{"push_id":2728319322,"size":33,"distinct_size":33,"ref":"refs/heads/master","head":"7b9fc922c3af0463380a1afa373581da8e83019a","before":"fc440df9cccce7d933b520f320a546cecf82325b","commits":[{"sha":"30a58fe85a7358d1e500ddbc753e69f945dcea22","author":{"name":"Matt Post","email":"9b466094ec991a03cb95c489c19c4d75635f0ae5@cs.jhu.edu"},"message":"bugfix: added cast; plus fixed stupid mistakes in test cases (#426)\n\n* bugfix: added cast; plus fixed stupid mistakes in test cases that let it sneak in","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/30a58fe85a7358d1e500ddbc753e69f945dcea22"},{"sha":"f56e7833f472d6052a8259f404a57403cb61e4eb","author":{"name":"Felix Hieber","email":"f00a972c210634fb4132ed74ec3284672fa4f4b7@users.noreply.github.com"},"message":"Refactor beam search to use gluon hybrid blocks (#425)\n\nThis refactors beam search to group fixed-size operations in beam search into cached ops through Gluon HybridBlocks.\r\nMy testing showed ~3% speed improvement. Not much, but consistent.\r\n\r\nAnother change that is included here is to not use columns from `sequences` to pass into the decoder step module, but use `best_word_indices` from the previous iteration. NDArray indexing seems expensive and ideally we should aim for avoiding all indexing ops in an iteration.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/f56e7833f472d6052a8259f404a57403cb61e4eb"},{"sha":"e50a8f7470750aeae71e7c91ee2f537eb23c3180","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Update README.md","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/e50a8f7470750aeae71e7c91ee2f537eb23c3180"},{"sha":"cd1161a0537e9e88b8dbbd193a7258208670475b","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Inference mypy fix (#432)\n\n* Beam search concat and mypy fix.\r\n\r\n* fix","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/cd1161a0537e9e88b8dbbd193a7258208670475b"},{"sha":"83468d28b225933736f68173d8caea7b5634e2cb","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Fix: Word based batching memory with longer source sentences. (#430)\n\n* Fix: Word based batching memory with longer source sentences.\r\n\r\n* comment clarification.\r\n\r\n* typos","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/83468d28b225933736f68173d8caea7b5634e2cb"},{"sha":"7a1f3f7e1c5b46c11a0b234cdeba7252aa8c9a1f","author":{"name":"Matt Post","email":"9b466094ec991a03cb95c489c19c4d75635f0ae5@cs.jhu.edu"},"message":"added wmt18 en<>de (#431)\n\n* added wmt18 en<>de to autopilot","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/7a1f3f7e1c5b46c11a0b234cdeba7252aa8c9a1f"},{"sha":"bea8e6a329897407dc62cb8b572a1b5a8b6bef2c","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Fix for transformer-with-conv-embed encoder. 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(#444)\n\nSurprisingly, allocating memory for sequences/attentions once in beam search and writing to index t seems to be slower than concatenating with every step.\r\nLikewise, getting rid of the pad_dist write to C.PAD_ID index is faster.\r\n\r\nThis change gives about +1.5 sent/sec on a laptop/CPU and +0.1–0.5 on P2/P3s with latest MXNet.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/3c11dbd260ac6b872066537313cfdd07c4becd11"},{"sha":"49c116bce79ee318e6ed76cb29933011648ee60e","author":{"name":"Matt Post","email":"9b466094ec991a03cb95c489c19c4d75635f0ae5@cs.jhu.edu"},"message":"updated tutorial parameters to use RNN (#448)\n\n* updated tutorial parameters to use RNN\r\n\r\n* typo\r\n\r\n* updated layers","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/49c116bce79ee318e6ed76cb29933011648ee60e"},{"sha":"1e57ce47aa8cef31fe7eff924d165903e5985708","author":{"name":"Michael Denkowski","email":"5f005ca90174e76db86d19626c59d29e025c7722@gmail.com"},"message":"Switch to MKL versions of MXNet (#442)\n\n* Update requirements to mxnet-*mkl.\r\n\r\n* Update documentation and setup for requirements dir.\r\n\r\n* Use isclose to slightly relax equality check for coverage test.\r\n\r\n(Test was failing with MKL version of MXNet)\r\n\r\n* Add requirements to MANIFEST.in.\r\n\r\n* Update changelog.