Comments (3)
It's intentional. The "last state" is also a bit ambiguous since we have two of them (bidirectional) but the decoder is uni directional. Also, the attn paper has this architecture (I.e no other connections other than attn)
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Hmmmmmmm is it a standard practice? THANK YOU for answering so quickly!
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I believe so, when you are using attention the decoder starts with 0 hidden state.
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Related Issues (17)
- error at line ret_vars = tf.while_loop(cond=beam_cond, body=beam_step, loop_vars=loop_vars, back_prop=False) of function setup_beam HOT 5
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- data url invalid HOT 3
- Unaviable data HOT 4
- no method to create vocab.dat
- Which TF version to use? HOT 1
- The link in the Other Implementations is not working
- Is downscale still used?
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- Meet "disturbing performance" when decode sentence HOT 10
- tar files can not download HOT 3
- how to use lang-8 and CoNLL data? HOT 5
- Exploding gradients for long running task HOT 1
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