var firstErr error
	for i, mapping := range mappings {
		targetGR := mapping.Resource.GroupResource()
		scale, err := a.scaleNamespacer.Scales(namespace).Get(ctx, targetGR, name, metav1.GetOptions{})
		if err == nil {
			return scale, targetGR, nil
		}

		// if this is the first error, remember it,

}

// +genclient
// +genclient:method=GetScale,verb=get,subresource=scale,result=Scale
// +genclient:method=UpdateScale,verb=update,subresource=scale,input=Scale,result=Scale
// +genclient:method=ApplyScale,verb=apply,subresource=scale,input=Scale,result=Scale
// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object
// +k8s:prerelease-lifecycle-gen:introduced=1.8

		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 {

		return err
	}
	if err := s.AddGeneratedConversionFunc((*v1beta1.Scale)(nil), (*autoscaling.Scale)(nil), func(a, b interface{}, scope conversion.Scope) error {
		return Convert_v1beta1_Scale_To_autoscaling_Scale(a.(*v1beta1.Scale), b.(*autoscaling.Scale), scope)
	}); err != nil {
		return err
	}
	if err := s.AddGeneratedConversionFunc((*autoscaling.Scale)(nil), (*v1beta1.Scale)(nil), func(a, b interface{}, scope conversion.Scope) error {

}

// +genclient
// +genclient:method=GetScale,verb=get,subresource=scale,result=Scale
// +genclient:method=UpdateScale,verb=update,subresource=scale,input=Scale,result=Scale
// +genclient:method=ApplyScale,verb=apply,subresource=scale,input=Scale,result=Scale
// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object
// +k8s:prerelease-lifecycle-gen:introduced=1.2

    // CHECK-DAG: %[[SIGN:.*]] = "tf.Sign"(%[[PROX]]) : (tensor<4xf32>) -> tensor<4xf32>
    // CHECK-DAG: %[[ABS:.*]] = "tf.Abs"(%[[PROX]]) : (tensor<4xf32>) -> tensor<4xf32>
    // CHECK-DAG: %[[SCALED_L1:.*]] = "tf.Mul"(%[[ADAGRAD_LR]], %[[L1]]) : (tensor<4xf32>, tensor<f32>) -> tensor<4xf32>
    // CHECK-DAG: %[[PROX_NEW:.*]] = "tf.Sub"(%[[ABS]], %[[SCALED_L1]]) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>

    float_min = -float_max;
  }

  ASSERT_THAT(quantized_quant_params.scale, SizeIs(1));
  ASSERT_THAT(quantized_quant_params.zero_point, SizeIs(1));
  float scale = (float_max - float_min) / ((1 << bit_num) - 1);
  EXPECT_THAT(scale, FloatNear(quantized_quant_params.scale[0], eps));
}

class QuantizeModelTest : public testing::Test {
 protected:
  QuantizeModelTest() {

func.func @selu(%arg0: tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xf32> {
    // CHECK-DAG:   %[[ZERO:.*]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<f32>}> : () -> tensor<f32>
    // CHECK-DAG:   %[[SCALE:.*]] = "tf.Const"() <{value = dense<1.05070102> : tensor<f32>}> : () -> tensor<f32>
    // CHECK-DAG:   %[[SCALED_ALPHA:.*]] = "tf.Const"() <{value = dense<1.75809932> : tensor<f32>}> : () -> tensor<f32>

}

def TF_BesselI0eOp : TF_Op<"BesselI0e", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes the Bessel i0e function of `x` element-wise.";

  let description = [{
Exponentially scaled modified Bessel function of order 0 defined as
`bessel_i0e(x) = exp(-abs(x)) bessel_i0(x)`.

This function is faster and numerically stabler than `bessel_i0(x)`.
  }];

  let arguments = (ins

  //
  // For example:
  // 'pods' means pods.
  // 'pods/log' means the log subresource of pods.
  // '*' means all resources, but not subresources.
  // 'pods/*' means all subresources of pods.
  // '*/scale' means all scale subresources.
  // '*/*' means all resources and their subresources.
  //
  // If wildcard is present, the validation rule will ensure resources do not
  // overlap with each other.
  //