class_docstr: Simple RNN decoder that performed a softmax operations on the cell output.
    
class_docstr_tok: ["Simple","RNN","decoder","that","performed","a","softmax","operations","on","the","cell","output","."]
code: def initialize(self, name=None):
      finished, first_inputs = self.helper.initialize()
      return finished, first_inputs, self.initial_state
  
file_path: seq2seq/seq2seq/decoders/basic_decoder.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import tensorflow
  from seq2seq.decoders.rnn_decoder import RNNDecoder, DecoderOutput
label_desc: Use image node_id 5 for calling the BasicDecoder obj's underlying member method code with example usage: obj.initialize(name) and returns: finished,  first_inputs,  self