Comments (1)
This bit was meant to illustrate that decoder rollout is somewhat arbitrary and is controlled by us. This is probably not very important implementation detail given scope of tutorial 1. Dropped it.
from tensorflow-seq2seq-tutorials.
Related Issues (20)
- new changes in tensorflow HOT 4
- My own embedding HOT 1
- Multilayered Bidirectional seq2seq HOT 6
- Potential bug of the dynamic_decoder HOT 2
- OOM error after running some batches HOT 3
- Beam search toy example
- Using the same weights in two different positions seems wrong
- module 'tensorflow.contrib.seq2seq' has no attribute 'prepare_attention' HOT 2
- there is no input argument when loop_fn method is called. HOT 1
- Increasing max sequence length and vocab size HOT 1
- How does inference work? Always getting same predictions HOT 2
- Duplicated computation of decoder outputs?
- toy task-example1-error
- testing
- Attempted an implementation
- good job
- Logits and labes have different shapes when computing cross-entropy loss HOT 1
- decoder input
- ask for help
- How to connect multilayered encoder to decoder?
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from tensorflow-seq2seq-tutorials.