// An empty init_op_name indicates that there are no init ops to run.
Status RunInitOp(const RunOptions& run_options, const string& export_dir,
                 const MetaGraphDef& meta_graph_def,
                 const std::vector<AssetFileDef>& asset_file_defs,
                 Session* session, const string& init_op_name) {
  if (!init_op_name.empty()) {

  the representative dataset for the actual data provided for inference.

  Args:
    model_dir: Path to SavedModel directory.
    tags: Collection of tags identifying the MetaGraphDef within the SavedModel.
    representative_dataset_map: A map where signature keys are mapped to
      corresponding representative datasets.

  Raises:

message WeightOnlyPtqPreset {}

// Metadata specific to the input TensorFlow SavedModel, which may be required
// to identify the specific MetaGraphDef to quantize, for example.
// Next ID: 2
message TfSavedModelConfig {
  // Set of tags that uniquely identify the `MetaGraphDef` existing in the
  // input SavedModel.
  repeated string tags = 1;
}

// Configures the graph transformation pipeline for quantization.

  TF_RETURN_IF_ERROR(ReadBinaryProto(Env::Default(), pb_file, &saved_model));

  // Create a copy of `metagraph` which will be used and mutated for fingerprint
  // computation.
  FingerprintDef fingerprint_def;
  MetaGraphDef* metagraph = saved_model.mutable_meta_graphs(0);
  // Set fingerprint field #1.
  fingerprint_def.set_saved_model_checksum(HashSavedModel(saved_model));
  // Set fingerprint field #2.

    absl::string_view saved_model_dir,
    const std::unordered_set<std::string>& tags,
    absl::Span<std::string> exported_names, mlir::MLIRContext* context,
    MLIRImportOptions options) {
  MetaGraphDef meta_graph_def;
  auto status =
      ReadMetaGraphDefFromSavedModel(saved_model_dir, tags, &meta_graph_def);
  if (!status.ok()) {
    LOG(ERROR) << "Failed to load saved model v1 '" << saved_model_dir

  Args:
    saved_model_path: Path to the saved model.
    signature_keys: List of keys identifying SignatureDef to retrieve. If None,
      retrieve all except the init signature.
    tags: Set of tags identifying the MetaGraphDef within the SavedModel.

  Returns:
    A map from signature_key to its SignatureDef.
  """
  if tags is None:
    tags = {tag_constants.SERVING}

  loader = saved_model_loader.SavedModelLoader(saved_model_path)

  Returns:
    A SavedModel object with TF quantization applied.

  Raises:
    ValueError: when representative_dataset is not provided for non-QAT model.
    RuntimeError: When a MetaGraphDef could not be found associated with `tags`
      in the SavedModel.
  """
  logging.info(
      'Running static range quantization on model: %s', src_saved_model_path
  )