code: def _transpile_qnode(self, qnode, targs, tkwargs):
      """Custom qnode transform for ``transpile``."""
      if tkwargs.get("device", None):
          raise ValueError(
              "Cannot provide a 'device' value directly to the defer_measurements decorator "
              "when transforming a QNode."
          )
  
      tkwargs.setdefault("device", qnode.device)
      return self.default_qnode_transform(qnode, targs, tkwargs)
  
file_path: pennylane/pennylane/transforms/transpile.py
imports: from functools import partial
  from typing import List, Union, Sequence, Callable
  import networkx
  import pennylane
  from pennylane.transforms import transform
  from pennylane import Hamiltonian
  from pennylane.operation import Tensor
  from pennylane.ops import __all__
  from pennylane.ops.qubit import SWAP
  from pennylane.queuing import QueuingManager
  from pennylane.tape import QuantumTape
label_desc: Use image node_id 4 for calling a global function with example usage: _transpile_qnode(qnode, targs, tkwargs) and returns: self