code: def qnode_execution_wrapper(self, qnode, targs, tkwargs):
      """Here, we overwrite the QNode execution wrapper in order
      to take into account that classical processing may be present
      inside the QNode."""
  
      tkwargs["device"] = qnode.device
  
      return self.default_qnode_transform(qnode, targs, tkwargs)
  
imports: from functools import partial
  from typing import Callable, Sequence
  import pennylane
  from pennylane.tape import QuantumTape
  from pennylane.devices import DefaultQubit, DefaultQubitLegacy, DefaultMixed
  from pennylane.measurements import StateMP, DensityMatrixMP
  from pennylane.gradients import adjoint_metric_tensor, metric_tensor
  from pennylane import transform
label_desc: Use image node_id 15 for calling a global function with example usage: qnode_execution_wrapper(qnode, targs, tkwargs) and returns: self