Comments (5)
it seems that the seq2seq API changes very frequently. I tried to run tutorial #3 under tensorflow 1.0.0 and it didn't run, but 1.0.0-alpha1 worked for me a couple of days ago.
from tensorflow-seq2seq-tutorials.
it seems that the seq2seq API changes very frequently.
It's true.
At the time I wrote this, tutorial 3 works on pip-installed tensorflow, but doesn't work on compiled-from-source tensorflow. (both latest and show version 1.0.1)
However, Google's seq2seq repo works on both. (at least for the rnn_encoder_test)
from tensorflow-seq2seq-tutorials.
After they stabilize API a bit I'll update tutorial 3. It also might not be necessary if they release their own sufficienctly clear tutorials, althout at this time they went with YAML configs instead of code examples (https://google.github.io/seq2seq/nmt/).
from tensorflow-seq2seq-tutorials.
Many thanks to the pytorch seq2seq example! Seems like pytorch codes are more friendly to beginners.
from tensorflow-seq2seq-tutorials.
Hello @ematvey ,
Did you get a chance to update #3? Also do you think that #3 is better than #2?
Thank you
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.