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 __init__(self, params, mode, vocab_size, name="basic_decoder"):
      super(BasicDecoder, self).__init__(params, mode, name)
      self.vocab_size = vocab_size
  
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 1 to create a new BasicDecoder object from inherited base classes: RNNDecoder with example: obj = BasicDecoder(params, mode, vocab_size, name)