wsj: exposing i-vector #jobs config to the master script, #3248
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- there is the 3layer granularity: threads in a binary, mid-level processes (summing stats and saving them), top-level processes (-nj). - in our cluster it is difficult to get a JOB with too many threads (the jobs get stuck in the queue). - if the settings are exposed into the top-level script, it will be easier to change to setup to make it work well by modifying the top level script only...
danpovey reviewed Apr 18, 2019
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| # training chunk-options | ||
| chunk_width=140,100,160 | ||
| chunk_width=140,100,60 |
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can you not change the chunk_width? This could affect the results.
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I was written in documentation, that the chunk-width should be a list of integers in descending order (try length 140, 100, ...), therefore the 160 did not make sense to me, which is why I changed it. Or am I wrong? What was the intention of using the values '140,100,160' ?
danpovey pushed a commit to danpovey/kaldi that referenced this pull request Jun 19, 2019
…un script (kaldi-asr#3248) * wsj: exposing i-vector #jobs config to the master script, - there is the 3layer granularity: threads in a binary, mid-level processes (summing stats and saving them), top-level processes (-nj). - in our cluster it is difficult to get a JOB with too many threads (the jobs get stuck in the queue). - if the settings are exposed into the top-level script, it will be easier to change to setup to make it work well by modifying the top level script only...
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(summing stats and saving them), top-level processes (-nj).
(the jobs get stuck in the queue).
easier to change to setup to make it work well by modifying the top
level script only...