code: def _execute(
      parameters,
      tapes,
      execute_fn,
      jpc,
  ):  # pylint: disable=unused-argument
      """Autodifferentiable wrapper around a way of executing tapes.
  
      Args:
          parameters (list[list[Any]]): Nested list of the quantum tape parameters.
              This argument should be generated from the provided list of tapes.
          tapes (Sequence[.QuantumTape]): batch of tapes to execute
          execute_fn (Callable[[Sequence[.QuantumTape]], ResultBatch]): a function that turns a batch of circuits into results
          jpc (JacobianProductCalculator): a class that can compute the vector Jacobian product (VJP)
              for the input tapes.
  
      """
      return execute_fn(tapes)
  
imports: import logging
  from typing import Tuple, Callable
  import autograd
  from autograd.numpy.numpy_boxes import ArrayBox
  import pennylane
label_desc: Use image node_id 2 for calling a global function with example usage: _execute(parameters, tapes, execute_fn, jpc) and returns: execute_fn