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Paddle
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18 Commits (b4b169467ba27d04e6d4bd5c6bc3f7abbba04c65)

Author SHA1 Message Date
jiaqi 66d51206b1
add save/load model, shrink table, cvm, config file & fix pull dense bug (#17118)
6 years ago
xjqbest 782ab2e2bd add some doc
6 years ago
xjqbest a99c8d0c29 fix client to client communication bug
6 years ago
dongdaxiang 98dda08a85 fix pull sparse slow problem
6 years ago
dongdaxiang d4514949bf remove local random engine in fleet with rand_r()
6 years ago
dongdaxiang a0b59773af fix code style
6 years ago
xjqbest a34fe6248f add some doc
6 years ago
xujiaqi01 f5c6a14b54 fix runtime error
6 years ago
xujiaqi01 a5b1a0e12b support multi dataset && add init model && fix bug
6 years ago
dongdaxiang 317eb0aad3 add incubate for unified API
6 years ago
xujiaqi01 39449ba0b9 fix bug && add DestroyReaders in trainer
6 years ago
xujiaqi01 ecfc7df913 add dataset factory && fix style
6 years ago
xujiaqi01 3cea00bd52 store memory data in Dataset && fix bug
6 years ago
dongdaxiang be757096da add pybind for fleet
6 years ago
dongdaxiang f2bde9c241 fix destructor problem
6 years ago
dongdaxiang 378037c535 make s_instance_ private to ensure singleton
6 years ago
dongdaxiang c165012031 refine device_worker and trainer code
6 years ago
dongdaxiang 855bf579d2 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
6 years ago