1. 26 4月, 2021 1 次提交
  2. 23 4月, 2021 1 次提交
  3. 24 9月, 2020 1 次提交
    • W
      use iwyu clean include (#27267) · df43905f
      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
      df43905f
  4. 09 3月, 2020 1 次提交
  5. 31 10月, 2019 1 次提交
    • H
      GradMaker for dygraph (#19706) · 8c4573a3
      hong 提交于
      * refactor dygraph,test=develop
      
      * fix failed unittest,test=develop
      
      * polish code,test=develop
      
      * check windows ci error,test=develop
      try to fix windows ci error by np.allclose,test=develop
      
      * polish vlog and profiler, test=develop
      
      * try to fix preceding ops order,test=develop
      
      * test transformer in windows ci, test=develop
      
      * use python c-api to speed up tracer.trace,test=develop
      
      * test=develop, fix docker with paddle nccl problem
      
      * test=develop, add ut for debug string and gradient_accumulator
      
      * test=develop, add tests for layer/gradient_accumulator/prepared_op
      
      * test=develop, fix complie error for test_prepared_op
      
      * test=develop, add more ut for dygraph
      
      * test=develop, create API.spec for dygraph api change
      
      * optimize grad maker; test=develop
      
      * optimize grad maker
      
      * test
      
      * grad make optim; test=develop
      
      * fix unittest bugs; test=develop
      
      * add dygraph grad op maker and split_op
      
      * grad op maker refactor; test=develop
      
      * add dygraph grad maker; test=develop
      
      * fix op deformable_conv_v1_op bug; test=develop
      
      * fix deformable_conv prroi pool bugs;
      
      * fix new op grad op maker bug; test=develop
      
      * fix split by ref bug; test=develop
      
      * fix dygraph auto prune bug; test=develop
      
      * fix test_trace bug; test=develop
      
      * fix fused emb seq pool bug; test=develop
      
      * remove useless code in op_desc file; test=develop
      
      * remove useless code, StrVarBaseNode; test=develop
      
      * fix review issues; test=develop
      
      * fix rank_loss grad maker; test=develop
      
      * remove flag in VarBase; test=develop
      
      * fix distributed_notify_op compile bug ; test=develop
      
      * fix reshape op double grad; test=develop
      
      * fix expand as op; test=develop
      
      * add impertive type_defs.h for demo_train; test=develop
      
      * fix inference lib cmake; test=develop
      
      * fix inference lib; test=develop
      
      * fix infernce_lib; test=develop
      
      * fix inference cmake; test=develop
      
      * fix inference lib; test=develop
      
      * fix inference lib; test=develop
      
      * remove condition dygraph grad maker, modify local name; test=develop
      
      * fix split grad maker bug; test=develop
      
      * fix pyramid_op bug; test=develop
      
      * change travis time out limit; test=develop
      
      * restore travis; test=develop
      
      * change timeout limit; test=develop
      8c4573a3
  6. 02 7月, 2019 1 次提交
    • Y
      supports collective training with programs (#18392) · a873fa84
      Yi Liu 提交于
      1. Since allreduce op has 4 reduce types, We split these four reduce types into four ops
      2. We also refined the collective op code, e.g. we separated the collective op kernel into CPUKernel and CUDAKernel, and remove the device specified DeviceContext parameter in template as we already knew the target DeviceContext
      3. We remove the newly added Collective op role to reduce the complexity of program and graph analysis
      a873fa84