Paddle

Commit Graph

Author	SHA1	Message	Date
jiaqi	768059b3a0	adjust ins weight according to nid slot (#18784 ) adjust ins weight according to nid slot , user can specify adjust_ins_weight in strategy	6 years ago
fuyinno4	c167a4b4dd	Fix shrink-dense and add scale-datanorm (#18746 ) Fix FleetWrapper: 1. fix shrink dense: just scale show 2. add datanorm scale: divide datanorm's gradient by batch_size	6 years ago
Thunderbrook	d8396281ef	add slot to sparse table (#18686 ) The change includes 2 things: 1. save delta model and shrink table are control by the same parameter before, now add delete_after_unseen_days to control shrink table. 2. value in sparse table has no slot before, now add slot in sparse table, and add DownpureCtrAccessor to support the new meta. test=develop	6 years ago
jiaqi	d18aabb472	support patch data, add load_one_table, fix bug (#18509 ) （1）support patch data （merge slots of instances of same line id, modify dense layer which changes its size）（2）add fleet load_one_table interface, support load from paddle model and load from pslib model （3）fix push sparse bug which cause push sparse cost more time（about 10% in my testcase）（4）when some slots are not in one of your network (join/update, etc.)，data feed、collect label info、push/pull sparse will skip these slots， instead of throw error. （5）add more debug info in TrainFilesWithProfiler	6 years ago
jiaqi	66d51206b1	add save/load model, shrink table, cvm, config file & fix pull dense bug (#17118 ) * add save/load model, shrink table, cvm, config file & fix pull dense bug test=develop * fix global shuffle bug, fix pull dense bug, fix release memeory bug, fix shrink error add client flush, add get data size test=develop * fix global shuffle bug test=develop * fix global shuffle bug test=develop * fix code style test=develop * fix code style & modify pslib cmake test=develop * fix error of _role_maker test=develop * fix code style test=develop * fix code style test=develop * fix code style test=develop * fix code style test=develop * fix code style test=develop * fix windows compile error of fleet test=develop * fix global shuffle bug * add comment test=develop * update pslib.cmake test=develop * fix fill sparse bug test=develop * fix push sparse bug test=develop	6 years ago
guru4elephant	5d6a1fcf16	fix infer_from_dataset and train_from_dataset (#17243 ) * fix train_from_dataset and infer_from_dataset example * add inductive dim for data_reader, example: shape=[-1, 1], then -1 will be inducted through run-time reading of number of elements	6 years ago
dongdaxiang	3c2d236815	remove all warnings test=develop	6 years ago
dongdaxiang	98dda08a85	fix pull sparse slow problem test=develop	6 years ago
xjqbest	030c7e7e9d	fix FillSparseValue error test=develop	6 years ago
dongdaxiang	d87ba58c14	refine document of python API, make device_worker and trainer's API private test=develop	6 years ago
dongdaxiang	b95b80bc76	add doc string for executor and update API.spec test=develop	6 years ago
dongdaxiang	6bf796df14	refine print fetch list	6 years ago
dongdaxiang	68d7bf3de5	add fetch var function test=develop	6 years ago
dongdaxiang	73b1f396d7	add data_generator into paddle.fluid.incubate.data_generator, add op run log in hogwild_device_worker and downpour_device_worker test=develop	6 years ago
dongdaxiang	73544e8b8d	add training speed log	6 years ago
dongdaxiang	9419de521f	add IO percent for multi_trainer	6 years ago
dongdaxiang	6af697adb0	add trainfileswithprofiler for downpour worker	6 years ago
dongdaxiang	2644b88685	add comment for MPI Symetric role maker test=develop	6 years ago
heqiaozhi	9bca1926c1	refactor & fix bug	6 years ago
dongdaxiang	cf1360643f	add printer for fetch variable	6 years ago
dongdaxiang	97d5cd30f0	make pull dense worker work	6 years ago
dongdaxiang	39014b9f9f	fix class register problem	6 years ago
dongdaxiang	378037c535	make s_instance_ private to ensure singleton	6 years ago
dongdaxiang	c165012031	refine device_worker and trainer code test=develop	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

25 Commits (5b6673c44df19ee89c191cc7efeb669c1943050f)