code: def _flat_autograd_norm(
      tensor, **kwargs
  ):  # pylint: disable=unused-argument
      """Helper function for computing the norm of an autograd tensor when the order or axes are not
      specified. This is used for differentiability."""
      x = np.ravel(tensor)
      sq_norm = np.dot(x, np.conj(x))
      return np.real(np.sqrt(sq_norm))
  
imports: import functools
  from collections.abc import Sequence
  import autoray
  import numpy
  from autograd.numpy.numpy_boxes import ArrayBox
  from autoray import numpy
  from numpy import ndarray
  from .None import single_dispatch
  from .utils import cast, cast_like, get_interface, requires_grad
label_desc: Use image node_id 24 for calling a global function with example usage: _flat_autograd_norm(tensor) and returns: np