- 07 7月, 2020 1 次提交
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由 lilong12 提交于
* add device_worker for pipeline, test=develop
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- 19 5月, 2020 1 次提交
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由 hutuxian 提交于
* Refactor code for dump_field & dump_param: abstracting the common function in base class. * Support dump randomly & random with lineid * Support specify the random interval, which avoids printing too much logs.
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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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- 25 2月, 2020 1 次提交
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由 hutuxian 提交于
* Add two types of Metric Calculator: MultiTaskCalculator & CmatchRankCalculator. * Add a config for DynamicAdjustChannelNum function to denote whether we will discard the remaining instances when they are not be distributed evenly. * Remove CPU code in Pull/PushSparse and we will add it back when testing it fully. * Fix some known issues: such as copying persistable vars after one epoch running.
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- 17 2月, 2020 1 次提交
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由 123malin 提交于
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- 11 2月, 2020 1 次提交
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由 Wilber 提交于
支持不依赖nccl进行编译。[1/2] 多卡下，如果没有打开WITH_NCCL开关编译，多卡不能通信，则只能选择一张卡使用。 Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
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- 06 12月, 2019 1 次提交
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由 hutuxian 提交于
* Add a single_process_multi_thread transpiler. * Add some UTs. * Fix some API description.
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- 31 10月, 2019 1 次提交
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由 Thunderbrook 提交于
* support dump param to afs test=develop * code style test=develop * code style test=develop * dump param test=develop * dump param test=develop * dump param test=develop * dump param 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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- 07 10月, 2019 1 次提交
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由 tangwei12 提交于
add executor.FetchHandler for train/infer from the dataset
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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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- 11 6月, 2019 1 次提交
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由 hutuxian 提交于
Add Pipeline Concurrency Train Mode: - Cpp: pipeline_trainer & section_worker - Python: PipelineOptimizer - Add a new data_feed type: PrivateInstantDataFeed - Add a test demo of pipeline trainer and the test model is gnn - Do not support win32 now
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- 29 3月, 2019 10 次提交
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由 dongdaxiang 提交于
test=develop
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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
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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
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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