tsl::Set_TF_Status_from_Status(status, s);
    return "// error";
  }

  std::unique_ptr<tensorflow::FunctionBody> fbody;
  s = FunctionDefToBodyHelper(*fdef, tensorflow::AttrSlice(), &flib_def,
                              &fbody);
  if (!s.ok()) {
    tsl::Set_TF_Status_from_Status(status, s);
    return "// error";
  }

  mlir::DialectRegistry registry;

std::unordered_set<string> Scope::Impl::GetColocationConstraints(
    const Operation& colocate_with_op) const {
  std::unordered_set<string> current_constraints(colocation_constraints_);
  const AttrSlice attrs = colocate_with_op.node()->attrs();
  std::vector<string> node_constraints;
  if (TryGetNodeAttr(attrs, kColocationAttrName, &node_constraints)) {
    for (const string& entry : node_constraints) {

                                          TF_Status* status) {
  auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelConstruction*>(ctx);
  const tensorflow::AttrValue* attr =
      ::tensorflow::AttrSlice(cc_ctx->def()).Find(attr_name);
  if (attr == nullptr) {
    status->status = absl::InvalidArgumentError(
        absl::StrCat("Operation '", cc_ctx->def().name(),

      has_ref_vars_(has_ref_vars) {}

void XlaLocalLaunchBase::ComputeAsync(OpKernelContext* ctx, DoneCallback done) {
  VLOG(1) << "XlaLocalLaunchOpBase::Compute "
          << Canonicalize(function_.name(), AttrSlice(&function_.attr()));
  xla_launch_counter->GetCell(platform_info_.device_type().type_string())
      ->IncrementBy(1);

  std::vector<const Tensor*> inputs = InputsFromContext(ctx);