- 07 9月, 2021 1 次提交
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由 Fan Zhang 提交于
* Add dump_prob & Modify dump_param * Add dump_prob & Modify dump_param * Add dump_prob & Modify dump_param * Add dump_prob & Modify dump_param * Add dump_prob & Modify dump_param
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- 01 12月, 2020 1 次提交
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由 yaoxuefeng 提交于
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- 01 4月, 2020 1 次提交
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由 xujiaqi01 提交于
* add fleet pslib pull and push sparse op and push dense op * test=develop
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- 02 2月, 2020 1 次提交
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由 xujiaqi01 提交于
* add GeneralRoleMaker which is for general usage * test=develop
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- 18 12月, 2019 1 次提交
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由 xujiaqi01 提交于
* fix compiled error of butil when with_pslib=on and with_testing=on * test=develop
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- 28 11月, 2019 1 次提交
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由 Tao Luo 提交于
* remove -Wno-error=sign-compare, make warning as error test=develop test=document_fix * fix exist compile warning test=develop
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- 15 10月, 2019 1 次提交
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由 Chengmo 提交于
* test=develop,Fix communicator slow bug * test=develop, delete if() in stop_worker() * test=develop * fix UT, test=develop * fix bug in fetch handler, test=develop * fix bug in fetch handler, test=develop * test=develop, fix fetch barrier bug * test=develop, bug fix * test=develop, bug fix * test=develop, fix bug
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- 14 10月, 2019 1 次提交
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由 Thunderbrook 提交于
* support dump multi file test=develop * dump fix num file test=develop
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- 24 9月, 2019 1 次提交
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由 xujiaqi01 提交于
* support change shuffle thread num * support change train thread num * fix receive shuffle data of each channel * data norm stop gradient * add check thread_tensor type and root_tensor type when merge metric * remove sleep in shuffle, add config * add config of pslib client to client communication * fix xbox str * add data norm op testcase * add flush in trainer finalize
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- 30 8月, 2019 1 次提交
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由 yaoxuefeng 提交于
* add thread scope stat accurate metrics test=develop * fix style * fix style * fix style * fix style test=develop * fix style test=develop * fix style test=develop * fix style test=develop * fix style test=develop * fix style test=develop * fix style test=develop * fix conflict * fix style * fix style test=develop * fix error test=develop * fix error test=develop
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- 29 8月, 2019 1 次提交
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由 Thunderbrook 提交于
* dump slot * test * proto * dump slot * test * proto * code style * code style * code style * style * add delete after unseen days * add unseen days * code style * conflict solve test=develop * add clear model * code style test=develop * code style test=develop * support debug tensor of each ins test=develop * support debug tensor of each ins test=develop * learning rate * code style * code style * code style * code style * code style * code style * code style * code style * code style * code style * code style * code style * code style test=develop * code style test=develop * unitest * style * style * multi phase * add channel * code style * style * style * unitest * style * define * define test=develop * style test=develop * rm define test=develop * linux * linux test=develop * style test=develop * output format test=develop * windows ci test=develop
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- 21 6月, 2019 1 次提交
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由 jiaqi 提交于
(1) use channel instead of vector/BlockingQueue in Dataset，to keep same with existing implementation, and make code more readable and flexible (dataset single output channel or multi output channel). one previous memory out of limit problem is cause by not release memory after training. (2) add Record because MultiSlotType costs too much memory (80B)，fix memory out of limit problem. (3) add Channel, Archive in paddle/fluid/framework (4) change dataset from shared_ptr to unique_ptr in pybind (5) move create/destroy readers from trainer to dataset (6) move shuffle from datafeed to dataset. dataset holds memory, datafeed is only for load data and feed data to network. (7) fix thread num bug of Dataset when filelist size < thread num (8) support set_queue_num in InMemoryDataset
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- 29 3月, 2019 15 次提交
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由 dongdaxiang 提交于
test=develop
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由 xujiaqi01 提交于
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由 dongdaxiang 提交于
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由 dongdaxiang 提交于
test=develop
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由 dongdaxiang 提交于
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由 xujiaqi01 提交于
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由 dongdaxiang 提交于
test=develop
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由 dongdaxiang 提交于
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由 dongdaxiang 提交于
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由 xjqbest 提交于
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由 dongdaxiang 提交于
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由 xjqbest 提交于
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由 dongdaxiang 提交于
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由 dongdaxiang 提交于
test=develop
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由 dongdaxiang 提交于
add dist_multi_trainer for distributed training, add trainer_factory and device_worker_factory so that we can easily extend new training mode, add pull dense worker which is a singleton for parameter fetching
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