code: def _wrap_stateless(op_class, op_name, wrapper_name):
      """Wraps stateless Eager Operator in a function. Callable the same way as functions in fn API,
      but directly with TensorLists.
      """
  
      def wrapper(*inputs, **kwargs):
          inputs, init_args, call_args = _prep_args(
              inputs,
              kwargs,
              op_name,
              wrapper_name,
              _callable_op_factory.disqualified_arguments,
          )
  
          key = _gen_cache_key(op_name, inputs, init_args, call_args)
  
          if key not in _stateless_operators_cache:
              _stateless_operators_cache[key] = _callable_op_factory(
                  op_class, wrapper_name, len(inputs), call_args.keys()
              )(**init_args)
  
          return _stateless_operators_cache[key](inputs, call_args)
  
      return wrapper
  
imports: import sys
  from nvidia.dali import backend
  from nvidia.dali import internal
  from nvidia.dali import ops
  from nvidia.dali import tensors
  from nvidia.dali import types
  from nvidia.dali.external_source import _prep_data_for_feed_input
label_desc: Use image node_id 43 for calling a global function with example usage: _wrap_stateless(op_class, op_name, wrapper_name) and returns: wrapper, _stateless_operators_cache