for _, successCase := range successCases {
		if errs := ValidateScale(&successCase); len(errs) != 0 {
			t.Errorf("expected success: %v", errs)
		}
	}

	errorCases := []struct {
		scale autoscaling.Scale
		msg   string
	}{{
		scale: autoscaling.Scale{
			ObjectMeta: metav1.ObjectMeta{
				Name:      "frontend",
				Namespace: metav1.NamespaceDefault,
			},
			Spec: autoscaling.ScaleSpec{
				Replicas: -1,
			},
		},

          input_tensor: Input tensor to perform convolution on.

        Returns:
          A map of: output key -> output result.
        """
        scale = [1.0] * self.out_channel_size
        offset = [0.5] * self.out_channel_size
        mean, variance = scale, offset
        out = nn_ops.depthwise_conv2d_native(
            input_tensor,
            self.filters,
            strides=[1, 2, 2, 1],

//              scale * rsqrt(variance + epsilon)
// CHECK:  %[[MUL1:.*]] = "tf.Mul"(%[[ARG1:.*]], %[[RSQRT]])
//              x * scale * rsqrt(variance + epsilon)
// CHECK:  %[[MUL2:.*]] = "tf.Mul"(%[[ARG0:.*]], %[[MUL1]])
//              mean * scale * rsqrt(variance + epsilon)
// CHECK:  %[[MUL3:.*]] = "tf.Mul"(%[[ARG3:.*]], %[[MUL1]])
//              offset - mean * scale * rsqrt(variance + epsilon)

	out.Status = (*apiextensions.CustomResourceSubresourceStatus)(unsafe.Pointer(in.Status))
	out.Scale = (*apiextensions.CustomResourceSubresourceScale)(unsafe.Pointer(in.Scale))
	return nil
}

// Convert_v1_CustomResourceSubresources_To_apiextensions_CustomResourceSubresources is an autogenerated conversion function.

	out.Status = (*apiextensions.CustomResourceSubresourceStatus)(unsafe.Pointer(in.Status))
	out.Scale = (*apiextensions.CustomResourceSubresourceScale)(unsafe.Pointer(in.Scale))
	return nil
}

// Convert_v1beta1_CustomResourceSubresources_To_apiextensions_CustomResourceSubresources is an autogenerated conversion function.

// RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true post-training-quantize=true" -cse | FileCheck %s
// RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true post-training-quantize=true legacy-float-scale=true" -cse| FileCheck --check-prefix=Legacy %s

// CHECK-LABEL: QuantizeLstmCellInput
func.func @QuantizeLstmCellInput(%arg0: tensor<1x28x28xf32>) -> tensor<1x28x20xf32> {
    %cst_2 = "tfl.no_value"() {value = unit} : () -> none

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>

carriage:before{content:"\f77d"}.fa-backspace:before{content:"\f55a"}.fa-backward:before{content:"\f04a"}.fa-bacon:before{content:"\f7e5"}.fa-bahai:before{content:"\f666"}.fa-balance-scale:before{content:"\f24e"}.fa-balance-scale-left:before{content:"\f515"}.fa-balance-scale-right:before{content:"\f516"}.fa-ban:before{content:"\f05e"}.fa-band-aid:before{content:"\f462"}.fa-bandcamp:before{content:"\f2d5"}.fa-barcode:before{content:"\f02a"}.fa-bars:before{content:"\f0c9"}.fa-baseball-ball:before{...

carriage:before{content:"\f77d"}.fa-backspace:before{content:"\f55a"}.fa-backward:before{content:"\f04a"}.fa-bacon:before{content:"\f7e5"}.fa-bahai:before{content:"\f666"}.fa-balance-scale:before{content:"\f24e"}.fa-balance-scale-left:before{content:"\f515"}.fa-balance-scale-right:before{content:"\f516"}.fa-ban:before{content:"\f05e"}.fa-band-aid:before{content:"\f462"}.fa-bandcamp:before{content:"\f2d5"}.fa-barcode:before{content:"\f02a"}.fa-bars:before{content:"\f0c9"}.fa-baseball-ball:before{...

  //
  // 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.
  //