code: def plot_grads_at(
      model,
      sample_pil_img,
      feature_map_index=0,
      point=(8, 8),
      figsize=(6, 6),
  ):
      rf, rf_params = _get_rf(
          model, sample_pil_img
      )  # pylint: disable=unused-variable
      return rf.plot_gradient_at(
          fm_id=feature_map_index,
          point=point,
          image=None,
          figsize=figsize,
      )
  
imports: from receptivefield.pytorch import PytorchReceptiveField
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: plot_grads_at(model, sample_pil_img, feature_map_index, point, figsize) and returns: rf