parameters: (self,
                 tensor_key,
                 table,
                 shape_keys=None,
                 shape=None,
                 default_value='')
docstring: Initializes the LookupTensor handler.
  
      See Tensor.  Simply calls a vocabulary (most often, a label mapping) lookup.
  
      Args:
        tensor_key: the name of the `TFExample` feature to read the tensor from.
        table: A tf.lookup table.
        shape_keys: Optional name or list of names of the TF-Example feature in
          which the tensor shape is stored. If a list, then each corresponds to
          one dimension of the shape.
        shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
          reshaped accordingly.
        default_value: The value used when the `tensor_key` is not found in a
          particular `TFExample`.
  
      Raises:
        ValueError: if both `shape_keys` and `shape` are specified.
docstring_summary: Initializes the LookupTensor handler.
docstring_tokens: Initializes the LookupTensor handler .
function: def __init__(self,
                 tensor_key,
                 table,
                 shape_keys=None,
                 shape=None,
                 default_value=''):
      """Initializes the LookupTensor handler.
  
      See Tensor.  Simply calls a vocabulary (most often, a label mapping) lookup.
  
      Args:
        tensor_key: the name of the `TFExample` feature to read the tensor from.
        table: A tf.lookup table.
        shape_keys: Optional name or list of names of the TF-Example feature in
          which the tensor shape is stored. If a list, then each corresponds to
          one dimension of the shape.
        shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
          reshaped accordingly.
        default_value: The value used when the `tensor_key` is not found in a
          particular `TFExample`.
  
      Raises:
        ValueError: if both `shape_keys` and `shape` are specified.
      """
      self._table = table
      super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
                                         default_value)
function_tokens: def __init__ ( self , tensor_key , table , shape_keys = None , shape = None , default_value = '' ) : self . _table = table super ( LookupTensor , self ) . __init__ ( tensor_key , shape_keys , shape , default_value )