Paddle

Commit Graph

Author	SHA1	Message	Date
hutuxian	969e6378b9	Pipeline Concurrency (#17402 ) 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	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
dongdaxiang	3c2d236815	remove all warnings test=develop	6 years ago
dongdaxiang	88880d9b69	fix import trainer_desc_pb2 error test=develop	6 years ago
dongdaxiang	5687f234bf	fix trainer_desc.proto error	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	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	c165012031	refine device_worker and trainer code test=develop	6 years ago
dongdaxiang	8a335b50be	add downpour device_worker pb configuration	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

14 Commits (157211c4e14f2e2917f1098c6ad8dd0761050d14)