func.return %0 : tensor<7xi64>

  // CHECK-LABEL: scatter_nd_add
  // CHECK:  %[[GATHER:.*]] = "tf.GatherNd"(%arg0, %arg1) <{bad_indices_policy = ""}> : (tensor<7xi64>, tensor<1x1xi32>) -> tensor<1xi64>
  // CHECK:  %[[ADD:.*]] = "tf.Add"(%arg2, %[[GATHER]]) : (tensor<1xi64>, tensor<1xi64>) -> tensor<1xi64>

  // When unset, just the metricName will be used to gather metrics.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector selector = 2;
}

// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
message MetricSpec {

}

func (MetricIdentifier) SwaggerDoc() map[string]string {
	return map_MetricIdentifier
}

var map_MetricSpec = map[string]string{
	"":                  "MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).",

	var sfiles []string
	for _, fname := range pass.OtherFiles {
		if strings.HasSuffix(fname, ".s") {
			sfiles = append(sfiles, fname)
		}
	}
	if sfiles == nil {
		return nil, nil
	}

	// Gather declarations. knownFunc[name][arch] is func description.
	knownFunc := make(map[string]map[string]*asmFunc)

	for _, f := range pass.Files {
		for _, decl := range f.Decls {

    Res<TF_Tensor, [{Values from `params` gathered from indices given by `indices`, with
shape `indices.shape[:-1] + params.shape[indices.shape[-1]:]`.}]>:$output
  );

  TF_DerivedOperandTypeAttr Tindices = TF_DerivedOperandTypeAttr<1>;
  TF_DerivedOperandTypeAttr Tparams = TF_DerivedOperandTypeAttr<0>;
}

def TF_GatherV2Op : TF_Op<"GatherV2", [Pure]> {
  let summary = [{

//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of

				break
			}

			tctx := newTestContext(*parallel, m)
			tctx.deadline = deadline
			fctx := &fuzzContext{deps: deps, mode: seedCorpusOnly}
			root := common{w: os.Stdout} // gather output in one place
			if Verbose() {
				root.chatty = newChattyPrinter(root.w)
			}
			for _, ft := range fuzzTests {
				if shouldFailFast() {
					break
				}

      .add<XlaCallModuleOpToCallOp<QuantizeWeightOnlyOpPattern<DotGeneralOp>>>(
          ctx, enable_per_channel_quantized_weight);
  // TODO: b/307620772 - Per-channel quantization for gather.
  patterns.add<XlaCallModuleOpToCallOp<QuantizeSingularOpPattern<GatherOp>>>(
      ctx, /*enable_per_channel_quantized_weight=*/false);
  // Populate pattern for quantization of ops with regions such as
  // `stablehlo.reduce_window` op.

// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// 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

        /*collapsedSliceDims=*/collapsed_dims,
        /*operandBatchingDims=*/{},
        /*startIndicesBatchingDims=*/{}, start_index_map,
        /*indexVectorDim=*/0);
    Value gather = rewriter.create<mhlo::GatherOp>(
        loc, op.getInput(), start_indices, dims_attr,
        GetI64ElementsAttr(slice_sizes, &rewriter));

    // We now need to broadcast the "in_bounds" boolean expression, as well as