Paddle

Commit Graph

Author	SHA1	Message	Date
yaoxuefeng	2235ee1a5e	multi-loss optimization by adding a DownpourOpt worker (#22025 ) * update * update test=develop * update compile set test=develop * update compile set test=develop * update test=develop * update test=develop * update test=develop * update compile setting test=develop * update compile setting test=develop * update run demo test=develop * update test=develop * update test=develop * fix test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update format test=develop * update format test=develop * update style test=develop * update style test=develop * change style test=develop * change style test=develop * change style test=develop * add dataset unittest test=develop * update test=develop * update for record test=develop * udpate style for record test=develop * update for record test=develop * update for record test=develop * update for record test=develop * fix format test=develop * update test=develop * update test=develop * update test=develop * update test=develop * update test=develop	5 years ago
Wilber	7bc4b09500	add WITH_NCCL option for cmake. (#22384 ) cmake选项中添加了WITH_NCCL，显示指定是否编译NCCL的部分代码，WITH_NCCL默认打开，但如果WITH_GPU为OFF，则关闭WITH_NCCL 添加了PADDLE_WITH_NCCL定义单机单卡能够关闭NCCL编译，多卡的话需要默认打开NCCL，如果关闭NCCL，则只能使用单卡 Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>	5 years ago
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
dongdaxiang	39014b9f9f	fix class register problem	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

6 Commits (a97d5a6153ac972435e6f2e6915c180400742fe7)