parameters: (self, keys_to_features, items_to_handlers)
docstring: Constructs the decoder.
  
      Args:
        keys_to_features: a dictionary from TF-Example keys to either
          tf.VarLenFeature or tf.FixedLenFeature instances. See tensorflow's
          parsing_ops.py.
        items_to_handlers: a dictionary from items (strings) to ItemHandler
          instances. Note that the ItemHandler's are provided the keys that they
          use to return the final item Tensors.
docstring_summary: Constructs the decoder.
docstring_tokens: Constructs the decoder .
function: def __init__(self, keys_to_features, items_to_handlers):
      """Constructs the decoder.
  
      Args:
        keys_to_features: a dictionary from TF-Example keys to either
          tf.VarLenFeature or tf.FixedLenFeature instances. See tensorflow's
          parsing_ops.py.
        items_to_handlers: a dictionary from items (strings) to ItemHandler
          instances. Note that the ItemHandler's are provided the keys that they
          use to return the final item Tensors.
      """
      self._keys_to_features = keys_to_features
      self._items_to_handlers = items_to_handlers
function_tokens: def __init__ ( self , keys_to_features , items_to_handlers ) : self . _keys_to_features = keys_to_features self . _items_to_handlers = items_to_handlers