code: def _convert(jac, dy_row):
      """Utility to convert and cast the jacobian as dy_row."""
      if isinstance(jac, tuple):
          jac_new = []
          for j in jac:
              j_ = qml.math.convert_like(j, dy_row)
              j_ = qml.math.cast_like(j_, dy_row)
              jac_new.append(j_)
          jac = tuple(jac_new)
      else:
          jac = qml.math.convert_like(jac, dy_row)
          jac = qml.math.cast_like(jac, dy_row)
      return jac
  
file_path: pennylane/pennylane/gradients/vjp.py
imports: import numpy
  import autograd
  import pennylane
label_desc: Use image node_id 1 for calling a global function with example usage: _convert(jac, dy_row) and returns: jac