tensor {
  %raw_data = tfr.quant_raw_data(%input) : (!tfr.tensor) -> !tfr.tensor
  %scale, %zp = tfr.quant_qparam(%input) : (!tfr.tensor) -> (!tfr.tensor, !tfr.tensor)
  %result = tfr.call @tf__requantize(%raw_data, %scale, %zp) : (!tfr.tensor, !tfr.tensor, !tfr.tensor) -> !tfr.tensor
  tfr.return %result : !tfr.tensor
}

// CHECK-LABEL: @tf__intermediate

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/autoscaling/v2beta1";

// ContainerResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to

    verbs:
    - create
  - apiGroups:
    - apps
    resources:
    - daemonsets
    - deployments
    - deployments/rollback
    - deployments/scale
    - replicasets
    - replicasets/scale
    - statefulsets
    - statefulsets/scale
    verbs:
    - create
    - delete
    - deletecollection
    - patch
    - update
  - apiGroups:
    - autoscaling
    resources:

		}
	}
	return false
}

// Scale a measurement from a unit to a different unit and returns
// the scaled value and the target unit. The returned target unit
// will be empty if uninteresting (could be skipped).
func Scale(value int64, fromUnit, toUnit string) (float64, string) {
	// Avoid infinite recursion on overflow.
	if value < 0 && -value > 0 {
		v, u := Scale(-value, fromUnit, toUnit)
		return -v, u
	}

)

// +genclient
// +genclient:method=GetScale,verb=get,subresource=scale,result=k8s.io/api/autoscaling/v1.Scale
// +genclient:method=UpdateScale,verb=update,subresource=scale,input=k8s.io/api/autoscaling/v1.Scale,result=k8s.io/api/autoscaling/v1.Scale
// +genclient:method=ApplyScale,verb=apply,subresource=scale,input=k8s.io/api/autoscaling/v1.Scale,result=k8s.io/api/autoscaling/v1.Scale
// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object

// Converts tf.FusedBatchNormV3 into a sequence of more primitive arithmetic
// operations. Specifically, performs the following calculation:
//
//   (x - mean) * scale / sqrt(variance + epsilon) + offset
//
// Let multiplier = scale / sqrt(variance + epsilon),
// to compute
//   (x - mean) * scale / sqrt(variance + epsilon) + offset,
// is then to compute
//   (x * multiplier) + (offset - mean * multiplier).
//