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Intel now provides apt packages for the MKL, which should make compiling Marian within Docker easy.
Details here: http://dirk.eddelbuettel.com/blog/2018/04/15/
Currently, each device loads models separately. Marcin mentioned that he has/will implement(ed) a mechanism to send pointers to models and working memory to workers, so that models can be shared.
Action items
[ ] check with Marcin about the status of this feature
[ ] implement in Marian server
Because cmake 3.11 currently can't find the static openblas library, we currently have to build Marian
with dynamic linking. Once Issue #1 has been resolved, we should revisit static compilation.
Let's use the one from NLTLK:
import nltk
ssplit=nltk.data.load('tokenizers/punkt/portuguese.pickle')
sents = ssplit.tokenize(data)
Eserix does not seem to be able to recognise dates properly. E.g.,
Am 5. Oktober geht es los.
is split into
Am 5.
Oktober geht es los.
.. if nothing has changes in the respective stage, no new image build should be necessary; force re-build by using build arguments early in the Dockerfile. If the argument changes, docker should not use the cache after that point.
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