class_docstr: Caches data for the TFT.
class_docstr_tok: ["Caches","data","for","the","TFT","."]
docstr: Updates cached data.
  
  Args:
    data: Source to update
    key: Key to dictionary location
docstr_tok: ["Updates","cached","data",".","Args",":","data",":","Source","to","update","key",":","Key","to","dictionary","location"]
code: def update(cls, data, key):
      """Updates cached data.
  
      Args:
        data: Source to update
        key: Key to dictionary location
      """
      cls._data_cache[key] = data
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gc
  import json
  import os
  import shutil
  import data_formatters.base
  import libs.utils
  import numpy
  import pandas
  import tensorflow
label_desc: Use image node_id 1 for calling the TFTDataCache obj's underlying member method code with example usage: obj.update(cls, data, key) without return types