- 29 12月, 2020 1 次提交
-
-
由 Thunderbrook 提交于
* cherry pick heter ps * CMakeList
-
- 23 11月, 2020 1 次提交
-
-
由 Thunderbrook 提交于
* ps gpu transpile * ps gpu * remove op * gps trainer * local ps * add macro * HeterBox * def cuda * tab * code style * style Co-authored-by: Thunderbrook <a754913769#163.com>
-
- 25 9月, 2020 1 次提交
-
-
由 Thunderbrook 提交于
* add xpu in heter mode test=develop * BOOST_CONST_GET; PADDLE_THROW test=develop * code style test=develop * code style test=develop * code style test=develop * refine test=develop * refine test=develop * refine test=develop * refine code test=develop
-
- 24 9月, 2020 1 次提交
-
-
由 wanghuancoder 提交于
* use iwyu clean include, test=develop, test=win * compilation error, test=develop * fix compilation error2, test=develop * fix compilation error3, test=develop * fix compilation error4, test=develop * fix compilation error5, test=develop * fix compilation error6, test=develop * fix compilation error7, test=develop * fix compilation error8, test=develop * fix compilation error8, test=develop * fix compilation error10, test=develop * fix compilation error11, test=develop
-
- 06 8月, 2020 1 次提交
-
-
由 Thunderbrook 提交于
* add heter ps mode * code style test=develop * add with_pslib test=develop * unitest test=develop * code style test=develop * code style test=develop * code style test=develop * code style test=develop * code style test=develop * code style test=develop * code style test=develop * code style test=develop * test monitor test=develop * prepare trainer test=develop * code style test=develop
-
- 05 2月, 2020 1 次提交
-
-
由 Wilber 提交于
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: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
-
- 11 6月, 2019 1 次提交
-
-
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
-
- 29 3月, 2019 4 次提交
-
-
由 dongdaxiang 提交于
-
由 dongdaxiang 提交于
test=develop
-
由 dongdaxiang 提交于
test=develop
-
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
-