/*scale=*/1.0, /*zero_point=*/0);

  EXPECT_TRUE(quantized_type.getExpressedType().isF32());
}

TEST_F(CreateI8F32UniformQuantizedTypeTest, SignedQuantizedTypeSucceeds) {
  const UniformQuantizedType quantized_type =
      CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_,
                                      /*scale=*/1.0, /*zero_point=*/0);

			expectedNew: rs("foo-v3", 1, nil, newTimestamp),
			expectedOld: []*apps.ReplicaSet{rs("foo-v2", 5, nil, oldTimestamp), rs("foo-v1", 2, nil, olderTimestamp)},
		},
		// Scales up the new replica set.
		{
			name:          "leftover distribution: 3 -> 4",
			deployment:    newDeployment("foo", 4, nil, nil, nil, nil),
			oldDeployment: newDeployment("foo", 3, nil, nil, nil, nil),

  optional ScaleSpec spec = 2;

  // current status of the scale. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status. Read-only.
  // +optional
  optional ScaleStatus status = 3;
}

// ScaleSpec describes the attributes of a scale subresource
message ScaleSpec {
  // desired number of instances for the scaled object.
  // +optional
  optional int32 replicas = 1;
}

  optional ScaleSpec spec = 2;

  // current status of the scale. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status. Read-only.
  // +optional
  optional ScaleStatus status = 3;
}

// ScaleSpec describes the attributes of a scale subresource
message ScaleSpec {
  // desired number of instances for the scaled object.
  // +optional
  optional int32 replicas = 1;
}

		defer cancel()
		scaled, err := controller.reconcileNewReplicaSet(ctx, allRSs, newRS, deployment)
		if err != nil {
			t.Errorf("unexpected error: %v", err)
			continue
		}
		if !test.scaleExpected {
			if scaled || len(fake.Actions()) > 0 {
				t.Errorf("unexpected scaling: %v", fake.Actions())
			}
			continue
		}
		if test.scaleExpected && !scaled {
			t.Errorf("expected scaling to occur")

  // CHECK: return %[[DEQUANTIZE]] : tensor<2xf32>

  %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
    quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
  } : (tensor<2xf32>, tensor<f32>, tensor<i32>) -> tensor<2x!tf_type.qint8>
  %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
    quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64

	return false
}

// scaleUpNewReplicaSetForRecreate scales up new replica set when deployment strategy is "Recreate".
func (dc *DeploymentController) scaleUpNewReplicaSetForRecreate(ctx context.Context, newRS *apps.ReplicaSet, deployment *apps.Deployment) (bool, error) {
	scaled, _, err := dc.scaleReplicaSetAndRecordEvent(ctx, newRS, *(deployment.Spec.Replicas), deployment)
	return scaled, err

    SetSystemProperties systemProperties = new SetSystemProperties()

    def "scaled value should be always larger than or equal to granularity"() {
        given:
        def heapProportionalCacheSizer = new HeapProportionalCacheSizer(1)
        when:
        def scaled = heapProportionalCacheSizer.scaleCacheSize(100, 100)
        then:
        scaled >= 100
    }

    def "cache cap sizer adjusts caps based on maximum heap size"() {

  OutputInputFreeScale,
  CustomScale,
};

// Each kernel signature has its own specification for scales.
struct KernelSpec {
  // Scale constraint
  ScaleConstraintType type;

  // Custom function to derive the scales. Only available when the scale
  // constraint is `CustomScale`.
  ScaleFn scale_fn;
};

class KernelSpecs {
 public:
  using Signature = llvm::SmallVector<quant::AnyQuantizedType, 4>;

Daniel Smith <******@****.***> 1651776874 +0000