// TFR_ConstantTensorOp (
  //   ConstantOp (ConstAttr<F32Attr (in_scale[0] * in_scale[1] /
  //   out_scale))
  // )
  // Currently, all decompositions using this pattern (Conv2D, FC) have the
  // following preconditions:
  // * out_scale: float scalar attribute
  // * in_scale[0] (input scale): float scalar, given by tf.Const -> tfr.cast
  // * in_scale[1] (filter scale): float scalar/vector

  auto &state = GetResultQuantState(op, res_index);
  if (state.params == params) {
    return false;
  }
  if (!state.IsEmpty()) {
    auto &rescale = GetResultRequantizeState(op, res_index);
    rescale.params = params;
    rescale.pos = RequantizeState::ON_INPUT;
    return false;
  }
  state.params = params;
  return true;
}

      e.preventDefault();
    } else if (mode == TOUCHZOOM) {
      // Get two touches; new gap; rescale to ratio.
      const t1 = findTouch(e.touches, touchid);
      const t2 = findTouch(e.touches, touchid2);
      if (t1 == null || t2 == null) return;
      const gap = touchGap(t1, t2);
      rescale(initScale * gap / initGap, centerPoint);
      e.preventDefault();
    }
  }

	mapper.RegisterKindFor(gvr("apps", "v1", "deployments"), "scale", gvk("autoscaling", "v1", "Scale"))
	mapper.RegisterKindFor(gvr("apps", "v1beta1", "deployments"), "scale", gvk("apps", "v1beta1", "Scale"))
	mapper.RegisterKindFor(gvr("apps", "v1alpha1", "deployments"), "scale", gvk("apps", "v1alpha1", "Scale"))

	// register invalid kinds to trigger an error

		return nil, errors.NewBadRequest("nil update passed to Scale")
	}
	scale, ok := newScaleObj.(*autoscaling.Scale)
	if !ok {
		return nil, errors.NewBadRequest(fmt.Sprintf("expected input object type to be Scale, but %T", newScaleObj))
	}

	// validate
	if errs := autoscalingvalidation.ValidateScale(scale); len(errs) > 0 {
		return nil, errors.NewInvalid(autoscaling.Kind("Scale"), statefulset.Name, errs)
	}

				},
				{
					Manager:     "scale",
					Operation:   metav1.ManagedFieldsOperationUpdate,
					APIVersion:  "apps/v1",
					FieldsType:  "FieldsV1",
					FieldsV1:    &metav1.FieldsV1{Raw: []byte(`{"f:spec":{"f:the-replicas":{}}}`)},
					Subresource: "scale",
				},
			},
		},
		{
			desc:         "Custom resource without scale subresource, scaling a version with `scale`",

		storage.Status = &StatusREST{store: &statusStore}
	}

	if scale := strategy.scale; scale != nil {
		var labelSelectorPath string
		if scale.LabelSelectorPath != nil {
			labelSelectorPath = *scale.LabelSelectorPath
		}

		storage.Scale = &ScaleREST{
			store:               store,
			specReplicasPath:    scale.SpecReplicasPath,
			statusReplicasPath:  scale.StatusReplicasPath,
			labelSelectorPath:   labelSelectorPath,

		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 != int32(replicas) {
		t.Errorf("wrong replicas count expected: %d got: %d", replicas, scale.Spec.Replicas)
	}

		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