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/1e57ce47aa8cef31fe7eff924d165903e5985708"},{"sha":"795a5841ca1d77251dad08d2cbd066facdda2762","author":{"name":"Matt Post","email":"9b466094ec991a03cb95c489c19c4d75635f0ae5@cs.jhu.edu"},"message":"bugfix: check for symlink existence before creating (#450)\n\nOccasionally this symlink exists and then the whole training procedures dies. My guess is that stray NFS files prevent the deletion of the temporary directory from the previous round. The other files are safely overwritten because they use direct writes instead of a symlink. This should solve that problem.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/795a5841ca1d77251dad08d2cbd066facdda2762"},{"sha":"eb155a32deecda6df166f48dc562a237c3de44e1","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Set theme jekyll-theme-slate","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/eb155a32deecda6df166f48dc562a237c3de44e1"},{"sha":"a0eebaa928df18736eca804cdaf868ffac478dc0","author":{"name":"Felix Hieber","email":"f00a972c210634fb4132ed74ec3284672fa4f4b7@users.noreply.github.com"},"message":"Added new docs yml file to Manifest (#452)","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/a0eebaa928df18736eca804cdaf868ffac478dc0"},{"sha":"a4f8698dfd8afba923fa3fe4fa5e10a117c0e36b","author":{"name":"Zarana Parekh","email":"63155e067faf1da41a558ee489fa138a519a9bf0@gmail.com"},"message":"Added ROUGE score evaluation\n\nROUGE is now available as the stopping criterion for tasks such as summarization.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/a4f8698dfd8afba923fa3fe4fa5e10a117c0e36b"},{"sha":"c59361d8d1b818183bea2791360d6b121d85244b","author":{"name":"Michael Denkowski","email":"5f005ca90174e76db86d19626c59d29e025c7722@gmail.com"},"message":"Use version of NDArray split that always returns a list. (#454)\n\n* Fix source factor splitting for single factor.\r\n\r\n- Use version of ndarray split that always returns a list for uniform\r\nhandling.\r\n\r\n* Unit test for factor splitting.\r\n\r\n* Update version, changelog.\r\n\r\n* Keep original split call for sym_gen.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/c59361d8d1b818183bea2791360d6b121d85244b"},{"sha":"241a6c881029d687811179f69ad17a2052380dec","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Fixing the pyyaml version. (#458)\n\nThe new pyyaml version is introducing some issues, which we should fix. For now let's depend on the old version to unblock Travis.","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/241a6c881029d687811179f69ad17a2052380dec"},{"sha":"d48cc5ca70864d44dbad2a07097f81637dd05cad","author":{"name":"Tobias Domhan","email":"9edf75d1dec9286b66accf745828ada1695705f6@gmail.com"},"message":"Unrestricted vocabulary by default. (#456)","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/d48cc5ca70864d44dbad2a07097f81637dd05cad"},{"sha":"951e71ea61833203e6ff76078d746909f3488fb2","author":{"name":"rongzha1","email":"0ec9266133443f9bca088608a57e8692ce1b83c5@intel.com"},"message":"add Multi-instance translate chapter in README and its script example  (#361)\n\n* add chapter multi-instance translate for README.md and script mlt-trans to run multi-instance\r\n\r\n* add chapter multi-instance translate for README.md\r\n\r\n* change method to get physical cores number and add hyperlink for C4 and C5 in README.md\r\n\r\n* add option for running as benchmark or not\r\n\r\n* rewrite mlt-trans script using  python and move it to tutorials\r\n\r\n* change code according to the commnets\r\n\r\n* add chapter multi-instance translate for README.md and script mlt-trans to run multi-instance\r\n\r\n* add chapter multi-instance translate for README.md\r\n\r\n* change method to get physical cores number and add hyperlink for C4 and C5 in README.md\r\n\r\n* move mlt_cpu_trans_benchmark to tutorials and rename it process_per_core_translation\r\n\r\n* fix typo\r\n\r\n* add option for running as benchmark or not\r\n\r\n* rewrite mlt-trans script using  python and move it to tutorials\r\n\r\n* change code according to the commnets\r\n\r\n* move mlt_cpu_trans_benchmark to tutorials and rename it process_per_core_translation\r\n\r\n* add python script in tutortial\r\n\r\n* add license (Apache) and authors","distinct":true,"url":"https://api.github.com/repos/xinyu-intel/sockeye/commits/951e71ea61833203e6ff76078d746909f3488fb2"}]}
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