Automattic / Automattic/wp-translate

Try a deeper network

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Dominant language
Python
Stars
21
Forks
7
PR merge metrics
No merged PRs in 30d

Description

When running with a config that matches the https://github.com/google/seq2seq/blob/master/example_configs/nmt_large.yml network I ended up running out of memory on the p2.xlarge GPUs. So I backed off the results a lot.

Should try experimenting with a deeper network to see if that improves performance.

Contributor guide

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Research direction

Start with example_configs/nmt_large.yml and the reported p2.xlarge GPU configuration, then reproduce the out-of-memory behavior before experimenting. Done means establishing whether a deeper network improves translation performance without exhausting GPU memory.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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