func.func @main() -> (tensor<2x3x2x2xf32>) {
        %0 = stablehlo.constant dense<1.0> : tensor<3x4x2xf32>
        %1 = stablehlo.constant dense<2> : tensor<2x3x2xi64>
        %2 = "stablehlo.gather"(%0, %1) {
          dimension_numbers = #stablehlo.gather<
            offset_dims = [2, 3],
            collapsed_slice_dims = [0],
            start_index_map = [1, 0],
            index_vector_dim = 2>,

// CHECK-NEXT:      %17 = "tfl.gather"(%14, %16) <{axis = 0 : i32, batch_dims = 0 : i32}> : (tensor<3xi32>, tensor<2xi64>) -> tensor<2xi32>
// CHECK-NEXT:      %18 = "tfl.pseudo_const"() <{value = dense<1> : tensor<1xi64>}> : () -> tensor<1xi64>
// CHECK-NEXT:      %19 = "tfl.gather"(%15, %18) <{axis = 0 : i32, batch_dims = 0 : i32}> : (tensor<3xi32>, tensor<1xi64>) -> tensor<1xi32>

	"type":              "type is the type of metric source.  It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",

      : test_mode_(false), calib_opts_(calib_opts) {}

  InsertCustomAggregationOpsPass(const InsertCustomAggregationOpsPass &other) {
    test_mode_ = other.test_mode_;
    test_case_ = other.test_case_;
    calib_opts_ = other.calib_opts_;
    initializeForTest();
  }

  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(InsertCustomAggregationOpsPass)

	"type":              "type is the type of metric source.  It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",

// (only `type` and one other matching field should be set at once).
message MetricSpec {
  // type is the type of metric source.  It should be one of "ContainerResource",
  // "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object.
  // Note: "ContainerResource" type is available on when the feature-gate
  // HPAContainerMetrics is enabled
  optional string type = 1;

// (only `type` and one other matching field should be set at once).
message MetricSpec {
  // type is the type of metric source.  It should be one of "ContainerResource",
  // "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object.
  // Note: "ContainerResource" type is available on when the feature-gate
  // HPAContainerMetrics is enabled
  optional string type = 1;

// designate the dimension indices that were collapsed to produce `tensor_type`.
// The restored dimensions' sizes are 1, according to the semantics of
// `XlaGatherOp (https://www.tensorflow.org/xla/operation_semantics#gather). The
// resulting type's shape has `tensor_type.size() + collapsed_dims.size()`
// dimensions.
RankedTensorType RestoreCollapsedDimensions(
    const RankedTensorType tensor_type,

func (m *monitorGatherer) Gather() ([]*dto.MetricFamily, error) {
	etcdMetrics, err := scrapeMetrics()
	if err != nil {
		return nil, err
	}
	exported, err := m.rewriteExportedMetrics(etcdMetrics)
	if err != nil {
		return nil, err
	}
	custom, err := customMetricRegistry.Gather()
	if err != nil {
		return nil, err
	}

    // CHECK: %[[GATHER:.*]] = "stablehlo.gather"(%[[CALL]], %[[ARG2]])
    // CHECK-SAME: (tensor<3x4x2x!quant.uniform<i8:f32, 0.13170163023705575:-1>>, tensor<2x3x2xi64>) -> tensor<2x3x2x2x!quant.uniform<i8:f32, 0.13170163023705575:-1>>
    // CHECK: %[[DQ:.*]] = "quantfork.dcast"(%[[GATHER]]) : (tensor<2x3x2x2x!quant.uniform<i8:f32, 0.13170163023705575:-1>>) -> tensor<2x3x2x2xf32>