// Async compilation returns nullptr executable without an error.
  if (!executable && !pjrt_executable) {
    DCHECK(!must_compile_);
    Tensor compilation_key(cpu_allocator, DT_STRING, TensorShape({}));
    Tensor compilation_successful(cpu_allocator, DT_BOOL, TensorShape({}));
    compilation_successful.scalar<bool>()() = false;
    ctx->set_output(0, compilation_key);

      return DT_INT64;
    case toco::IODataType::UINT8:
      return DT_UINT8;
    case toco::IODataType::UINT64:
      return DT_UINT64;
    case toco::IODataType::STRING:
      return DT_STRING;
    case toco::IODataType::BOOL:
      return DT_BOOL;
    case toco::IODataType::COMPLEX64:
      return DT_COMPLEX64;
    case toco::IODataType::COMPLEX128:
      return DT_COMPLEX128;

  // Build a constant default key to specify that the unformatting should
  // transform the variables to the original format.
  builder.setInsertionPointAfter(while_op);
  tensorflow::Tensor default_key_tensor(tensorflow::DT_STRING, {3});
  default_key_tensor.vec<tensorflow::tstring>()(0) = kDefaultShardingValue;
  default_key_tensor.vec<tensorflow::tstring>()(1) = kDefaultShardingValue;

                                     data_type.value());
    const auto& resolved_dtype = data_types[data_type.index()];
    if (resolved_dtype == DT_INVALID || resolved_dtype == DT_STRING ||
        resolved_dtype == DT_RESOURCE || resolved_dtype == DT_VARIANT ||
        IsRefType(resolved_dtype))
      return errors::InvalidArgument("Unsupported dtype at index ",

  Status status;
  for (const std::vector<int64_t>& dims :
       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }
    TF_Tensor* dst = TF_TensorFromTensor(src, &status);

    case DT_INT64:
      return PrintArray(num_elts, t.flat<int64_t>().data());
    case DT_BOOL:
      return PrintArray(num_elts, t.flat<bool>().data());
    case DT_STRING: {
      string ret;
      for (int64_t i = 0; i < num_elts; ++i) {
        if (i > 0) strings::StrAppend(&ret, " ");
        strings::StrAppend(&ret, absl::CEscape(t.flat<tstring>()(i)));
      }
      return ret;

func (f *File) ImportedLibraries() ([]string, error) {
	return f.DynString(DT_NEEDED)
}

// DynString returns the strings listed for the given tag in the file's dynamic
// section.
//
// The tag must be one that takes string values: [DT_NEEDED], [DT_SONAME], [DT_RPATH], or
// [DT_RUNPATH].
func (f *File) DynString(tag DynTag) ([]string, error) {
	switch tag {

	DefaultDeploymentUniqueLabelKey string = "pod-template-hash"
)

// GetNodeMetaData function uses an environment variable contract
// ISTIO_METAJSON_* env variables contain json_string in the value.
// The name of variable is ignored.
// ISTIO_META_* env variables are passed through
func GetNodeMetaData(options MetadataOptions) (*model.Node, error) {
	meta := &model.BootstrapNodeMetadata{}

    Node* a = ops::SourceOp(
        "Const", builder.opts()
                     .WithName("A")
                     .WithAttr("dtype", DT_STRING)
                     .WithAttr("value", Tensor(DT_STRING, TensorShape())));
    Node* b = ops::UnaryOp("EncodeBase64", a, builder.opts().WithName("B"));
    ops::BinaryOp("StringSplit", a, b, builder.opts().WithName("C"));

                 const GraphDefBuilder::Options& opts) {
  return KnownShapeBase(DT_FLOAT, shape, opts);
}

Node* KeyPlaceholderShape(const GraphDefBuilder::Options& opts) {
  return KnownShapeBase(DT_STRING, {2}, opts);
}

Node* KeyPlaceholder(const string& call_node,
                     const GraphDefBuilder::Options& opts) {
  if (opts.HaveError()) return nullptr;