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 output_dtype(self):
      return DecoderOutput(
          logits=tf.float32,
          predicted_ids=tf.int32,
          cell_output=tf.float32,
      )
  
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 4 for calling the BasicDecoder obj's underlying member method code with example usage: obj.output_dtype() and returns: DecoderOutput