class_docstr: Perform Occlusion Sensitivity for a given input
class_docstr_tok: ["Perform","Occlusion","Sensitivity","for","a","given","input"]
docstr: Save the output to a specific dir.
  
  Args:
      grid (numpy.ndarray): Grid of all heatmaps
      output_dir (str): Output directory path
      output_name (str): Output name
docstr_tok: ["Save","the","output","to","a","specific","dir",".","Args",":","grid","(","numpy.ndarray",")",":","Grid","of","all","heatmaps","output_dir","(","str",")",":","Output","directory","path","output_name","(","str",")",":","Output","name"]
code: def save(self, grid, output_dir, output_name):
      """
      Save the output to a specific dir.
  
      Args:
          grid (numpy.ndarray): Grid of all heatmaps
          output_dir (str): Output directory path
          output_name (str): Output name
      """
      save_rgb(grid, output_dir, output_name)
  
file_path: tf-explain/tf_explain/core/occlusion_sensitivity.py
imports: import math
  import numpy
  import cv2
  from tf_explain.utils.display import grid_display, heatmap_display
  from tf_explain.utils.image import apply_grey_patch
  from tf_explain.utils.saver import save_rgb
label_desc: Use image node_id 4 for calling the OcclusionSensitivity obj's underlying member method code with example usage: obj.save(grid, output_dir, output_name) without return types