return conflictResolver.resolveConflicts(getGraph(), ArtifactScopeEnum.compile);
        } else if (requestType.equals(MetadataResolutionRequestTypeEnum.classpathRuntime)) {
            return conflictResolver.resolveConflicts(getGraph(), ArtifactScopeEnum.runtime);
        } else if (requestType.equals(MetadataResolutionRequestTypeEnum.classpathTest)) {
            return conflictResolver.resolveConflicts(getGraph(), ArtifactScopeEnum.test);

  protobuf::Map<string, SignatureDef> signatures_;
};

// Restore variable and resources in the SavedModel export dir for the
// indicated metagraph.
// The recommended way to load a saved model is to call LoadSavedModel,
// which provides an already initialized Metagraph, Session, and DebugInfo.
Status RestoreSession(const RunOptions& run_options,
                      const MetaGraphDef& meta_graph, const string& export_dir,

}

Status GetAssetFileDefs(const MetaGraphDef& meta_graph_def,
                        std::vector<AssetFileDef>* asset_file_defs) {
  // With SavedModel v2, we write asset file def into metagraph instead of
  // collection, so read from metagraph first.
  if (meta_graph_def.asset_file_def_size() > 0) {
    for (const auto& asset : meta_graph_def.asset_file_def()) {
      asset_file_defs->push_back(asset);
    }
    return absl::OkStatus();

// to achieve ABI stability.
typedef struct TF_SavedModel TF_SavedModel;

// Load a SavedModel from `dirname`. We expect the SavedModel to contain a
// single Metagraph (as for those exported from TF2's `tf.saved_model.save`).
//
// Params:
//  dirname - A directory filepath that the SavedModel is at.
//  ctx - A TFE_Context containing optional load/TF runtime options.

Status ValidateSingleConcreteFunction(const SavedFunction& saved_function);

// Walks through the SavedObjectGraph in metagraph, and restores all nodes
// (except "UserDefinedObjects") with their corresponding type in
// "PartiallyRevivedObjects".
Status PartiallyReviveSavedModelObjects(const MetaGraphDef& metagraph,
                                        ImmediateExecutionContext* context,

  //            returned TF_SavedModel pointer.
  //  tags - Optional set of tags. If tags = nullptr, we expect the SavedModel
  //         to contain a single Metagraph (as for those exported from TF2's
  //         `tf.saved_model.save`). If tags != nullptr, we load the metagraph
  //         matching the tags:

package dag

import (
	"cmp"
	"fmt"
	"slices"
	"strings"
)

type Graph struct {
	Nodes   []string
	byLabel map[string]int
	edges   map[string]map[string]bool
}

func newGraph() *Graph {
	return &Graph{byLabel: map[string]int{}, edges: map[string]map[string]bool{}}
}

func (g *Graph) addNode(label string) bool {
	if _, ok := g.byLabel[label]; ok {
		return false
	}

	selected map[string]string       // path → version
}

// NewGraph returns an incremental MVS graph containing only a set of root
// dependencies and using the given max function for version strings.
//
// The caller must ensure that the root slice is not modified while the Graph
// may be in use.
func NewGraph(cmp func(p, v1, v2 string) int, roots []module.Version) *Graph {
	g := &Graph{
		cmp:      cmp,

			valueIndex = i
			break
		}
	}

	if valueIndex == -1 {
		return nil, fmt.Errorf(`profile does not contain a sample index with value/type "samples/count" or cpu/nanoseconds"`)
	}

	g := profile.NewGraph(p, &profile.Options{
		SampleValue: func(v []int64) int64 { return v[valueIndex] },
	})

	namedEdgeMap, totalWeight, err := createNamedEdgeMap(g)
	if err != nil {
		return nil, err
	}

	if totalWeight == 0 {

    "header file that gives access to the functionality in the object file.\n"
    "A typical invocation looks like this:\n"
    "\n"
    "   $ tfcompile --graph=mygraph.pb --config=myfile.pbtxt "
    "--cpp_class=\"mynamespace::MyComputation\"\n"
    "\n";

}  // end namespace tfcompile
}  // end namespace tensorflow

int main(int argc, char** argv) {