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… tf.contrib.legacy_seq2seq.rnn_decoder as decoder #tied: tied mode, use tf.contrib.legacy_seq2seq.tied_rnn_seq2seq for both coder and encoder #bid: bid mode, use tf.nn.bidirectional_dynamic_rnn as encoder, and use tf.contrib.legacy_seq2seq.rnn_decoder as decoder # bid mode has 2 submode: # 1: lstm submode: both encoder and decoder use tf.nn.rnn_cell.LSTMCell as the cell # 2: gru submode: both encoder and decoder use tf.nn.rnn_cell.GRUCell as the cell
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Perhaps I'm mistaken, but doesn't your extension neutralise the effect of the LinearSpaceDecoder and ResidualWrapper? |
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add new mode named "bid"
that is bidirectional_dynamic_rnn network
I test "tied" mode and "bid" mod, these 2 mod can switch correctly