1. 16 8月, 2019 1 次提交
  2. 12 8月, 2019 1 次提交
  3. 02 8月, 2019 1 次提交
    • J
      support filelist size < trainer num && fix pull dense (#18956) · 02c370c3
      jiaqi 提交于
      * support filelist size < trainer num
      * pull dense when stop, to make sure local dense params are same as pserver, so save paddle model will save dense model same as pserver
      *  enable QueueDataset train same filelist for serveral times
      02c370c3
  4. 22 7月, 2019 1 次提交
  5. 27 6月, 2019 1 次提交
    • H
      supports collective communicated training (#18175) · b7128bac
      HaoRen 提交于
      * fix prepare context redundant code problem, optimize executor by caching create_varaiables
      test=develop
      
      * supports collective training in executor
      
      * make fetch_list runable with variables, add more unittest for use_program_cache
      test=develop
      
      * fix comment
      test=develop
      
      * use unique name for nccl_id
      
      * supports output to stream in program_to_code
      
      * insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code
      
      * set op role in collective training
      
      * add collective op role
      
      * remove orig file
      
      * add build optimizer by strategy
      
      * add collective strategy
      
      * refine collective strategy
      
      * add multi-process role maker
      
      * refine strategy building factory so that we can easily plugin more strategy
      
      * scale loss grad in collective sgd transpiler
      
      * add support for distributed fc
      
      * code format
      
      * revert some features for dist fc
      
      * add support for distributed fc training
      
      * fix prepare context redundant code problem, optimize executor by caching create_varaiables
      test=develop
      
      * supports collective training in executor
      
      * make fetch_list runable with variables, add more unittest for use_program_cache
      test=develop
      
      * use unique name for nccl_id
      
      * supports output to stream in program_to_code
      
      * insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code
      
      * set op role in collective training
      
      * add collective op role
      
      * fix comment
      test=develop
      
      * remove orig file
      
      * add build optimizer by strategy
      
      * add collective strategy
      
      * refine collective strategy
      
      * add multi-process role maker
      
      * refine strategy building factory so that we can easily plugin more strategy
      
      * scale loss grad in collective sgd transpiler
      
      * add support for distributed fc
      
      * code format
      
      * revert some features for dist fc
      
      * add support for distributed fc training
      
      * test=develop
      add collective op unittest standard
      
      * test=develop
      remove the test_collective directory
      
      * test=develop
      remove the test_collective directory
      
      * remove slicegather test
      
      * code format for reducescatter
      
      * update attr of shard_index_op
      
      * Modify macro nccl_helper
      
      * remove test without distribute
      
      * macro collective_helper
      
      * marcro update
      
      * test=develop
      update support python3.5
      
      * test=develop change gpu memory use to 0.1 when test
      
      * test=develop
      update ut equal func
      
      * test=develop
      set flags to 1.5
      
      * test=develop fix pickle dumple  py35
      
      * test=develop
      fix divide in slice and add sync_comm_stream
      update atol and rtol to 1e-05
      rm shard_index op and test
      modify read input from file to read from memory
      remove origin_program in framework and add i/o in c_sync_calc_stream
      
      * test=develop update unittest sync operator I/O
      b7128bac
  6. 17 6月, 2019 2 次提交
  7. 12 6月, 2019 1 次提交
  8. 23 5月, 2019 1 次提交
  9. 09 5月, 2019 1 次提交
  10. 25 4月, 2019 1 次提交