parameters: (self, keys_to_tensors)
docstring: See base class.
docstring_summary: See base class.
docstring_tokens: See base class .
function: def tensors_to_item(self, keys_to_tensors):
      """See base class."""
      image_buffer = keys_to_tensors[self._image_key]
      image_format = keys_to_tensors[self._format_key]
  
      if self._repeated:
        return functional_ops.map_fn(lambda x: self._decode(x, image_format),
                                     image_buffer, dtype=self._dtype)
      else:
        return self._decode(image_buffer, image_format)
function_tokens: def tensors_to_item ( self , keys_to_tensors ) : image_buffer = keys_to_tensors [ self . _image_key ] image_format = keys_to_tensors [ self . _format_key ] if self . _repeated : return functional_ops . map_fn ( lambda x : self . _decode ( x , image_format ) , image_buffer , dtype = self . _dtype ) else : return self . _decode ( image_buffer , image_format )