code: def grad_fn(tape, dev, fn=pulse_odegen, **kwargs):
      """Utility function to automate execution and processing of gradient tapes"""
      _tapes, fn = fn(tape, **kwargs)
      return fn(dev.execute(_tapes)), _tapes
  
imports: import copy
  import pytest
  import numpy
  import pennylane
  from pennylane import numpy
  from pennylane.ops.qubit.special_unitary import pauli_basis_matrices, pauli_basis_strings
  from pennylane.math import expand_matrix
  from pennylane.gradients.pulse_gradient_odegen import _generate_tapes_and_coeffs, pulse_odegen, _insert_op, _nonzero_coeffs_and_words, _one_parameter_generators, _one_parameter_paulirot_coeffs, _parshift_and_contract
label_desc: Use image node_id 1 for calling a global function with example usage: grad_fn(tape, dev, fn) and returns: fn,  _tapes