deep learning - Modify Decoder Cell Input in seq2seq during Inference in Tensorflow -


i trying implement deep fusion seq2seq architecture presented in paper . architecure nothing vanilla seq2seq + language model in decoder.

in vanilla seq2seq during inference, input of decoder cell output of previous decoder cell. , in tensorflow, greedyembeddinghelper takes care of that.

but in model, input of decoder cell f(prev_decoder_output, lm output), f function, i.e., input of next cell dependent upon output of previous cell lm model @ point.

my question is, how modify input of decoder cell in tensorflow api ?

i using tf 1.2's seq2seq functions.


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