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","."]
docstr: Computes the decoder outputs.
docstr_tok: ["Computes","the","decoder","outputs","."]
code: def compute_output(self, cell_output):
      """Computes the decoder outputs."""
      return tf.contrib.layers.fully_connected(
          inputs=cell_output,
          num_outputs=self.vocab_size,
          activation_fn=None,
      )
  
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 2 for calling the BasicDecoder obj's underlying member method code with example usage: obj.compute_output(cell_output) and returns: tf