code: def break_dependence(explainer, op, *grads):
      """This function name is used to break attribution dependence in the graph traversal.
  
      These operation types may be connected above input data values in the graph but their outputs
      don't depend on the input values (for example they just depend on the shape).
      """
      return [None for _ in op.inputs]
  
imports: import warnings
  import numpy
  from packaging import version
  from ...utils._exceptions import DimensionError
  from .._explainer import Explainer
  from ..tf_utils import _get_graph, _get_model_inputs, _get_model_output, _get_session
  from .deep_utils import _check_additivity
label_desc: Use image node_id 18 for calling a global function with example usage: break_dependence(explainer, op) and returns: unknown