class_docstr: Decode key/data sets using a list of handlers.
  
  For each key/data item, this iterates through the list of
  handlers until some handler returns something other than None.
class_docstr_tok: ["Decode","key\/data","sets","using","a","list","of","handlers",".","For","each","key\/data","item",",","this","iterates","through","the","list","of","handlers","until","some","handler","returns","something","other","than","None","."]
code: def decode(self, data):
      result = {}
      # single data tuple(pathname, data stream)
      if isinstance(data, tuple):
          data = [data]
  
      if data is not None:
          for k, v in data:
              # TODO: xinyu, figure out why Nvidia do this?
              if k[0] == "_":
                  if isinstance(v, bytes):
                      v = v.decode("utf-8")
                      result[k] = v
                      continue
              result[k] = self.decode1(self.key_fn(k), v)
      return result
  
imports: import io
  import json
  import os.path
  import pickle
  import tempfile
  import torch
  from torch.utils.data.datapipes.utils.common import StreamWrapper
label_desc: Use image node_id 5 for calling the Decoder obj's underlying member method code with example usage: obj.decode(data) and returns: result